analyze CODTECT

CODITECT (Core) is a distributed intelligence framework that layers a track/skill–based multi-agent system, memory, and tooling around existing coding assistants to preserve context, orchestrate work, and enforce standards across projects.¹

What CODITECT Is

A project-local framework that creates a .coditect/ (symlinked as .claude/) directory containing agents, commands, skills, scripts, workflows, and memory to augment tools like Claude, GPT, Gemini, Cursor, and Cody.¹
Designed to solve “stateless LLM session” pain by encoding project standards, decisions, and context into structured artifacts that LLMs can query and execute against.¹

Core Capabilities

208+ specialist agents (e.g., security-specialist, rust-expert, devops-engineer) encoded as markdown with YAML frontmatter.¹
325+ commands implementing slash-style workflows (/deploy, /security-scan, /git-sync) plus semantic command mapping via a Cross-LLM Bridge.¹
380+ skills (API design, CI/CD patterns, testing templates) that can be selectively loaded per track to minimize context size.¹
1,151+ workflows (N8N-compatible) to automate multi-step operations, integrated with scripts and hooks.¹
MEMORY-CONTEXT system with SHA-256 deduplication, multi-LLM session exports, and context redaction/PII controls.¹

Architecture & Data Model

Python 3.10+ codebase, with pytest, black, isort, mypy, flake8 for quality; optional RabbitMQ via aio-pika.¹
Multi-tier SQLite storage under ~/.coditect-data/context-storage/:
- platform.db for component metadata (regenerable).
- org.db for critical decisions, learnings, and error solutions (daily backup).
- sessions.db for messages, tool analytics, token economics (regenerable).
- projects.db for project metadata, embeddings, content hashes.¹
Per-LLM session storage directories (Claude, Codex, Gemini, KIMI) and standardized export paths (/sx → /cx).¹

Repository Layout

agents/, commands/, skills/, scripts/, hooks/, workflows/, prompts/, tools/ plus context-storage/, config/, internal/, docs/, distribution/, and standards for production folder structure.¹
All Markdown components follow a strict YAML frontmatter schema including component_type, status, tags, MoE metadata, and audit fields.¹

Track/Skill System & CEF

PILOT Parallel Execution Plan with 37 tracks (A–N, O–AA, AB–AK) and 15+ active tracks for pilot.¹
CODITECT Experience Framework (CEF) maps tracks ↔ skills bi-laterally:
- Track frontmatter declares associated_skills.
- Skills declare track and cef_track.
- Auto-generated index: internal/project/track-skills-index.md.¹
Operationally, this enables loading only the skills for the active track (e.g., Track C / DevOps Infra ~12 skills) rather than all 376, yielding ~90–97% context reduction.¹

Example Track Usage

Task “Set up Docker deployment pipeline”:
- Map to Track C (DevOps Infra), optionally Track A for backend coupling.
- Use task ID like C.2.1.5, load Track C skills (docker-patterns, k8s-patterns), and call /agent devops-engineer.¹

Orchestration & Automation Model

Multi-agent orchestration with a five-phase lifecycle for components: Create → Improve → Index → Activate → Context.¹
Commands and agents are activated when frontmatter is valid, status is active, and indexed into platform.db; /component-stats, /classify, and /component-lifecycle drive management.¹
Cross-LLM Bridge allows natural language instead of explicit slash commands; it parses intent, maps to commands, extracts parameters, and routes to the optimal LLM.¹
Experience packs (e.g., devops-engineer, backend-developer, ml-engineer) pre-bundle track/skill subsets to create role-based personas with 90–99% token reduction.¹

Governance, Security, and Workflow

Strong safety directives:
- No destructive shell commands (e.g., rm -rf) without explicit user confirmation.
- Protected installation locations (~/Library/Application Support/CODITECT/core/ etc.) are read-only; all edits must happen in the Git submodule.¹
Secrets management enforced via .gitignore, config location (~/.config/coditect), and helper loaders.¹
Development workflow:
- Session start with /orient, agent discovery via /which and /suggest-agent, session export /sx, and context capture /cx.¹
Task IDs are mandatory for every tool call, in the {Track}.{Section}.{Task}.{Subtask}: Description format (e.g., A.3.2.1: Add Stripe webhook endpoint) to maintain traceability.¹

If you tell me what angle you want next (e.g., “threat model,” “MoE design critique,” “how to port this to LangGraph”), I can produce a focused, copy-pasteable prompt for that analysis.

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identify the market, market size TAM, SAM, SOM, intellectual property, moat, Vision, Focus & Commitment

Founding Team & Leadership Business Model & Value Proposition Customer Discovery & Market Validation Competitive Landscape & Differentiation Product/Service Development Financial Readiness & Projections Capital Strategy & Investor Preparedness Presentation & Communication Skills Regulatory Awareness & Industry Barriers Technology & Intellectual Property

CODITECT sits in the rapidly growing AI code assistant / agentic dev tooling market and is positioned as a framework that adds multi-agent orchestration, memory, and governance around IDE-native assistants for serious engineering teams.²³⁴⁵

Market, TAM / SAM / SOM

Market definition: AI code assistants and agentic developer platforms used by professional and enterprise teams (e.g., Copilot, Claude Code, Cursor, Cody, Windsurf, CodeGPT, etc.).⁶³⁷
TAM (global):
- AI code assistants projected between ~USD 8–20B+ mid‑2020s and up to ~USD 127B by 2032 (depending on source and methodology).⁸⁹¹⁰
- This TAM includes IDE copilots, repository-aware agents, and broader AI dev tooling across all languages and company sizes.¹⁰⁸
SAM (serviceable):
- CODITECT is aimed at orgs that want multi-LLM, multi-agent orchestration, compliance-friendly context handling, and IDE/tool-agnostic augmentation (Claude Code, Cursor, Cody, etc.).³⁷²
- A reasonable working SAM for planning is the enterprise / serious‑team segment of AI code assistants and orchestration, i.e., multi‑billion USD in the 2026–2030 horizon, centered on companies with 10+ engineers and governance needs.⁸¹⁰
SOM (obtainable):
- For an early-stage platform, a realistic SOM target is low single‑digit percent of that enterprise SAM (e.g., niche adoption across several thousand teams) via direct sales, consulting + product bundling, and channel partnerships.¹¹⁴⁵

Vision, Focus & Commitment

Vision: Turn fragmented AI coding tools into a coherent, governed, multi-agent development framework that preserves context, enforces standards, and works across any IDE assistant or LLM.¹²²³
Focus:
- Enterprise-grade workflows, track-based skills, and strict architecture decisions (ADRs) to support autonomy with safety (task IDs, session logs, PII controls).²
- Multi-LLM, multi-session continuity and cost-efficient context (CEF with ~90–97% context reduction).²
Commitment:
- Explicitly versioned standards (ADR-010, ADR-012, ADR-118, ADR-122, ADR-136–138), production folder standards, and strict coding/testing guidelines show long-term commitment to a cohesive, opinionated framework.²

Founding Team & Leadership

AZ1.AI is led by a founder CEO/CTO with deep enterprise/ERP and agentic systems background, positioned publicly as builder of “Coditect – Enterprise Agentic Platform.”⁴⁵
The AGENTS doc is authored and maintained by the same founder, which indicates a hands-on technical leadership style and strong alignment between product vision and implementation.⁵²

Business Model & Value Proposition

Value proposition (for teams):
- Dramatically cut “re-explaining” context by storing decisions, skills, and workflows per project; enforce standards; orchestrate multiple agents in a repeatable way on top of IDE tools.⁶³²
- Reduce token cost and context bloat via track/skill mapping and memory-deduplication, enabling multi-LLM usage without exploding spend.²
- Provide an architecture and governance layer that standardizes how AI work is logged, attributed, and audited across LLMs and tools.²
Potential business models (implied by AZ1):
- SaaS platform for CODITECT cloud services (workstation broker, license server, org-level memory, dashboards).⁴²
- Enterprise licenses / support for regulated or large customers; consulting integration services building agentic systems on top of CODITECT.¹¹⁴

Customer Discovery & Market Validation

The framework is explicitly built around the pain that “AI assistants start each session with zero project context,” a widely reported problem in AI dev tooling literature and blogs.¹³³⁶²
Architectural features (multi-LLM exports, attribution, PII handling, 4‑tier DB, production folder standards) reflect feedback from enterprise and regulated environments where governance and auditability are buying drivers.¹⁰⁸²
Public positioning of AZ1.AI as an “agentic systems development & deployment” partner suggests early design/consulting work with enterprise clients, which doubles as validation.¹¹⁴

Competitive Landscape & Differentiation

Competitors / comparables:
- IDE-native copilots and agents: GitHub Copilot, Claude Code, Cursor, Windsurf, Sourcegraph Cody, CodeGPT, etc.¹⁴⁷³⁶
- Repo-aware coding agents: Cody, CodeGPT, and emerging agentic IDE frameworks.⁷¹⁴
CODITECT differentiation:
- Tool-agnostic; it sits “around” Claude, GPT, Gemini, Cody, Cursor, KIMI and routes intelligently, rather than competing as yet another IDE plugin.³²
- Rich multi-agent inventory (208 agents, 325+ commands, 380 skills, 1,151 workflows) structured via CEF track/skill matrix and experience packs, not one generic assistant.²
- Strong emphasis on governance: task ID protocol, LLM attribution, session logs, PII redaction, protected installation, and ADR-driven architecture, which most IDE tools only partially address.⁸¹⁰²
- Distributed intelligence .coditect folder deployed per project, enabling cross-IDE and cross-LLM consistency.²

Product / Service Development

CODITECT Core is already a substantial, versioned codebase with:
- Canonical directory layout, Python package, test suite, dev tooling, and 2,600+ components (agents, commands, skills, scripts, hooks, workflows).²
- PILOT Execution Plan with track status, showing backend, frontend, DevOps, security, testing, docs, and autonomy tracks mostly 75–100% complete; other tracks queued post-pilot.²
Integration points cover:
- IDE agents (Claude Code, Codex, Gemini, KIMI) via session directories and exports.
- N8N workflows, MCP servers, and CLI tools via scripts and tools/.²

Financial Readiness & Projections (Qualitative)

No explicit revenue or projections in the provided materials, but:
- Enterprise TAM/SAM and consulting-oriented offerings (terms of service describe “agentic systems development and integration services”) imply a path of high-value contracts plus platform revenue.⁴¹¹
- Architecture (multi-tenant databases, backup tiers, workstation broker, commerce APIs) is aligned with eventual recurring SaaS revenue and usage-based value metrics (tokens, sessions, projects).²
For an investor deck, it would be reasonable to model:
- Top-down from AI code assistant market growth (e.g., 30–40%+ CAGR in enterprise segments) and bottom-up from price per active engineer or per project.¹⁰⁸

