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Strategic Recommendation: Prompt Execution Strategy

Executive Decision​

Question: Should you run the Master Prompt as-is or break it down?​

Answer: BOTH — but in a specific sequence.

Rationale​

The Master Prompt Problem​

IssueImpactEvidence
SizeContext window saturation7,500 lines = ~150k tokens
ScopeAttention dilution12+ domains in single prompt
Depth vs. BreadthShallow outputsCan't go deep on any single topic
ReferencesNoise ratio~2,000 lines of footnotes

Running the master prompt as-is will produce:

  • High-level overview across all domains ✓
  • Production-ready code in specific areas ✗
  • Actionable implementation details ✗
  • CODITECT-specific customization ✗

The Modular Prompt Advantage​

BenefitImpact
Focused contextFull attention on single domain
Deeper outputsProduction-ready artifacts
Iteration capabilityRefine specific areas
Parallel executionMultiple team members simultaneously

Step 1: Master Prompt for Strategic Orientation (1x)​

Run the full master prompt once with a specific framing:

**INSTRUCTION**: Do NOT generate detailed code or configurations.
Instead, provide:

1. A prioritized implementation roadmap (phases, milestones, dependencies)
2. Critical technology decision summary (with your recommendations)
3. Risk assessment for each major component
4. Integration points between components
5. Estimated effort (weeks) for each major deliverable

Format as executive briefing document, max 3,000 words.

Purpose: Get the strategic landscape view and validate your understanding.

Time: 30-45 minutes Output: Strategic roadmap document

Step 2: Tier 1 Research Prompts (5x in parallel)​

Execute these independently (can be parallelized across team members):

PromptOwnerOutputTime
PROMPT 1: LangGraph WorkflowAI TeamWorkflow engine code4 hrs
PROMPT 2: OpenFGA RBACSecurityAuthorization model3 hrs
PROMPT 3: immudb AuditPlatformAudit layer code3 hrs
PROMPT 4: DeepSeek-R1MLOpsLLM deployment5 hrs
PROMPT 5: Airbyte HubDataConnector configuration4 hrs

Purpose: Generate production-ready technical specifications.

Total Time: ~19 hours (5 hours if parallelized) Output: 5 deployable technical modules

Step 3: Integration Synthesis (1x)​

After Tier 1 research completes, run a synthesis prompt:

**CONTEXT**: [Paste summaries from each Tier 1 prompt output]

**TASK**: Design the integration architecture that connects:
1. LangGraph workflow engine
2. OpenFGA authorization
3. immudb audit trail
4. DeepSeek-R1 inference
5. Airbyte data ingestion

**REQUIREMENTS**:
- Event-driven communication patterns
- Shared state management approach
- Error propagation strategy
- Observability instrumentation
- Deployment sequencing

**OUTPUT**: Integration architecture document with sequence diagrams.

Purpose: Ensure components work together cohesively.

Time: 2-3 hours Output: Integration architecture specification

Step 4: Tier 2 Research Prompts (7x, prioritized)​

Execute in priority order based on business needs:

PriorityPromptDependency
P1NeuralProphet ForecastingData ingestion
P1Month-End Close WorkflowLangGraph engine
P1Open Finance BrazilAirbyte connectors
P1PostgreSQL RLSNone
P1NLG VarianceDeepSeek-R1
P2Dagster OrchestrationAirbyte
P2Brazilian ERPsAirbyte

Purpose: Build out vertical-specific capabilities.

Total Time: ~32 hours Output: 7 additional technical specifications

Step 5: Product Pack Assembly (1x)​

Combine all outputs into cohesive product packages:

**CONTEXT**: [Paste all Tier 1 + Tier 2 outputs]

**TASK**: Package these components into the CODITECT FP&A Automation Pack:

1. Define module boundaries and interfaces
2. Create pricing tier feature matrix
3. Write customer-facing documentation
4. Design onboarding workflow
5. Specify support escalation paths

**OUTPUT**: Product package specification ready for engineering handoff.

Purpose: Transform technical specs into shippable product.

Time: 4-6 hours Output: Product release specification

Execution Timeline​

Week 1:
├── Day 1-2: Master Prompt strategic run
├── Day 3-5: Tier 1 Prompts (parallel)
└── Day 5: Integration synthesis

Week 2:
├── Day 1-3: Tier 2 Prompts P1 batch
├── Day 4-5: Tier 2 Prompts P2 batch
└── Day 5: Product pack assembly

Week 3+:
└── Engineering implementation begins

Total Research Investment: ~60 hours Parallelized Timeline: 2 weeks Output: Complete technical specification for FP&A Automation Pack

What NOT to Do​

❌ Don't run the master prompt and expect production code​

  • 7,500 lines of prompt → high-level output, not production artifacts

❌ Don't skip the master prompt entirely​

  • Losing strategic context makes modular prompts disconnected

❌ Don't run all prompts sequentially​

  • Wastes time when many can run in parallel

❌ Don't expect first-pass outputs to be final​

  • Each prompt may need 2-3 iterations for production quality

Resource Allocation Recommendation​

RoleAssignmentTime Commitment
AI EngineerPrompts 1, 4, 1012 hours
Security EngineerPrompts 2, 36 hours
Data EngineerPrompts 5, 6, 11, 1218 hours
Platform EngineerPrompt 94 hours
Product ManagerPrompts 7, synthesis, packaging14 hours
Tech LeadMaster prompt, integration, review10 hours

Total Team Hours: ~64 hours across 6 people Calendar Time: 2 weeks (with parallel execution)

Success Criteria​

The research phase is complete when you have:

  • Strategic roadmap from master prompt review
  • LangGraph workflow implementation (PROMPT 1)
  • OpenFGA authorization model (PROMPT 2)
  • immudb audit integration (PROMPT 3)
  • Local LLM deployment guide (PROMPT 4)
  • Airbyte connector configuration (PROMPT 5)
  • Integration architecture document
  • At least 3 Tier 2 prompts completed
  • Product pack specification
  • Engineering handoff document

Final Recommendation​

Execute the hybrid approach:

  1. Run master prompt once for strategic orientation
  2. Decompose into modular prompts for production-quality outputs
  3. Parallelize execution across team members
  4. Synthesize into products after technical specs complete

This approach extracts maximum value from the comprehensive research while producing actionable artifacts for CODITECT product development.