AI Product Advisory + Build Sprints

Skip the hype.
Ship what matters.

Focused workshops, advisory, and build sprints for founders and product teams who need AI expertise that starts from the business problem and ends with something shipped.

40 days
Idea to shipped iOS app
$1.7M
Raised for Klu.ai
4 cos
Product leadership roles
72 hrs
Diagnostic turnaround
Engagements

Three lanes. One goal:
shipped product.

Every engagement produces written deliverables, not slide decks. Starts from your customer and your business problem. Measures outcomes, not adoption.

Lane A / Entry
AI Product + LLM Reliability Diagnostic
$1,000 one-time
For founders and CPOs shipping AI in the next 30-90 days

"Tell us what to build, how to measure it, and how to ship it without reliability surprises."

One product area. One user workflow. One success metric set. A written Decision Memo in 72 hours.

  • 75-minute working session
  • 5-7 page Decision Memo (PDF/Notion)
  • Evaluation plan with target metrics
  • 30-day experiment backlog with owners
  • Build-vs-buy recommendation
  • Loom walkthrough (10-15 min)
Lane B / Recurring
Founder Build Advisory + Fractional AI Product Lead
Monthly retainer
For founders without a CTO, or product teams shipping LLM features

No-CTO Track: Monthly MVP Spec Pack (PRD + user stories + acceptance criteria), contractor scorecard, sprint plans, and go-to-market test plan. Weekly 30-min build reviews.

Shipping Track: Monthly Exec Readout Memo, evaluation harness spec, experiment pipeline, pricing/packaging recommendations. Weekly 60-min working sessions + monthly stakeholder alignment.

  • Written deliverables every sprint
  • Contractor/hiring scorecard + interview loop
  • Evaluation harness with golden sets + thresholds
  • Pricing and packaging recommendations
  • First spec pack within 10 days of start
Sprint / High Ticket
40-Day AI MVP Build Sprint
$120,000
For founders who want a demoable MVP shipped fast

The same approach that shipped a full iOS nutrition coaching app in 40 days. Product leadership, engineering execution, and go-to-market planning, all in one sprint.

You get a demoable, shippable MVP with product strategy, technical architecture, and a plan to scale.

  • Full product leadership + execution
  • Working, demoable MVP in ~40 days
  • Technical architecture documentation
  • Go-to-market playbook
  • Handoff-ready for your team to scale
Who's behind this

Built the LLM platform. Shipped the app. Led product at scale.

Stephen M. Walker II isn't a consultant who read about AI. He co-founded Klu.ai (LLM evaluation platform, $1.7M pre-seed from a16z/Sequoia scouts), led product at Amazon, Productboard, and Freeletics, and publishes at ProductStrategy.co.

  • Co-founder & CEO, Klu.ai
  • Product leadership at Amazon, Productboard, Freeletics
  • Published at ProductStrategy.co (PS.co)
  • Speaker: European CPO Conference, Product School
Case Study
Fuel Nutrition App
A full-featured iOS nutrition coaching app, built solo using AI for every line of code and all marketing. From idea to shipped product.
40
Days to ship
1
Person
100%
AI-built
Philosophy

Written outputs. Real outcomes. No decks.

Start from the customer

Every engagement begins with the business problem and the user, not the technology. Amazon's Working Backwards methodology, applied to AI.

Written over presented

Decision Memos, not slide decks. Spec Packs, not brainstorm sessions. Written artifacts you can hand to an engineer and act on immediately.

Outcomes over adoption

Success is a shipped feature with measurable reliability, not an AI strategy document that lives in a drawer. If it doesn't ship, it doesn't count.

The gap between "AI strategy" and "shipped AI product" is where companies get stuck.

ShipSprint exists to close that gap. From a one-hour diagnostic to a 40-day build sprint, every engagement ends with something you can act on.