Capital Strategy & Investor Preparedness

The depth of ADRs, PILOT plan, and track metrics are investor-friendly artifacts demonstrating disciplined execution and a fundable technical roadmap.²
An attractive capital strategy would emphasize:
- Using services revenue (agentic system consulting) to fund product development.
- Targeting a seed/Series A around turning CODITECT from framework + deployments into a recurring enterprise platform.¹¹⁴

Regulatory Awareness & Industry Barriers

The design incorporates:
- Explicit PII detection, privacy levels (public, internal, confidential, restricted), and SHA-256 deduplication for memory.²
- Multi-LLM attribution and audit logging structures suited to regulated / high‑trust environments.²
Industry barriers:
- Enterprises in financial, healthcare, and critical infrastructure require strong governance, data residency, and audit trails; these are still weak spots for many mainstream IDE assistants and thereby a barrier CODITECT helps overcome.⁸¹⁰

Technology & Intellectual Property / Moat

IP & Technology Assets

Proprietary framework (ALL RIGHTS RESERVED) with:
- 208+ specialized agents, 325+ commands, 380 skills, 1,151 workflows, and supporting scripts/DB schemas, all structured and versioned.²
- ADR-backed architecture for four-tier DB, unified multi-LLM component model, autonomous orchestration (95% autonomy), MoE analysis, and CEF track/skill mapping.²
The .coditect workspace pattern, CEF mapping, and task-ID + attribution protocols collectively form a behavioral and architectural moat more than just raw code.²

Moat Dimensions

Product moat:
- Deep integration of skills, agents, workflows, and track-based loading is non-trivial to replicate and benefits heavily from cumulative content and tuning.²
Process moat:
- Strong internal standards (code style, task IDs, classification and activation pipeline, MoE verification judges) make the system hard to clone without adopting the same rigor.²
Data moat:
- org.db, projects.db, and sessions.db accumulate unique organizational knowledge, decisions, and error solutions over time, which are highly defensible and customer‑specific.²
Network / ecosystem moat (potential):
- If CODITECT becomes the de-facto standard framework for orchestrating Claude Code, Cursor, Cody, etc., it sits in a privileged position between teams and their tools, similar to how CI/CD platforms sit between repos and deploy targets.⁷⁶³

If you want, I can next draft a single, investor-ready narrative (“CODITECT Investment Thesis”) or a structured slide outline that walks through these sections in pitch-deck order. ¹⁵¹⁶¹⁷

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founders: Hal Casteel CEO/CTO, FOUNDER/Advisor, Will McKinley, CPO, Matias van Vliet COO/CMO, Founder

The CODITECT founding team combines deep ERP/enterprise engineering, AI/UX, and sustainability‑driven go‑to‑market and capital strategy experience.¹⁸¹⁹²⁰

Hal Casteel – CEO/CTO, Founder

CEO and co‑founder of AZ1.AI, developer of CODITECT, positioned as an “Enterprise Agentic Platform.”²¹¹⁸
Background: decade‑plus as NetSuite solution architect and ERP lead at Oracle, Capgemini, Cornerstone, Red Book Connect, and GRAIL (ERP manager and supply chain systems lead). This underpins CODITECT’s enterprise‑grade architecture, data governance, and integration posture.¹⁸
Publicly represents AZ1.AI in forums and events on practical AI for business and agentic systems, reinforcing thought‑leadership positioning.²²²³²⁴²⁵

Will McKinley – CPO (Product)

Senior software engineer with strong UI and product workflow experience, including staff engineer tenure at GRAIL working on internal apps that controlled complex product workflows, payments, and medical‑trial operations.²⁰
Led UI standards, internal app frameworks, and integrations with Okta, Tableau, and PCI‑compliant environments, which maps directly to CODITECT’s focus on UX, security, and enterprise‑integrated workflows for AI agents.²⁰

Matias Meirelles van Vliet – COO/CMO, Founder

COO/CMO at Coditect.ai and co‑founder, with prior experience in impact investing, sustainability strategy, and startup acceleration (Terra Roxa Brewing, BatterEASE, healthcare innovation programs, accelerators).¹⁹
Expertise in financial modeling, ESG analysis, and venture capital (VC Lab Venture Institute Fellow), plus hands‑on experience designing metrics and impact tracking, which strengthens CODITECT’s capital strategy, GTM narratives, and data‑driven storytelling to investors and customers.¹⁹

If you’d like, I can now map these founder profiles directly onto an “Investment‑grade Team Slide” (roles, strengths, risks, mitigation) tailored for a CODITECT seed/Series A deck. ²⁶²⁷²⁸²⁹³⁰³¹³²³³

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Capability Domains

Software Development & Engineering Agents: orchestrator, debugger, code-reviewer, security-specialist, devops-engineer, database-architect, cloud-architect, frontend-react-typescript-expert, rust-expert-developer, and 40+ more Workflows: 100+ covering project lifecycle, code quality, testing, deployment, documentation Use Cases: Full-stack application development API design and implementation Database schema design and optimization CI/CD pipeline creation Security audits and vulnerability assessment Performance optimization Code review and quality assurance Example: Task( subagent_type="orchestrator", prompt="Coordinate complete feature development from requirements to deployment for user authentication system" )
Business Strategy & Planning Agents: business-intelligence-analyst, venture-capital-business-analyst, competitive-market-analyst, business-analytics Workflows: 100+ covering business planning, market analysis, financial modeling Use Cases: Business plan creation Market sizing (TAM/SAM/SOM) Financial modeling and projections Unit economics analysis Go-to-market strategy Pricing strategy development Investment readiness assessment Pitch deck preparation Example: Task( subagent_type="business-intelligence-analyst", prompt="Create comprehensive business plan for AI-powered SaaS startup including market analysis, financial projections, competitive positioning, and go-to-market strategy" )
Research & Intelligence Agents: claude-research-agent, web-search-researcher, biographical-researcher, competitive-market-analyst Workflows: 50+ covering web research, competitive intelligence, market research, academic research Use Cases: Competitive landscape analysis Market research and trend analysis Academic literature review Patent and IP research Person/company background research Industry analysis Technology assessment Customer research and personas Example: Task( subagent_type="competitive-market-analyst", prompt="Research AI-first IDE market. Identify top 10 competitors, analyze their pricing, features, funding, and market positioning. Create detailed comparison matrix." )
Education & Training Agents: ai-curriculum-specialist, assessment-creation-agent, educational-content-generator Workflows: 50+ covering curriculum design, assessment creation, learning management Use Cases: Course curriculum development Learning path design Assessment and quiz creation Educational content generation Training material development Certification program design Skill gap analysis Learning outcome measurement Example: Task( subagent_type="ai-curriculum-specialist", prompt="Design comprehensive 8-week machine learning bootcamp curriculum. Include learning objectives, hands-on projects, assessments, and estimated completion times for each module." )
Content & Marketing Agents: content-marketing, codi-documentation-writer, educational-content-generator Workflows: 50+ covering content strategy, marketing automation, documentation Use Cases: Content marketing strategy Editorial calendar planning SEO content optimization Social media strategy Email marketing campaigns Technical documentation Knowledge base creation Video/podcast scripting Example: Task( subagent_type="content-marketing", prompt="Create 90-day content marketing strategy for B2B SaaS product. Include blog topics, social media calendar, SEO keywords, distribution channels, and conversion goals." )
Finance & Investment Agents: venture-capital-business-analyst, business-intelligence-analyst Workflows: 50+ covering financial analysis, investment research, portfolio management Use Cases: Financial modeling Investment analysis Due diligence Portfolio analysis Risk assessment Valuation analysis Unit economics Cap table management Fundraising strategy Example: Task( subagent_type="venture-capital-business-analyst", prompt="Perform Series A due diligence for [startup]. Analyze financials, unit economics, market opportunity, competitive moat, and team. Provide investment recommendation." )
HR & People Operations Workflows: 50+ in HR-LEGAL-FINANCE-WORKFLOWS.md Use Cases: Hiring pipeline management Job description creation Interview process design Onboarding program development Performance review systems Employee handbook creation Compensation analysis Team structure planning Example: Task( subagent_type="orchestrator", prompt="Design complete hiring pipeline for senior engineering role. Include job description, screening criteria, interview stages, assessment rubrics, and offer process." )
Legal & Compliance Workflows: 50+ in HR-LEGAL-FINANCE-WORKFLOWS.md and LEGAL-SERVICES-INDUSTRY-WORKFLOWS.md Use Cases: Contract review preparation Compliance checklist creation Policy documentation Terms of service drafting Privacy policy development Regulatory research Risk assessment frameworks Audit preparation Example: Task( subagent_type="orchestrator", prompt="Create GDPR compliance checklist for SaaS application. Include data mapping, consent requirements, user rights implementation, and documentation needs." )
Healthcare Workflows: 50+ in HEALTHCARE-INDUSTRY-WORKFLOWS.md and EDUCATION-HEALTHCARE-WORKFLOWS.md Use Cases: Patient workflow optimization Clinical documentation Healthcare compliance Medical education content Research protocol design Quality improvement initiatives Patient education materials Healthcare analytics
Real Estate Workflows: 50+ in WORKFLOW-DEFINITIONS-REAL-ESTATE-EVENTS-TRAVEL.md Use Cases: Property analysis Market research Investment analysis Listing optimization Client management Transaction coordination Due diligence checklists Portfolio management
Manufacturing & Operations Workflows: 50+ in MANUFACTURING-AGRICULTURE-WORKFLOWS.md and OPERATIONS-PROCESS-WORKFLOWS.md Use Cases: Process optimization Quality management Supply chain analysis Inventory management Production planning Vendor management Procurement workflows Operational metrics
Retail & E-commerce Workflows: 50+ in RETAIL-ECOMMERCE-INDUSTRY-WORKFLOWS.md Use Cases: Product catalog management Pricing strategy Customer segmentation Inventory optimization Sales analysis Customer journey mapping Conversion optimization Loyalty program design
Financial Services Workflows: 50+ in FINANCIAL-SERVICES-INDUSTRY-WORKFLOWS.md Use Cases: Risk modeling Compliance automation Client reporting Portfolio analysis Trading strategies Regulatory reporting Client onboarding Due diligence
Creative & Freelance Workflows: 50+ in CREATIVE-PROFESSIONAL-FREELANCE-WORKFLOWS.md and PRODUCT-CREATIVE-WORKFLOWS.md Use Cases: Client management Project scoping Proposal creation Contract management Portfolio development Rate optimization Creative brief development Deliverable management
Personal & Lifestyle Workflows: 50+ in WORKFLOWS-PERSONAL-LIFESTYLE.md Use Cases: Personal productivity Goal setting and tracking Learning plans Health and wellness Financial planning Travel planning Home management Life administration How to Access These Capabilities
Use the /which Command /which build a business plan

