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AI PRODUCT REALITY SPRINT · 10 BUSINESS DAYS

Make the risky part real before you scale it.

A focused architecture and build sprint for technical founders and product leaders who have a real AI product or workflow and need to know what will survive contact with reality.

start the conversation →scope first · price after fit

timebox

10 days

focused, decision-led work

focus

one workflow

the path that matters most

result

a buildable path

evidence, risks, and next steps

01

what you leave with

Product and constraint brief

A shared definition of the user, critical workflow, success criteria, and the cost, security, and reliability constraints that matter.

Architecture and decision map

A practical system design covering data flow, model choices, human review, failure boundaries, and the trade-offs behind each decision.

Working vertical slice

One important workflow working end-to-end. If access or data blocks implementation, you get a precise blocker and the smallest path around it.

Reality check and handoff roadmap

A cost and risk view plus a concrete 30/60/90-day plan showing what to build next and what not to build yet.

02

how it runs

01Align

Kickoff on the user, workflow, evidence, and constraints.

02Decide

Turn ambiguity into an architecture and a short decision log.

03Build

Make the critical path real and test where it breaks.

04Handoff

Leave you with evidence, risks, and a next-build plan.

best fit

  • • You have a real user or workflow in mind.
  • • You need a critical path made concrete.
  • • You can make decisions and provide access quickly.

not a fit

  • • You want broad outsourced development without decisions.
  • • You are still looking for a problem to solve.
  • • You need a guaranteed full product in two weeks.

For larger enterprise or regulated engagements, the sprint can be the first step into a broader architecture, delivery, or fractional CTO engagement. See the enterprise proof for the kind of constraints I am used to working under.