A battle-tested, trust-first execution plan to deliver production-grade Agentic AI systems in 7 days.

Eliminate assumptions. Build trust before writing code.

• Map current AI stack (LLMs, prompts, integrations)
• Document failure modes
• Identify decision owner (CTO / Founder / PM)
• Define "production-ready"
• Agree on 3 measurable success metrics

• Get repo + cloud access
• Create shared workspace (Notion)
• Install observability (Langfuse)
• Send Day 1 summary email

• Discovery Brief (pre-research)
• Signed scope + success metrics
• Shared project tracker

Design system openly with documented decisions.

• Define agent boundaries
• Select orchestration framework (ADR)
• Design memory layers
• Map all external APIs

• Draft policy DSL
• Identify human-approval actions
• Define LLM routing strategy
• Share architecture draft

• Architecture Decision Record (ADR v1)
• System diagram
• Constraint policy draft

Build safety before capability.

• Implement policy DSL parser
• Build action interceptor
• Add human approval gates
• Write 15 unit tests

• Immutable audit logs
• Output schema validation
• Demo constraint blocking

• ✔ 15+ tests
• ✔ 100% actions through safety
• ✔ 0 unsafe execution paths

Ship one complete agent at a time.

• Structured task decomposition
• Constraint-aware routing
• Integration tests
• Observability logging

• Typed tool calls
• Retry + backoff logic
• Graceful failure handling
• Demo recording

• No secrets in code
• Schema validation enforced
• ≥80% test coverage
• Full documentation

Connect everything + make it visible.

• Connect full pipeline
• Run 20 end-to-end tests
• Validate constraints
• Verify retrieval quality

• Configure dashboard
• Track cost per query
• Set latency alerts
• Share dashboard access

Break the system before users do.

• Malformed input tests
• Prompt injection attacks
• API failure simulation
• Load testing (2× peak)

• 10% traffic split
• Auto rollback trigger
• Pre-launch checklist
• Hardening report

• Error rate < 2%
• P95 latency < 800ms
• 0 constraint bypass
• Rollback tested

Deliver + make client self-sufficient.

• Deploy at 10% traffic
• Monitor metrics
• Scale to 50% → 100%

• Full system walkthrough
• Client adds constraint rule
• Setup support channel
• Schedule 30-day review

• ADR (final)
• Runbook
• Observability dashboard
• Performance report
• 30-day SLA

• ✔ 100% success metrics met
• ✔ 30-day support confirmed

Trust compounds faster than features.

• Show decisions → build confidence
• Show failures → build credibility
• Show systems working → build belief

“If this exceeded expectations, introduce me to one founder.”

• Clone into your repo as README.md

• Use as:

  • Client delivery playbook
  • Internal execution guide
  • Consulting product asset
  • LinkedIn authority content