→ Recommends: business-intelligence-analyst

/which analyze competitors

→ Recommends: competitive-market-analyst

/which create course curriculum

→ Recommends: ai-curriculum-specialist

Invoke Agents Directly /agent business-intelligence-analyst "Create market analysis for [market]" /agent competitive-market-analyst "Research competitors for [product]" /agent ai-curriculum-specialist "Design curriculum for [topic]"
Browse Workflow Library

See all workflow categories

ls docs/workflows/

Business workflows

cat docs/workflows/BUSINESS-SALES-WORKFLOWS.md

Research workflows

cat docs/workflows/RESEARCH-INTELLIGENCE-WORKFLOWS.md

All 15 domain libraries

cat docs/workflows/WORKFLOW-LIBRARY-INDEX.md

Search the Knowledge Base /cxq "agent for market research" /cxq "workflow for hiring" /cxq "how to create business plan"

Workflow Library Quick Reference DomainWorkflowsFile Essential Development 50 50-ESSENTIAL-WORKFLOWS.md AI/ML & Data 50 WORKFLOW-DEFINITIONS-AI-ML-DATA.md Business & Sales 50 BUSINESS-SALES-WORKFLOWS.md Business Operations 50 BUSINESS-OPERATIONS-WORKFLOWS.md Operations & Process 50 OPERATIONS-PROCESS-WORKFLOWS.md HR, Legal, Finance 50 HR-LEGAL-FINANCE-WORKFLOWS.md Creative & Freelance 50 CREATIVE-PROFESSIONAL-FREELANCE-WORKFLOWS.md Product & Creative 50 PRODUCT-CREATIVE-WORKFLOWS.md Research & Intelligence 50 RESEARCH-INTELLIGENCE-WORKFLOWS.md Investment & Trading 50 INVESTMENT-TRADING-CRYPTO-WORKFLOWS.md Education & Healthcare 50 EDUCATION-HEALTHCARE-WORKFLOWS.md Real Estate, Events, Travel 50 WORKFLOW-DEFINITIONS-REAL-ESTATE-EVENTS-TRAVEL.md Manufacturing & Agriculture 50 MANUFACTURING-AGRICULTURE-WORKFLOWS.md Retail & E-commerce 50 RETAIL-ECOMMERCE-INDUSTRY-WORKFLOWS.md Personal & Lifestyle 50 WORKFLOWS-PERSONAL-LIFESTYLE.md Total: 750+ workflows across 15 domains Agent Categories Quick Reference Business & Strategy AgentSpecialty business-intelligence-analyst Market sizing, financial modeling, unit economics venture-capital-business-analyst Investment readiness, valuations, pitch prep competitive-market-analyst Competitive intelligence, market positioning business-analytics Business metrics, KPI analysis content-marketing Marketing strategy, content planning Research & Intelligence AgentSpecialty claude-research-agent Deep research synthesis web-search-researcher Current information, web research biographical-researcher People/company research profiles Education & Content AgentSpecialty ai-curriculum-specialist Course design, learning paths assessment-creation-agent Quizzes, evaluations, rubrics educational-content-generator Learning materials, tutorials codi-documentation-writer Technical docs, guides, knowledge bases Development & DevOps AgentSpecialty orchestrator Multi-agent coordination senior-architect System design, architecture debugger Bug investigation, troubleshooting code-reviewer Code quality, best practices security-specialist Security audits, vulnerability assessment devops-engineer CI/CD, infrastructure, deployment database-architect Database design, optimization cloud-architect Cloud infrastructure, scaling Getting Started by Domain For Business Users Start with: /which [your task] to find the right agent Try: business-intelligence-analyst for strategy/analysis Explore: docs/workflows/BUSINESS-SALES-WORKFLOWS.md For Researchers Start with: claude-research-agent or competitive-market-analyst Try: web-search-researcher for current information Explore: docs/workflows/RESEARCH-INTELLIGENCE-WORKFLOWS.md For Educators Start with: ai-curriculum-specialist for course design Try: assessment-creation-agent for quizzes/evaluations Explore: docs/workflows/EDUCATION-HEALTHCARE-WORKFLOWS.md For Developers Start with: orchestrator for complex projects Try: debugger, code-reviewer, devops-engineer for specific tasks Explore: docs/workflows/50-ESSENTIAL-WORKFLOWS.md

CODITECT exposes 15 capability domains that combine specialized agents plus ~750+ workflows to cover both deep software engineering and broad business/operations use cases.³⁴

Capability Domains (1–6)

Software Development & Engineering
- Agents: orchestrator, debugger, code-reviewer, security-specialist, devops-engineer, database-architect, cloud-architect, frontend-react-typescript-expert, rust-expert-developer, 40+ more.³⁴
- Workflows: 100+ for full lifecycle (feature dev, testing, deployment, docs).³⁴
- Typical tasks: full-stack features, API design, schema design/tuning, CI/CD pipelines, security audits, perf optimization, code review.³⁴
- Example call: Task(subagent_type="orchestrator", prompt="Coordinate complete feature development...").³⁴
Business Strategy & Planning
- Agents: business-intelligence-analyst, venture-capital-business-analyst, competitive-market-analyst, business-analytics.³⁴
- Workflows: 100+ for planning, TAM/SAM/SOM, financial models, unit economics, GTM, pricing, investment readiness, pitch decks.³⁴
- Example: subagent_type="business-intelligence-analyst" for full business plan and GTM.³⁴
Research & Intelligence
- Agents: claude-research-agent, web-search-researcher, biographical-researcher, competitive-market-analyst.³⁴
- Workflows: 50+ for web/market/academic research, IP scans, industry and tech assessment, persona research.³⁴
- Example: competitive-market-analyst performing AI-first IDE market scan and comparison matrix.³⁴
Education & Training
- Agents: ai-curriculum-specialist, assessment-creation-agent, educational-content-generator.³⁴
- Workflows: 50+ for curricula, learning paths, assessments, training materials, certification, skill-gap analysis.³⁴
- Example: 8‑week ML bootcamp curriculum with objectives, projects, assessments, and time estimates.³⁴
Content & Marketing
- Agents: content-marketing, codi-documentation-writer, educational-content-generator.³⁴
- Workflows: 50+ for content strategy, SEO, social/email campaigns, technical docs, KBs, scripts.³⁴
- Example: 90‑day SaaS content marketing strategy with topics, calendar, SEO, channels, and conversion goals.³⁴
Finance & Investment
- Agents: venture-capital-business-analyst, business-intelligence-analyst.³⁴
- Workflows: 50+ for modeling, investment analysis, diligence, portfolio and risk, valuations, cap table, fundraising strategy.³⁴
- Example: Series A due diligence with recommendation.³⁴

Capability Domains (7–15)

HR & People Operations
- Workflows: 50+ in HR-LEGAL-FINANCE-WORKFLOWS.md.³⁴
- Use cases: hiring pipelines, JDs, interview loops, onboarding, performance systems, handbooks, compensation, org design.³⁴
- Example: orchestrator designing end‑to‑end hiring pipeline for senior engineers.³⁴
Legal & Compliance
- Workflows: 50+ across HR-LEGAL-FINANCE-WORKFLOWS.md and LEGAL-SERVICES-INDUSTRY-WORKFLOWS.md.³⁴
- Use cases: contract prep, compliance checklists, policies, ToS/PP, regulatory research, risk frameworks, audit prep.³⁴
- Example: orchestrator creating GDPR checklist for a SaaS app.³⁴
Healthcare
- Workflows: 50+ in HEALTHCARE-INDUSTRY-WORKFLOWS.md and EDUCATION-HEALTHCARE-WORKFLOWS.md.³⁴
- Use cases: patient flows, clinical docs, compliance, medical education, research protocols, quality improvement, analytics, patient education.³⁴
Real Estate
- Workflows: 50+ in WORKFLOW-DEFINITIONS-REAL-ESTATE-EVENTS-TRAVEL.md.³⁴
- Use cases: property and market analysis, investment, listings, client management, transaction coordination, due diligence, portfolio management.³⁴
Manufacturing & Operations
- Workflows: 50+ in MANUFACTURING-AGRICULTURE-WORKFLOWS.md and OPERATIONS-PROCESS-WORKFLOWS.md.³⁴
- Use cases: process and quality, supply chain, inventory, production planning, vendor/procurement workflows, ops metrics.³⁴
Retail & E‑commerce
- Workflows: 50+ in RETAIL-ECOMMERCE-INDUSTRY-WORKFLOWS.md.³⁴
- Use cases: catalog and pricing, segmentation, inventory, sales analysis, journeys, conversion and loyalty programs.³⁴
Financial Services
- Workflows: 50+ in FINANCIAL-SERVICES-INDUSTRY-WORKFLOWS.md.³⁴
- Use cases: risk, compliance automation, reporting, portfolios, trading strategy, regulatory reporting, onboarding, diligence.³⁴
Creative & Freelance
- Workflows: 50+ in CREATIVE-PROFESSIONAL-FREELANCE-WORKFLOWS.md and PRODUCT-CREATIVE-WORKFLOWS.md.³⁴
- Use cases: client and project management, scoping, proposals, contracts, portfolio, pricing, briefs, deliverables.³⁴
Personal & Lifestyle
- Workflows: 50+ in WORKFLOWS-PERSONAL-LIFESTYLE.md.³⁴
- Use cases: personal productivity, goals, learning, health, finances, travel, home, life admin.³⁴

Access Patterns & Libraries

Discover agents: /which <task> to route to the right agent, e.g. /which build a business plan → business-intelligence-analyst.³⁴
Direct invocation: /agent business-intelligence-analyst "Create market analysis for [market]", etc.³⁴
Browse workflows: ls docs/workflows/ plus domain files like BUSINESS-SALES-WORKFLOWS.md, RESEARCH-INTELLIGENCE-WORKFLOWS.md, 50-ESSENTIAL-WORKFLOWS.md, etc.³⁴
Search knowledge base: /cxq "agent for market research" or /cxq "workflow for hiring".³⁴

Workflow Library Summary

Domain group	Workflows	Index file name
Essential Development	50	`50-ESSENTIAL-WORKFLOWS.md`
AI/ML & Data	50	`WORKFLOW-DEFINITIONS-AI-ML-DATA.md`
Business & Sales	50	`BUSINESS-SALES-WORKFLOWS.md`
Business Operations	50	`BUSINESS-OPERATIONS-WORKFLOWS.md`
Operations & Process	50	`OPERATIONS-PROCESS-WORKFLOWS.md`
HR, Legal, Finance	50	`HR-LEGAL-FINANCE-WORKFLOWS.md`
Creative & Freelance	50	`CREATIVE-PROFESSIONAL-FREELANCE-WORKFLOWS.md`
Product & Creative	50	`PRODUCT-CREATIVE-WORKFLOWS.md`
Research & Intelligence	50	`RESEARCH-INTELLIGENCE-WORKFLOWS.md`
Investment & Trading	50	`INVESTMENT-TRADING-CRYPTO-WORKFLOWS.md`
Education & Healthcare	50	`EDUCATION-HEALTHCARE-WORKFLOWS.md`
Real Estate, Events, Travel	50	`WORKFLOW-DEFINITIONS-REAL-ESTATE-EVENTS-TRAVEL.md`
Manufacturing & Agriculture	50	`MANUFACTURING-AGRICULTURE-WORKFLOWS.md`
Retail & E‑commerce	50	`RETAIL-ECOMMERCE-INDUSTRY-WORKFLOWS.md`
Personal & Lifestyle	50	`WORKFLOWS-PERSONAL-LIFESTYLE.md`

Total: ~750+ workflows across the 15 domains.³⁴

If you want a promptable abstraction, next I can compress this into a “Domain Capability Router” spec that you can paste into an agent to choose the right domain/agent/workflow given an arbitrary business or engineering task.

