Prepared exclusively for Amazon Agency Founders

From AI Prototypes To Shippable, Repeatable Products.

A tailored strategy to solve your most critical challenges and unlock growth.

📅 June 2, 2026 👤 Prepared by Jason 🔒 Confidential

Where You Are Today

We've taken the time to deeply understand your current situation. Here's what we identified.

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Prototypes that don't survive client hands

Most agencies ship AI tools that work in demo and break the first time a client uses them differently than expected. The gap between 'I built it' and 'the client can run it without us' is where service reputations die — and where the founders end up firefighting instead of selling.

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No shared spine across deliverables

Each agent project starts from zero. No reusable skills library, no shared prompt patterns, no consistent observability or cost controls. Project margins erode as the agency scales because every build re-solves problems the last build already solved.

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Founder-driven strategy needs a technical owner

Strategy decisions land on a team without deep technical chops. Without someone who can translate 'we want this for our clients' into an architecture — testing, handoff, cost ceilings — every project becomes a fire drill instead of a shippable product.

A technical owner who turns AI services into products you can ship — over and over.

I take what your team already delivers and bring the productionization layer: reusable skills, reliable prompts, testing, monitoring, documentation, and client-side handoff playbooks. Project-based to start so we both validate fit, evolving into the full-time technical role as we grow what's working. Founders stay strategic. I own the execution. Every project ships cleaner than the last because we're building a library, not one-offs.

Services & Deliverables

Everything you need — built, delivered, and ready to run.

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Phase 1 — Productionize current AI deliverables

  • Audit existing AI projects, identify reliability gaps and silent failures
  • Add testing, error handling, retries, and cost monitoring per project
  • Standardize LLM integration patterns — OpenAI, Anthropic, fallback logic
  • Document each project for clean client handoff and internal team reuse
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Phase 2 — Build the reusable skills library

  • Identify recurring patterns across client work — research, drafting, classification, summarization, data enrichment
  • Build a private library of agent skills and prompt templates
  • Each new project pulls 60–70% of its logic from the library — faster, cheaper, more reliable
  • Library grows with every project; margin grows with the library
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Phase 3 — Automation platform fluency

  • Zapier, Make, n8n integration patterns standardized for client deployment
  • Amazon-side connectors where it counts — Seller Central data, Helium 10, Jungle Scout APIs
  • Webhook patterns, retry queues, observability baked into every workflow
  • Each automation lives in client tooling, runs reliably, fails loudly when needed
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Phase 4 — Client handoff playbooks

  • Every deliverable ships with: clear docs, Loom walkthrough, support runbook
  • Clients can run it without us — that's the real test of professional shipping
  • Reduces founder firefighting load and protects margin
  • Optional retainer for new feature dev and model-cost optimization

How We Get There

A clear, phased approach so you always know what's next.

1
Trial Project Weeks 1–2

Pick one live AI deliverable. I ship it productionized end-to-end. Working style demonstrated, fit validated.

2
Continued Projects Month 1–2

Roll into 2–3 more deliverables. Skills library begins. Documentation patterns lock.

3
Library + Standards Month 2–3

Reusable skills library and prompt patterns mature. New projects ship 40–60% faster.

4
Full-Time Conversation Month 3+

Based on results, we discuss the full-time technical role. Performance speaks for itself.

How Your System Works

A visual breakdown of your build — from first touch to close.

No Yes Project Brief Pull From Library Build + Test Production Ready? Harden + Retry Document + Loom Client Owns It Library Updated
Ready to move forward

Start with one real project. Let me prove the working style.

Send me a few times you're free this week. I'll come ready with a 30/60/90 plan for how I'd own the technical side — and we'll pick one current AI deliverable to ship together as the trial run. No long commitment up front, just one project to validate the fit.