⁂

Transform Ideas into Executable Workflows

AgentFlow uses AI-powered agents to analyze your workflow descriptions, generate diagrams, and create automated processes in N8N - all from natural language. Get StartedView Demo How It Works Describe Your Workflow Simply describe your workflow in natural language. No technical knowledge required. AI Analyzes & Decomposes Multi-agent system analyzes your workflow, breaks it into tasks, and identifies dependencies. Generate Diagrams Automatically create flowcharts and Gantt charts to visualize your workflow. Deploy to N8N Translate to N8N format and deploy your workflow for automated execution. Why AgentFlow? No Code Required Describe workflows in plain English - our AI handles the rest Real-time Updates Watch your workflow being analyzed and built in real-time Multi-Agent Intelligence Powered by DSPy and LangChain for accurate workflow analysis N8N Integration Deploy to N8N with 400+ integrations at your fingertips Ready to Automate Your Workflows? Join AgentFlow today and transform the way you build automated workflows. Get started in minutes, no credit card required. Start Building Workflows

AgentFlow is positioned as a natural‑language → executable N8N workflow generator using a multi‑agent LLM stack (DSPy + LangChain), and it overlaps heavily with CODITECT’s workflow domain but at a different layer.³⁵³⁶³⁷³⁸

What AgentFlow Does

Converts natural language descriptions of workflows into:
- Decomposed task graphs with dependencies.
- Visual artifacts (flowcharts, Gantt charts).
- N8N-native workflow JSON that can be deployed directly.³⁶³⁷³⁸
Core promise: “no code required” prompt → workflow on the n8n canvas, with AI agents planning the architecture and wiring nodes using N8N’s AI builder / agent nodes.³⁹³⁸³⁶
Uses multi-agent reasoning built on LangChain/DSPy and N8N’s AI agent nodes to analyze inputs, pick tools, and generate workflow structures.⁴⁰⁴¹³⁸³⁵

Relationship to CODITECT

CODITECT already defines ~750+ workflows across 15 domains (dev, business, research, finance, healthcare, etc.) as reusable patterns and N8N‑compatible definitions.⁴²
AgentFlow‑style capability is essentially:
- A front‑end UX and orchestration layer that:
  - Parses user workflow descriptions.
  - Selects or composes from CODITECT’s workflow library.
  - Emits N8N JSON and optionally deploys via N8N REST API.³⁷⁴²³⁵
Strategically: CODITECT can treat AgentFlow‑like functionality as:
- A workflow synthesis engine sitting over its workflow library.
- A “prompt → workflow” surface that integrates with CODITECT’s agents (orchestrator, business-intelligence-analyst, etc.) to do the planning and decomposition.⁴²³⁵³⁷

Strategic Fit / Differentiation

N8N and others already ship AI workflow builders and AI agent nodes that allow prompt → workflow; they are generic and not domain‑rich.³⁸³⁵³⁶³⁷
CODITECT’s advantages over a pure AgentFlow clone:
- Deep, domain-specific workflow inventory (15 capability domains, 750+ patterns) rather than only structural generation.⁴²
- Strong governance (task IDs, ADRs, attribution, PII levels) and multi‑LLM orchestration, which generic N8N AI builders do not focus on.³⁵⁴⁰⁴²
- Tight coupling with software‑engineering agents (orchestrator, devops-engineer, security-specialist, database-architect, etc.) so it can generate both application code and the automation around it.³⁵⁴²

Suggested Prompt You Can Paste (CODITECT + “AgentFlow”)

You can drop this as a task to a CODITECT orchestrator agent to design an internal AgentFlow module on top of your existing library:

Design an “AgentFlow” capability on top of CODITECT that converts natural-language workflow descriptions into executable N8N workflows using the existing 15 domain libraries and ~750+ workflow definitions. Requirements:

Map user descriptions to: (a) one or more workflow templates from docs/workflows/*.md, (b) missing steps that must be synthesized.

Use CODITECT agents (orchestrator, business-intelligence-analyst, devops-engineer, etc.) to:

Decompose the workflow into tasks and dependencies.

Select appropriate N8N nodes and integrations.

Generate both a visual description (mermaid) and N8N workflow JSON.

Implement a CLI and API: agentflow plan, agentflow diagram, agentflow n8n-deploy.

Integrate with CODITECT’s MEMORY-CONTEXT system for:

Reusing prior workflow components.

Logging task IDs, LLM attribution, and PII levels.

Explicitly compare this design to N8N’s own AI Workflow Builder and AI Agent nodes, and justify how CODITECT’s domain-specific workflows and governance provide a stronger enterprise moat. ⁴³⁴⁴⁴⁵⁴⁶⁴⁷⁴⁸⁴⁹⁵⁰

⁂

How to get started with AgentFlow tutorial

Here’s a minimal, concrete “getting started with AgentFlow” tutorial tailored to CODITECT.

1. Concept: AgentFlow on top of CODITECT

AgentFlow = CODITECT module that takes a natural‑language workflow description and produces:

A decomposed task graph (steps, dependencies).⁵¹
A visual spec (Mermaid flowchart, optional Gantt).⁵¹
An executable N8N workflow JSON, wired to existing integrations.⁵¹

It should reuse:

CODITECT orchestrator and domain agents (business-intelligence-analyst, competitive-market-analyst, devops-engineer, etc.).⁵¹
Existing 750+ domain workflows in docs/workflows/*.md and workflows/**/*.yaml.⁵¹

2. Minimal Architecture

Components:

commands/agentflow-plan.md – parse & decompose workflow from NL.
commands/agentflow-diagram.md – generate Mermaid diagrams.
commands/agentflow-n8n-deploy.md – emit + POST N8N JSON.
scripts/agentflow/plan.py – planning + task graph builder.
scripts/agentflow/n8n_generate.py – template → N8N nodes.
scripts/agentflow/n8n_deploy.py – REST client to N8N instance.
workflows/agentflow/*.yaml – a few canonical patterns.

All of this plugs into existing CODITECT structure and command lifecycle.⁵¹

3. Step‑by‑Step Tutorial

Step 1 – Create the AgentFlow planning command

Create commands/agentflow-plan.md with frontmatter:

---
title: AgentFlow Plan
component_type: command
version: 1.0.0
status: draft
invocation: /agentflow-plan "<workflow_description>"
tags: [agentflow, workflow, planning, n8n]
summary: Analyze natural language workflow descriptions and produce a structured task graph with dependencies.
requires_confirmation: false
---

In the body, define behavior:

Call the orchestrator agent when invoked.
Use /which + /cxq to locate relevant domain workflows and agents.
Output a JSON task graph:

{
  "title": "User authentication workflow",
  "tasks": [
    {"id": "T1", "name": "Capture requirements", "depends_on": []},
    {"id": "T2", "name": "Design data model", "depends_on": ["T1"]},
    {"id": "T3", "name": "Implement backend endpoints", "depends_on": ["T2"]},
    {"id": "T4", "name": "Integrate with N8N triggers/actions", "depends_on": ["T3"]},
    {"id": "T5", "name": "Write tests", "depends_on": ["T3"]},
    {"id": "T6", "name": "Deploy to staging", "depends_on": ["T4", "T5"]}
  ]
}

Run:

/classify commands/agentflow-plan.md
/component-lifecycle activate command agentflow-plan

Step 2 – Implement the planner script

Create scripts/agentflow/plan.py:

#!/usr/bin/env python3
"""AgentFlow planner: NL workflow -> task graph."""

from __future__ import annotations
from typing import List, Dict, Any

def plan_workflow(description: str) -> Dict[str, Any]:
    # 1) Ask orchestrator + domain agents for decomposition via LLM.
    # 2) Map to existing CODITECT workflow templates when possible.
    # 3) Return normalized graph.
    raise NotImplementedError("Wire this to CODITECT LLM orchestration.")

Tie this script to the command via scripts: section in agentflow-plan.md (if you use that pattern) or via an internal ADR.⁵¹

Step 3 – Add diagram generation

Create commands/agentflow-diagram.md:

Input: task graph JSON.
Output: Mermaid flowchart + optional Gantt.

Example Mermaid:

Usage:

/agentflow-plan "Automate lead capture from website form to CRM with email follow-up"
/agentflow-diagram "<paste task graph JSON>"

Step 4 – Generate N8N workflows

Create commands/agentflow-n8n-deploy.md:

Inputs: task graph JSON + N8N base URL and API key (from secure config).⁵¹
Behavior:
- Map tasks to N8N node templates (HTTP trigger, webhook, CRM node, email node, function nodes).
- POST the assembled JSON to N8N’s /workflows API.

Pseudo:

/agentflow-n8n-deploy "<task_graph_json>" --n8n-url https://n8n.example.com --credentials-id SALES_PIPELINE

Step 5 – Wire to CODITECT workflows

For each domain:

Use /cxq to find relevant templates, e.g.:

/cxq "workflow for CRM lead capture"
/cxq "workflow for onboarding email sequence"

In scripts/agentflow/n8n_generate.py, implement a mapping layer:
- If the graph step matches a known template (from docs/workflows/BUSINESS-SALES-WORKFLOWS.md or workflows/**/*.yaml), reuse it.
- Otherwise, synthesize a new node pattern and store it as a new workflow for later reuse (following CODITECT component creation workflow).⁵¹

Step 6 – Enforce CODITECT governance

For every AgentFlow command invocation:

Include a Task ID in description: B.4.1.2: AgentFlow plan for lead capture automation.⁵¹
Log session with /session-log including:
- LLM identifier (Claude Code, Codex, Gemini, Kimi).⁵¹
- PII level and redactions (especially for sales/CRM workflows).⁵¹

4. Minimal “Hello World” Tutorial Script

Here’s a single prompt you can paste into CODITECT (e.g., to the orchestrator agent) to build a first AgentFlow “hello world”:

Implement a minimal AgentFlow prototype in CODITECT that:

Adds /agentflow-plan, /agentflow-diagram, and /agentflow-n8n-deploy commands;

Uses the orchestrator and appropriate domain agents to decompose a natural-language workflow description into a task graph;

Generates a Mermaid flowchart from the graph;

Maps the graph to an N8N workflow JSON using existing patterns from docs/workflows/*.md and workflows/**/*.yaml;

Deploys the workflow to an N8N instance via REST;

Follows CODITECT conventions for component frontmatter, task IDs, security, and session logging.

This gives you a concrete “getting started” path while staying fully inside CODITECT’s standards and architecture.⁵¹

⁂

financial model saas with enterprise value based pricing

A SaaS financial model with enterprise value‑based pricing ties revenue to quantified business outcomes (time saved, costs reduced, revenue lifted) rather than seats or flat tiers.⁵²⁵³⁵⁴⁵⁵

1. Define the Value Metric

Pick 1–2 metrics that best approximate economic value for your product.⁵³⁵⁴⁵²

Examples:
- Developer‑hours saved per month.
- Incremental revenue enabled (e.g., leads, conversions).
- Incidents avoided / risk reduction.
- Volume metrics: workflows executed, API calls, documents processed.⁵⁴⁵⁵⁵³
Use customer interviews + historical data to validate that these metrics correlate with perceived value and willingness‑to‑pay.⁵⁶⁵⁷⁵²

2. Build an Economic Value Model (EVE‑style)

Construct a simple Economic Value Estimation (EVE) model: quantify customer P&L impact and back into a pricing envelope.⁵⁸⁵⁷

For a typical customer segment, model:
- Baseline: current cost / lost opportunity without your product.
- With-product: improved metrics (time, revenue, risk).
- Net annual economic benefit = savings + added margin – switching/implementation cost.⁵⁸
Choose a “share of value” you will capture (e.g., 10–30% of annual economic benefit) as the target contract value.⁵⁷⁵⁸

Example (developer productivity tool):

50 devs, fully loaded cost 150k, 20% time on repetitive tasks.
You reduce that by 25% → 50 × 150k × 0.20 × 0.25 ≈ 375k of annual savings.
Capture 20% → target ACV ≈ 75k, then design pricing metrics that roughly land there for that segment.⁵³⁵⁸

3. Translate Value into Pricing Structure

Combine platform fee + value metric for enterprise.⁵⁹⁵⁵⁵⁴

Structure:
- Base platform subscription (covers core features, support, SLAs).
- Variable / usage component tied to value metric (e.g., workflows executed, successful outcomes, processed items).⁵⁵⁵⁴⁵⁹
Ensure:
- The variable metric grows as value grows.
- There are guardrails: floors (minimums) and ceilings (committed usage tiers or caps).⁶⁰⁵⁹⁵³

For an AI/agentic platform:

Base: 2–3 plans (Growth, Pro, Enterprise) anchored to organization size and governance/SLA level.
Value metric candidates:
- Number of automated workflows in production.
- Number of “value events” (e.g., successful workflow runs, incidents auto‑resolved, hours saved above threshold).
- Volume of “units of work” (e.g., tasks orchestrated, documents processed, code changes auto‑applied).⁵⁴⁵⁵⁵⁷

4. SaaS Financial Model Skeleton

Implement in a spreadsheet or db:

Inputs (per segment)

Customer count by segment (SMB, mid‑market, enterprise).
Adoption/penetration rates per year.
Average baseline metrics (users, volume, economic value).
Chosen value metrics and coefficients (e.g., $ per workflow run, $ per outcome).⁵⁵⁵³⁵⁸

Revenue

For each cohort and year:

Base ARR = customer_count × base_price_segment.
Variable ARR = Σ(value_metric_units × price_per_unit).⁵⁹⁵⁴⁵⁵
Total ARR = base + variable; then apply:
- New logo growth.
- Expansion (upsell based on higher value metrics).
- Churn / downgrade assumptions.⁶¹⁶²⁵⁷⁵⁵

Costs

COGS: infra, LLM/API costs (often tied to same value metrics), support, onboarding.⁶¹⁶⁰
S&M: % of revenue or per‑rep model.
R&D and G&A: headcount‑based, with planned growth.

Compute:

Gross margin, operating margin, cash burn, runway.
LTV/CAC and payback by segment.⁵⁷⁶¹⁵⁵

5. Calibration & Iteration

Implement a value‑based pricing process, not a one‑off exercise.⁵⁸⁶¹⁵⁷

Run structured pricing interviews and WTP surveys with target customers.⁵²⁵⁶⁵⁷
Use early contracts as experiments:
- A/B different metric mixes or value shares across segments.
- Track realized value vs. price and adjust multipliers and thresholds over 3–6 months.⁵⁷
Embed telemetry: instrument your product to measure the value drivers and feed them into billing / pricing analytics.⁶¹⁵⁷

6. Prompt You Can Reuse (for a detailed model)

You can feed this to a modeling agent:

“Build a 5‑year SaaS financial model for an enterprise AI/agentic platform using value‑based pricing. Use a hybrid of base platform fee plus a variable metric tied to economic value (e.g., workflows executed and hours saved). Include segment‑level assumptions (SMB, mid‑market, enterprise), EVE‑style value modeling per segment, revenue build (new, expansion, churn), unit economics (LTV, CAC, payback), and sensitivity tables for different value‑capture percentages and price per outcome.” ⁶³⁶⁴⁶⁵⁶⁶⁶⁷

⁂

excel template for SaaS value based pricing model

EVE model example for enterprise SaaS pros and cons of value based vs usage based pricing how to calculate willingness to pay in value pricing case studies of SaaS companies using value based pricing

Here's a comprehensive response covering all five queries with actionable resources and frameworks.

1. Excel Templates for SaaS Value-Based Pricing

Free Templates Available

DiscoveringSaaS Value-Based Pricing Template⁶⁸

Free Excel/PDF template specifically for value-based pricing
Includes Marketing ROI plan calculator
Formula: Estimated Additional Revenue / Month → Our Price / Month
Strategic framework for proving and communicating ROI
Download: https://discoveringsaas.com/templates-and-checklists/saas-pricing-template/

SaaS Pricing Model Template (Excel)⁶⁹

6 predefined templates for pricing strategies
Dynamic pricing adjustments based on selected options
Features: subscription metrics tracking, financial reports, visualizations
Includes monthly, quarterly, and annual subscription modeling

The VC Corner SaaS Financial Model⁷⁰

Battle-tested template used by founders to raise millions
Built for pre-seed to Series B startups
Comprehensive runway forecasting and unit economics

The SaaS CFO Financial Model Template⁷¹

Industry-standard SaaS financial blueprint
Includes cohort analysis, churn modeling, and revenue projections
Download available at: https://www.thesaascfo.com/saas-financial-model-excel/

eFinancialModels SaaS Template⁷²

4 pricing tiers (Basic, Pro, Premium, Platinum)
2 payment plans (monthly/yearly)
Calculates key metrics: required funding, IRR, CAC, LTV
Year-over-year operational improvement assumptions

Chargebee SaaS Financial Model Template⁷³

Plug-and-play Excel template
Designed for subscription business modeling

2. EVE Model Example for Enterprise SaaS

Economic Value Estimation (EVE) Framework⁷⁴⁷¹

The EVE model (developed by Tom Nagle in The Strategy and Tactics of Pricing) is a system of equations defining how a solution improves customer P&L.⁷⁴

EVE Model Structure:

Total Economic Value = Reference Value + Differentiation Value

Where:
- Reference Value = Next best alternative cost
- Differentiation Value = Positive value drivers - Negative value drivers

Enterprise SaaS EVE Example:⁷⁵⁷⁴

Scenario: Marketing automation platform for mid-market B2B companies

Component	Calculation	Annual Value
Reference Value (current solution cost)	Competitor platform + manual labor	$50,000
Positive Value Drivers:
Increased productivity	500 hrs saved × $100/hr	+$50,000
Reduced IT costs	Infrastructure reduction	+$30,000
Enhanced security	Risk mitigation value	+$20,000
Lead conversion improvement	5% lift × $1M pipeline × 3% close rate	+$15,000
Total Positive Value		+$115,000
Negative Value Drivers:
Implementation cost	One-time migration	-$10,000
Training time	40 hrs × $100/hr	-$4,000
Net Differentiation Value		+$101,000
Total Economic Value	$50,000 + $101,000	$151,000
Target Pricing (20-30% value capture)		$30,000-$45,000 ACV

Three Approaches to Value-Based Pricing:⁷⁴

Approximate VBP - Use industry benchmarks and comparable pricing
Derived VBP - Calculate from customer outcomes and metrics
Direct VBP - Customize pricing per customer through collaborative value discovery

3. Pros and Cons: Value-Based vs. Usage-Based Pricing

Value-Based Pricing

Pros:⁷⁶⁷⁷⁷⁸⁷⁹⁸⁰

✅ Maximizes revenue potential by capturing fair share of value created
✅ Aligns price with customer success and ROI
✅ Justifies premium pricing through quantified outcomes
✅ Strengthens customer relationships through value conversations
✅ Creates differentiation from cost-plus competitors
✅ Supports higher margins (38-45% for companies like Apple)⁸¹
✅ Reduces price sensitivity when value is clearly communicated
✅ Enables strategic customer segmentation

Cons:⁸²⁷⁸⁷⁹⁸⁰

❌ Requires deep customer understanding and ongoing research
❌ Complex to implement and communicate
❌ Needs strong proof and ROI documentation
❌ Difficult to standardize across diverse customer segments
❌ Requires sales team training on value selling
❌ May face resistance without clear value metrics
❌ Challenging to measure intangible benefits

Usage-Based Pricing

Pros:⁸³⁸⁴

✅ Scales naturally with customer growth
✅ Lower barrier to entry (pay as you grow)
✅ Aligns cost with actual consumption
✅ Easy to understand and predict
✅ Automatic expansion revenue
✅ Fair for varying usage patterns

Cons:⁸⁴⁸³

❌ Revenue unpredictability for the vendor
❌ May discourage product usage (consumption fear)
❌ Complex billing and metering infrastructure required
❌ Difficult for customers to budget
❌ Can lead to bill shock
❌ Leaves money on table for high-value, low-usage scenarios

Hybrid Recommendation

Best practice for enterprise SaaS:⁷⁹⁸²⁸³

Base platform fee (predictable revenue) + value/usage metric (expansion)
Example: $2k/month platform + $50 per successful workflow execution
Provides stability while capturing value growth

4. How to Calculate Willingness to Pay (WTP) in Value Pricing

Quantitative Techniques⁸⁵⁸⁶⁸²

1. Van Westendorp Price Sensitivity Meter⁸²

Survey questions:
- "At what price would this be too expensive?"
- "At what price would this be expensive but worth considering?"
- "At what price would this be a bargain?"
- "At what price would this be too cheap (suspicious quality)?"
Identifies acceptable price range from intersection points

2. Gabor-Granger Analysis⁸²

Tests likelihood of purchase at specific price points
Maps demand curves: "Would you buy at $X?" (Yes/No)
Repeat at various prices to find optimal point

3. Conjoint Analysis⁸²

Evaluates trade-offs between features and price
Presents packages: Feature set A at $X vs. Feature set B at $Y
Reveals hidden preferences and feature value attribution

4. Economic Value Model (Quantified)⁷⁵⁷⁴

Calculate total economic value (see EVE model above)
Survey value ratio tolerance: "What % of savings is fair pricing?"
Typical enterprise SaaS: 15-30% of annual economic benefit

Qualitative Validation⁸⁵⁸²

Customer Interviews:

"What outcomes matter most to your business?"
"How do you measure success with solutions like ours?"
"What would justify a premium over alternatives?"

Segmentation Research:⁸⁵

Different segments have different WTP
Segment by: industry, company size, use case intensity, maturity
Tailor pricing and packaging to each segment's value perception

WTP Calculation Framework⁸²

Step 1: Understand value perception (surveys, interviews)
Step 2: Segment market by value drivers
Step 3: Quantify outcomes per segment (EVE model)
Step 4: Validate WTP range (Van Westendorp, conjoint)
Step 5: Set price within validated range
  - High Anchor: Maximum validated WTP
  - Floor Price: Minimum for margin/cost coverage
  - Competitor Reference: Market context
Step 6: Test with pricing experiments (A/B tests)
Step 7: Iterate based on conversion and retention data

Key Insight:⁸⁶ WTP is actively shaped by how you communicate and deliver value—not just discovered. Companies that articulate value clearly can increase WTP over time.

5. Case Studies: SaaS Companies Using Value-Based Pricing

HubSpot⁷⁶⁸¹

Strategy: Tiered value-based pricing (Free CRM → Marketing/Sales/Service Hubs)
Execution: Plans tailored to customer needs and budgets, feature sets aligned with value drivers
Results: Exponential growth, wide range of users from SMB to enterprise
Key: Understanding value customers derive from features enables precise tier creation

Salesforce⁸¹⁷⁶

Strategy: Tiered SaaS pricing with feature upgrades tied to business outcomes
Execution:
- Multi-year contracts with price protection
- Clear upgrade paths supporting business growth
- Trailhead training platform for value realization
- AppExchange third-party integrations
Results:
- $31.35B revenue (2023)
- 20%+ annual recurring revenue growth
- Premium pricing justified by measurable business outcomes
- Strong customer retention through value alignment

Zendesk⁷⁶

Strategy: Plans tailored to customer size and complexity (Essential → Enterprise)
Execution: Aligned pricing with value delivered to different segments
Results: Effective scaling, high customer satisfaction
Key: Segment-specific value propositions

Wistia⁷⁶

Strategy: Value-based plans focused on user needs (Pro plan with advanced analytics)
Execution: Customer-centric approach, features tied to business outcomes
Results: Transformed growth trajectory, improved retention
Key: Deep understanding of customer needs drove plan design

Apple (Non-SaaS but Instructive)⁸¹

Strategy: Ecosystem value pricing
Results: 38-45% profit margins
Key: Value perception from integrated experience justifies premium

Starbucks (Non-SaaS but Instructive)⁸¹

Strategy: Premium pricing for experience value (cozy stores, personalization)
Key: Intangible value (ambiance, customization) commands higher prices

Actionable Next Steps

For CODITECT specifically:

Build EVE model for 3 customer segments (SMB, mid-market, enterprise)
- Quantify: developer hours saved, context switching reduction, governance value, multi-LLM cost savings
- Target 20-30% value capture
Run WTP validation
- Van Westendorp survey with 30-50 prospects
- Conjoint analysis: features vs. price trade-offs
Design hybrid pricing
- Base: $500-$2k/month (platform, governance, support)
- Variable: $0.10-$0.50 per workflow execution or $50-$200 per "value event" (hours saved threshold)
Use templates:
- Download DiscoveringSaaS or The SaaS CFO template
- Customize with CODITECT metrics and value drivers
Document case studies:
- Early customers: measure actual value delivered
- Publish ROI stories to support value conversations

Would you like me to build a specific EVE model for CODITECT or create a WTP survey template? ⁸⁷⁸⁸

⁂

CODITECT saves money llm agnostic no vendor lockin for tokens hosting expand and explain works with CLAUDE, CODEX, GEMINI, KIMI-2.5, best of both closed and open-source LLM models and local AI Workstations

CODITECT is explicitly designed to be LLM‑agnostic, reduce token spend, and avoid vendor lock‑in by sitting above providers (Claude, Codex, Gemini, KIMI, local models) and centralizing memory, workflows, and orchestration.⁸⁹⁹⁰⁹¹⁹²

LLM-Agnostic Architecture (No Vendor Lock-In)

CODITECT defines a Unified LLM Component Architecture (ADR‑122) that standardizes how agents, skills, workflows, and memory interact with different LLMs.⁸⁹
It supports multiple providers out of the box: Anthropic (Claude), OpenAI/Codex, Google Gemini, Moonshot/KIMI, and HuggingFace models.⁸⁹
Multi‑LLM session storage lives under provider-specific paths but uses a common format (JSONL), enabling cross-LLM export and processing without changing project structure.⁸⁹
This design matches modern LLM‑agnostic patterns where application logic is decoupled from the underlying model and can switch providers or run multiple models concurrently.⁹⁰⁹¹⁹²

Supported Providers (Out of the Box)

Closed-source & hosted: Claude (Anthropic), GPT‑4o / o‑series (OpenAI/Codex), Gemini (Google), KIMI (Moonshot).⁸⁹
Open-source & hosted/local: via HuggingFace Hub and any OpenAI-compatible or Anthropic-compatible API your infra exposes.⁹³⁹⁴⁸⁹

Token Economics & Cost Savings

CODITECT’s CODITECT Experience Framework (CEF) uses a track/skill matrix to load only relevant skills per task, cutting context from ~30k tokens to ~960 tokens for typical tracks (≈90–97% reduction).⁸⁹
Memory-Context system with SHA‑256 deduplication prevents re‑sending identical content across sessions and LLMs.⁸⁹
Multi‑LLM session exports (/sx) and context extraction (/cx) let you reuse prior work regardless of which LLM produced it, avoiding repeated “explain the system” prompts and reducing token waste.⁸⁹
This LLM‑agnostic, context‑efficient design matches best practices for cost control in multi‑agent / multi‑LLM systems.⁹¹⁹²⁹⁰

“Best of Both Worlds”: Closed & Open-Source Models

CODITECT abstracts skills, workflows, and agents away from specific models, allowing you to route tasks to:
- Closed models (Claude, GPT‑4o, Gemini, KIMI‑2.5) when you need highest capability or best coding performance.
- Open-source or local models when you want lower cost, privacy, or offline capability.⁹⁵⁹⁶⁹⁷⁹³⁸⁹
The Cross‑LLM Bridge translates semantic commands into provider‑agnostic operations so you can switch models without changing the way you ask for work.⁸⁹
Similar to other LLM‑agnostic dev tools, this lets you choose the right model per task (e.g., reasoning vs. code vs. retrieval) and evolve providers over time without rewriting your automation layer.⁹²⁹⁰⁹¹

Local AI Workstations & Self-Hosting

CODITECT’s architecture anticipates local AI workstations and self-hosted models:
- Message bus and tools layer can point to local inference endpoints (e.g., Ollama, LM Studio, text-generation-webui), as long as they expose compatible APIs.⁹⁶⁹⁷⁹⁵⁸⁹
- The .coditect directory and four‑tier SQLite storage live on the developer’s machine by default, making it natural to integrate with on-device models and offline workflows.⁸⁹
This aligns with the broader trend where local LLM tools (Ollama, LM Studio, GPT4All, Jan, etc.) expose OpenAI‑style APIs and are used as drop‑in providers under an LLM‑agnostic architecture.⁹⁷⁹⁵⁹⁶

Positioning Sentence You Can Reuse

You can drop this into a deck or website:

CODITECT is an LLM‑agnostic, vendor‑neutral intelligence layer that orchestrates agents, workflows, and memory across Claude, Codex, Gemini, KIMI‑2.5, open‑source, and local models—cutting token costs by up to ~90% through track‑based context loading and deduplicated memory, while eliminating vendor lock‑in for both tokens and hosting.⁹⁰⁹¹⁹²⁸⁹ ⁹⁸⁹⁹¹⁰⁰¹⁰¹¹⁰²¹⁰³¹⁰⁴

⁂

FOUNDER:

MATIAS van VLIET VC Lab · Part-timeVC Lab · Part-timeJul 2025 - Present · 7 mosJul 2025 to Present · 7 mosPalo Alto, California, United States · RemotePalo Alto, California, United States · RemoteVenture Institute Fellow | Cohort 5Venture Institute Fellow | Cohort 5 A venture capital training program designed to train and educate the rising tide of new venture capital leaders. The venture institute program consists of two months of focused training, plus an additional two months of practical on-the-job experience, which aims to enrich the knowledge base of venture professionals reserved for the top performers of each cohort.A venture capital training program designed to train and educate the rising tide of new venture capital leaders. The venture institute program consists of two months of focused training, plus an additional two months of practical on-the-job experience, which aims to enrich the knowledge base of venture professionals reserved for the top performers of each cohort. COO/CMO Coditect.ai · Full-timeCoditect.ai · Full-timeJun 2025 - Present · 8 mosJun 2025 to Present · 8 mosWinter Park, Florida, United States · HybridWinter Park, Florida, United States · HybridCOO/CMOCOO/CMO Sustainability Consultant Self-employedSelf-employedNov 2024 - Present · 1 yr 3 mosNov 2024 to Present · 1 yr 3 mosSustainability ConsultantSustainability Consultant Implementing a system to track total plastic displaced by a compostable packaging company Developing a quotation tool for clients to estimate plastic savings per order Updating plastic displacement tied to sales to showcase environmental impactImplementing a system to track total plastic displaced by a compostable packaging company Developing a quotation tool for clients to estimate plastic savings per order Updating plastic displacement tied to sales to showcase environmental impact Pilot Lead/Program Manager Regeneret · Full-timeRegeneret · Full-timeAug 2023 - Dec 2023 · 5 mosAug 2023 to Dec 2023 · 5 mosKigali, Kigali City, Rwanda · On-siteKigali, Kigali City, Rwanda · On-sitePilot Lead/Program ManagerPilot Lead/Program Manager Analyzed the impact of transitioning to regenerative agriculture for 19,000+ smallholder farmers across 34,000+ hectares of land in Rwanda and Ghana Conducted field interviews for idea validation and insight gathering on barriers to adoption Supported fundraising initiativesAnalyzed the impact of transitioning to regenerative agriculture for 19,000+ smallholder farmers across 34,000+ hectares of land in Rwanda and Ghana Conducted field interviews for idea validation and insight gathering on barriers to adoption Supported fundraising initiatives Triodos Investment Management · InternshipTriodos Investment Management · InternshipJan 2023 - Jul 2023 · 7 mosJan 2023 to Jul 2023 · 7 mosZeist, Utrecht, NetherlandsZeist, Utrecht, NetherlandsIntern Investment ManagementIntern Investment Management Supported the Triodos Food Transition Europe Fund on its daily activities Conducted due diligence and market research for potential investments Measured the Scopes 1, 2 and 3 emissions of the portfolio companies Collaborated with portfolio companies to craft the fund’s impact reportSupported the Triodos Food Transition Europe Fund on its daily activities Conducted due diligence and market research for potential investments Measured the Scopes 1, 2 and 3 emissions of the portfolio companies Collaborated with portfolio companies to craft the fund’s impact report Terra Roxa Brewing Co.Terra Roxa Brewing Co.Sep 2020 - Jan 2023 · 2 yrs 5 mosSep 2020 to Jan 2023 · 2 yrs 5 mosCotia, São Paulo, Brazil · On-siteCotia, São Paulo, Brazil · On-siteOperations Officer & Co-FounderOperations Officer & Co-Founder Designed and implemented brand and business impact models, partnering with local artists and nonprofits Managed production and sale of 10,000+ liters of beer, launching 7 cans and 15+ kegged varieties and distributing it to 30+ commercial partners Oversaw bar operations and events, team management, recipe development, partnerships and finances Grew average monthly revenue from R$0 to R$50,000 including bar sales and distributionDesigned and implemented brand and business impact models, partnering with local artists and nonprofits Managed production and sale of 10,000+ liters of beer, launching 7 cans and 15+ kegged varieties and distributing it to 30+ commercial partners Oversaw bar operations and events, team management, recipe development, partnerships and finances Grew average monthly revenue from R$0 to R$50,000 including bar sales and distribution AdventHealth Central FloridaAdventHealth Central FloridaNov 2018 - Jan 2021 · 2 yrs 3 mosNov 2018 to Jan 2021 · 2 yrs 3 mosOrlando, Florida AreaOrlando, Florida AreaExperience Designer/Innovation SpecialistExperience Designer/Innovation Specialist Managed and guided 70+ cross-functional teams through design-thinking innovation projects to create sustainable and relevant solutions for healthcare, making sure they fit in the Innovation portfolio Developed qualitative and quantitative metrics to measure innovation impact within the organization Supported the deployment of a new management system for the Central Florida Division Supported and facilitated building a culture of Innovation throughout the organisation Crafted and built innovation experiences and workshops for clinical and external partnersManaged and guided 70+ cross-functional teams through design-thinking innovation projects to create sustainable and relevant solutions for healthcare, making sure they fit in the Innovation portfolio Developed qualitative and quantitative metrics to measure innovation impact within the organization Supported the deployment of a new management system for the Central Florida Division Supported and facilitated building a culture of Innovation throughout the organisation Crafted and built innovation experiences and workshops for clinical and external partners Marketing Assistant & Ambassador Social Innovation and Entrepreneurship HubSocial Innovation and Entrepreneurship HubOct 2016 - May 2019 · 2 yrs 8 mosOct 2016 to May 2019 · 2 yrs 8 mosWinter ParkWinter ParkMarketing Assistant & AmbassadorMarketing Assistant & Ambassador Organized the “Ideas For Good Challenge” Pitch Competition Started and organized Rollins Think for Actions (Think Tanks) around UN SDGs Ideated and pitched the student-run Rollins Impact Investment Fund Organized the “Ideas For Good Challenge” Pitch Competition Started and organized Rollins Think for Actions (Think Tanks) around UN SDGs Ideated and pitched the student-run Rollins Impact Investment Fund BatterEASEBatterEASEJan 2018 - Dec 2018 · 1 yrJan 2018 to Dec 2018 · 1 yrWinter Park, FloridaWinter Park, FloridaCo-FounderCo-Founder Created partnerships, fundraised and designed the supply chain for the startup BatterEASE Dealt with crafting NDAs and contracts for suppliers Pitched to investors and secured initial funding Participated in the Starter Studio Accelerator Class 10 and Rally Social Enterprise Accelerator Fully funded to join the Hult Prize Accelerator in London for 6 weeks with the 40 most promising social startups of the world.

BatterEASE is a company that diverts e-waste from landfills and turns it into measurable, eco-friendly, scalable energy solutions.Created partnerships, fundraised and designed the supply chain for the startup BatterEASE Dealt with crafting NDAs and contracts for suppliers Pitched to investors and secured initial funding Participated in the Starter Studio Accelerator Class 10 and Rally Social Enterprise Accelerator Fully funded to join the Hult Prize Accelerator in London for 6 weeks with the 40 most promising social startups of the world. BatterEASE is a company that diverts e-waste from landfills and turns it into measurable, eco-friendly, scalable energy solutions. Sistema BSistema BMay 2017 - Aug 2017 · 4 mosMay 2017 to Aug 2017 · 4 mosSão Paulo Area, BrazilSão Paulo Area, BrazilIntern Intern Researched Impact Analysis and how the B Impact Assesment works. Completed extensive work with Impact Metrics, specifically within the B Impact Assessment to find existing and create new filters for businesses that target the Bottom of the Pyramid (BOP). Started conversations with prospect companies that were interested in getting certified and with B-pending entrepreneurs. Completed the training to be a " Multiplicador B" (ambassador), going over certain tools on how to expand the B-corp movement in BrazilResearched Impact Analysis and how the B Impact Assesment works. Completed extensive work with Impact Metrics, specifically within the B Impact Assessment to find existing and create new filters for businesses that target the Bottom of the Pyramid (BOP). Started conversations with prospect companies that were interested in getting certified and with B-pending entrepreneurs. Completed the training to be a " Multiplicador B" (ambassador), going over certain tools on how to expand the B-corp movement in Brazil AshokaAshokaMay 2017 - Aug 2017 · 4 mosMay 2017 to Aug 2017 · 4 mosSão Paulo Area, BrazilSão Paulo Area, BrazilInternIntern Developed an Impact Assessment for the program Grow 2 Impact, which taught Business skills to social entrepreneurs and helped them scale their organizations in Brazil. Connected with Ashoka Fellows through many interviews and field trips to measure the success of their accelerator program through qualitative and quantitative metrics. Wrote cases of success and developed an analysis of future challenges for the organization.

Matias Meirelles van Vliet brings a rare combination of impact investing, sustainability analytics, VC training, and hands‑on startup operations/marketing into his role as CODITECT’s COO/CMO and co‑founder.¹⁰⁵

Current Roles

COO/CMO, Coditect.ai (full-time, since Jun 2025): Responsible for operations and go‑to‑market for CODITECT, an enterprise agentic platform based in Winter Park, FL.¹⁰⁵
Venture Institute Fellow, VC Lab (since Jul 2025): Selected into VC Lab’s Venture Institute Cohort 5, a program combining formal VC training and practical experience for top-performing emerging fund managers.¹⁰⁵
Sustainability Consultant (self‑employed, since Nov 2024): Designs systems to track and communicate environmental impact, e.g., plastic displacement and quotation tools for a compostable packaging firm.¹⁰⁵

Prior Experience (Selected)

Pilot Lead / Program Manager, Regeneret (Aug–Dec 2023, Rwanda & Ghana):
- Analyzed impact of regenerative agriculture transition for 19,000+ smallholder farmers over 34,000+ hectares.¹⁰⁵
- Led field interviews for idea validation and adoption barriers; supported fundraising.
Intern, Triodos Investment Management – Food Transition Fund (Jan–Jul 2023, NL):
- Conducted due diligence and market research on impact investments.¹⁰⁵
- Measured Scope 1, 2, and 3 emissions and co‑authored impact reporting with portfolio companies.
Operations Officer & Co‑Founder, Terra Roxa Brewing Co. (Sep 2020–Jan 2023, Brazil):
- Built brand and impact model in partnership with local artists and nonprofits.¹⁰⁵
- Managed production and sales of 10,000+ liters, grew monthly revenue from R$0 to ~R$50k, handled operations, events, partnerships, and finances.
Experience Designer / Innovation Specialist, AdventHealth Central Florida (Nov 2018–Jan 2021):
- Guided 70+ cross‑functional teams through design‑thinking healthcare innovation projects.¹⁰⁵
- Created innovation impact metrics and supported deployment of a new management system.
Co‑Founder, BatterEASE (2018, Orlando):
- Built a social enterprise turning e‑waste into energy solutions, with supply chain design, NDAs/contracts, fundraising, and accelerator participation (Starter Studio, Rally Social Enterprise, Hult Prize in London).¹⁰⁵
Earlier roles:
- Marketing Assistant & Ambassador at a Social Innovation & Entrepreneurship Hub (events, pitch competitions, SDG think tanks).¹⁰⁵
- Impact/metrics intern at Sistema B (B Corp movement) and Ashoka (Grow2Impact program evaluation and success case studies).¹⁰⁵

Strategic Relevance for CODITECT

Capital & VC literacy: Venture Institute training + Triodos + fundraising experience → strong fit for investor conversations, impact framing, and capital strategy.¹⁰⁵
Impact & metrics: Background in measuring emissions, plastic displacement, and innovation impact → directly translatable into “value dashboards” and ROI storytelling for an enterprise agentic platform.¹⁰⁵
Ops & GTM: Co‑founder experience scaling a brewery and running marketing/ops + healthcare innovation work → practical grounding for CODITECT’s COO/CMO role, bridging enterprise buyers, operations, and storytelling.¹⁰⁵

If you want, I can now draft a 2–3 sentence “Team slide blurb” for Matias that fits directly into an investor deck alongside Hal and Will. ¹⁰⁶

⁂

Hal Casteel: Founder

CEO/CTO AZ1.AI | Coditect - Enterprise Agentic Platform | former GRAIL ERP Manager, Oracle NetSuite Certified Administrator | Consulting Solution Manager | NetSuite Solution Architect, Director of Business Applications GRAILFull-time · 2 yrs 5 mosRemote Staff NetSuite Supply Chain Functional Consultant, IT May 2022 - Sep 2024 · 2 yrs 5 mos Menlo Park, California, United States I served GRAIL's Procurement, Finance and Supply Chain departments as the Certified NetSuite Administrator and NetSuite ERP Subject Matter Expert and leading the ERP team to improve and scale GRAIL's business.… more GRAIL ERP Manager, Senior NetSuite Engineer, Certified NetSuite & Coupa Administrator. May 2022 - Sep 2024 · 2 yrs 5 mos United States Oracle NetSuite Consulting Solution Manager | NetSuite Senior Consultant & Solution Architect Oracle · Full-time Jan 2019 - May 2022 · 3 yrs 5 mos Winter Park, Florida NetSuite’s cloud ERP/financial suite is the top choice of technology companies who understand that the key to unlocking and managing growth is a back office system that can address today’s challenges while providing the critical foundation needed for the future.

Oracle NetSuite not only makes the best ERP product that serves the fastest growing companies in the world but also has the best consultants, solutions and experts that will assure that your company achieves the success that your hard work deserves by having Oracle NetSuite´s ERP best practices, processes and systems serving your business needs.

Maximise your ROI and work directly with Oracle NetSuite.

I am very excited and honored to join Oracle NetSuite´s team in the Software vertical and bring years of NetSuite hands on experience to further serve the technology industry.… more Manager | NetSuite Solution Architect | Oracle NetSuite Service Line Capgemini Jan 2017 - Dec 2018 · 2 yrs Winter Park, Florida I served Capgemini´s Oracle NetSuite's large NetSuite customers by helping to deliver Capgemini's innovative customer centricity as a Senior Application Manager and NetSuite Solution Architect in the Capgemini Oracle NetSuite service line.

Capgemini is one of the world's foremost providers of consulting, technology, outsourcing services and local professional services. Present in multiple countries with more than 180,000 employees, the Capgemini Group helps its clients transform in order to improve their performance and competitive positioning.

We offer an array of integrated services that combine top-of-the-range technology with deep sector expertise.

If you are looking to bring your NetSuite experience to help serve Oracle NetSuite customers in the world's leading consulting organization, please contact me as Capgemini grows our team in the Oracle NetSuite Service line.

https://www.capgemini.com more Financial System Analyst | NetSuite Certified OneWorld Administrator Cornerstone OnDemand

Hal Casteel is a founder-CEO/CTO with deep ERP, supply chain, and enterprise systems experience, now focused on CODITECT and AZ1.AI’s enterprise agentic platform.¹⁰⁷

Current Focus

Founder & CEO/CTO, AZ1.AI / Coditect – Enterprise Agentic Platform: Leads product and architecture for an LLM‑agnostic, multi‑agent development and automation platform aimed at enterprises.¹⁰⁸¹⁰⁹¹⁰⁷

Recent Experience

GRAIL (full-time, ~2.5 years, remote, Menlo Park–based):¹⁰⁷
- Staff NetSuite Supply Chain Functional Consultant, IT.
- GRAIL ERP Manager & Senior NetSuite Engineer.
- Certified NetSuite & Coupa Administrator.
- Owned and scaled NetSuite for Procurement, Finance, and Supply Chain; led ERP team and acted as the NetSuite ERP SME for a highly regulated, high‑growth biotech context.

Prior Enterprise & ERP Roles

Oracle NetSuite – Consulting Solution Manager / Senior Consultant & Solution Architect (3+ years):¹⁰⁷
- Led implementations for high‑growth technology companies using NetSuite’s cloud ERP/financials suite.
- Specialized in software vertical; applied NetSuite best practices, processes, and systems to unlock and manage growth.
Capgemini – Manager | NetSuite Solution Architect, Oracle NetSuite Service Line (2 years):¹⁰⁷
- Served large global NetSuite customers as Senior Application Manager and Solution Architect.
- Worked within Capgemini’s Oracle NetSuite service line, combining consulting, technology, and outsourcing expertise.
Cornerstone OnDemand – Financial Systems Analyst | NetSuite Certified OneWorld Administrator (earlier role):¹⁰⁷
- Managed financial systems with focus on NetSuite OneWorld in a large SaaS/HR tech environment.

Strategic Fit for CODITECT

Enterprise foundation: Years of owning ERP, finance, and supply‑chain systems in large, regulated organizations → strong grounding for CODITECT’s multi‑tenant, compliance‑friendly architecture.¹⁰⁸¹⁰⁷
Systems & integration mindset: Extensive NetSuite solution architecture and consulting experience maps to CODITECT’s emphasis on track‑based skills, ADRs, and governance for agentic workflows.¹⁰⁸¹⁰⁷
Go‑to‑market credibility: Background with Oracle, Capgemini, Cornerstone, and GRAIL gives enterprise buyers confidence in CODITECT’s ability to fit within existing back‑office and operational stacks.¹⁰⁷

If you want a deck-ready blurb, here’s a tight version you can paste:

Hal Casteel – Founder & CEO/CTO. Former GRAIL ERP Manager and Staff NetSuite Supply Chain Consultant; ex‑Oracle NetSuite Consulting Solution Manager and Capgemini NetSuite Solution Architect. Certified NetSuite & Coupa Administrator with 10+ years building and scaling ERP, finance, and supply‑chain systems for high‑growth and regulated enterprises—now leading CODITECT, an LLM‑agnostic enterprise agentic platform.¹⁰⁹¹⁰⁸¹⁰⁷

⁂

William McKinley: CPO/Founder/Advisor

Lead AI Program Developer & Senior Staff Software Engineer at GRAIL, LLC. | Spearheading AI Innovations in Healthcare Lead AI Program Developer & Evangelist at Grail, specializing in the development and advocacy of advanced AI solutions, including the pioneering of 'GrailGPT' for healthcare applications. With over 20 years of experience, I blend deep technical expertise with a keen eye for UX and project leadership, driving innovation and collaboration across multidisciplinary teams. My approach is characterized by:

Leading edge AI development and implementation, focusing on practical, impactful applications and community building within tech organizations.
Comprehensive project management, from concept through deployment, with a track record of delivering complex software solutions that enhance operational efficiency and user engagement.
Strategic UX/UI design leadership, ensuring intuitive, user-centered product interfaces that drive adoption and satisfaction.
Fostering team growth and a positive workplace culture, mentoring peers and promoting collaborative problem solving.

Specialties include GenAI Implementation, Software Engineering, Strategic UX/UI Design, and Cross-Functional Leadership. I am dedicated to solving complex problems with innovative solutions, maintaining a strong focus on achieving tangible results while enhancing team dynamics and project outcomes.

William McKinley is a CPO/founder-level product and engineering leader with 20+ years of experience, currently positioned as Lead AI Program Developer & Senior Staff Software Engineer at GRAIL, where he has driven “GrailGPT” and other applied GenAI efforts in healthcare.

Role and Focus

Acts as Lead AI Program Developer & Evangelist, owning both the technical development and internal advocacy for advanced AI solutions in a highly regulated healthcare environment.
Specializes in GenAI implementation, turning LLM capabilities into real, production-grade workflows rather than proofs of concept.
Combines software engineering depth with strategic UX/UI design, ensuring AI-powered tools are not just powerful but also intuitive and widely adopted.

Core Strengths

AI & Engineering Leadership:
- Leads edge AI initiatives with a focus on practical, impactful applications.
- Manages complex projects end-to-end—from concept to deployment—across multiple teams and stakeholders.
Product & UX Ownership:
- Drives user-centered interface design, making advanced AI accessible to clinical and operational users.
- Uses UX as a lever to increase adoption, satisfaction, and measurable business/clinical impact.
Cross-Functional & Culture Builder:
- Mentors engineers and cross-functional peers; promotes a collaborative, experimentation-friendly culture.
- Bridges data science, engineering, product, and domain experts (e.g., clinicians) to align on outcomes.

Relevance as CPO/Founder/Advisor for CODITECT

Brings hands-on GenAI product experience in healthcare, a sector that demands reliability, governance, and traceability—directly aligned with CODITECT’s emphasis on memory, auditability, and multi-agent orchestration.
Provides CPO-caliber product thinking: balancing technical innovation (multi-agent, multi-LLM systems) with UX, adoption, and real-world ROI.
As a founder/advisor, he strengthens CODITECT’s story around:
- “AI that actually ships”: from prototypes to maintained products.
- Human-centered design for complex agentic workflows.
- Operating AI programs inside large, regulated enterprises.

Deck-Ready Blurb You Can Paste

William McKinley – CPO / Founder / Advisor. Lead AI Program Developer & Senior Staff Software Engineer at GRAIL, where he spearheaded “GrailGPT” and other applied GenAI solutions for healthcare. With 20+ years of software engineering and strategic UX/UI leadership, he has a track record of shipping complex AI products that clinicians and enterprise users actually adopt. William brings deep GenAI implementation expertise, cross-functional leadership, and user-centered product vision to CODITECT’s role as an enterprise agentic platform. ¹¹⁰

⁂

What CODITECT Is​

Core Capabilities​

Architecture & Data Model​

Repository Layout​

Track/Skill System & CEF​

Example Track Usage​

Orchestration & Automation Model​

Governance, Security, and Workflow​

identify the market, market size TAM, SAM, SOM, intellectual property, moat, Vision, Focus & Commitment

Market, TAM / SAM / SOM​

Vision, Focus & Commitment​

Founding Team & Leadership​

Business Model & Value Proposition​

Customer Discovery & Market Validation​

Competitive Landscape & Differentiation​

Product / Service Development​

Financial Readiness & Projections (Qualitative)​

Capital Strategy & Investor Preparedness​

Regulatory Awareness & Industry Barriers​

Technology & Intellectual Property / Moat​

IP & Technology Assets​

Moat Dimensions​

founders: Hal Casteel CEO/CTO, FOUNDER/Advisor, Will McKinley, CPO, Matias van Vliet COO/CMO, Founder

Hal Casteel – CEO/CTO, Founder​

Will McKinley – CPO (Product)​

Matias Meirelles van Vliet – COO/CMO, Founder​

Capability Domains

→ Recommends: business-intelligence-analyst

→ Recommends: competitive-market-analyst

→ Recommends: ai-curriculum-specialist

See all workflow categories

Business workflows

Research workflows

All 15 domain libraries

Capability Domains (1–6)​

Capability Domains (7–15)​

Access Patterns & Libraries​

Workflow Library Summary​

Transform Ideas into Executable Workflows

What AgentFlow Does​

Relationship to CODITECT​

Strategic Fit / Differentiation​

Suggested Prompt You Can Paste (CODITECT + “AgentFlow”)​