AI product builds + feature sprints
I build complete AI products from idea to first release in two weeks, or ship the next feature in your existing product. Product flow, API, evals, failure handling, tests, deployment, and handoff.
1 founding-rate sprint remainsacross the build practice, confirmed manually.
In-house example / support copilot
The assistant answers the happy path, but there is no evidence trail when account policy matters.
Trace
Unmeasured risk
A plausible answer can promise an entitlement the customer does not have.
Next change
Turn the failure into a repeatable eval before changing the prompt.
Useful demo, unsafe release
Representative in-house example. It demonstrates the working method, not a client result or benchmark.
AI product development
An AI product development sprint is a fixed-scope engagement that takes one valuable AI capability from a working idea or prototype to a production release. The work is organized around a customer outcome, not a broad model experiment.
In this 10-working-day sprint, that means the product flow, API, evaluation suite, guardrails, failure handling, observability, tests, deployment, and operating handoff needed for one bounded feature.
Review Omid Ahourai's background and public work on GitHub.
Ship grounded answers with citations, evals, fallback behavior, and traces your team can inspect.
Connect tools and approvals around one customer job, with budgets, retries, and a human escalation path.
Turn a working demo into a tested product flow with observability, failure states, deployment, and handoff.
The operating promise
You work directly with the person scoping, writing, testing, and releasing the feature. The day-5 slice keeps the work inspectable before the production handoff.
Real path, real application data, reviewed together.
Acceptance evidence, deployment, rollback, and notes.
No lock-in, staffing shuffle, or mystery relay.
Where prototypes get stuck
This sprint starts after the demo, when a customer commitment turns ambiguous behavior into an engineering risk.
Enterprise pilot
The happy path looks persuasive, while evidence gaps, tool errors, and escalation paths remain undefined.
Customer commitment
Prompt tweaks happen by feel because the customer promise is not represented in a repeatable eval suite.
Model or provider change
Timeouts, structured outputs, retries, budgets, and fallback behavior are scattered across a prototype path.
Launch deadline
A failure arrives as a support ticket instead of a trace with the model, evidence, tool calls, and decision path.
Definition of production
The exact implementation follows your stack. The release bar stays consistent: behavior is testable, observable, reversible, and understandable by the team that inherits it.
01 / Customer path
The UI and API behavior a real customer uses, including loading, empty, denied, retry, and handoff states.
02 / Release gate
Executable cases for the agreed acceptance criterion, including adversarial and provider-failure paths that can block release.
03 / Failure design
Evidence rules, approvals, retries, limits, and human escalation designed as product behavior instead of catch-all errors.
04 / Operations
Inputs, provider calls, evidence, latency, fallback reasons, and outcome labels that make a production report diagnosable.
05 / Delivery
The feature ships through your existing stack with regression coverage, release notes, and a known recovery point.
06 / Ownership
A direct handoff with architecture notes, eval commands, trace guidance, and a 14-day defect warranty. No agency relay.
The 10-day process
The clock begins only when scope, access, dependencies, and a decision-maker are ready. New scope gets a new written acceptance criterion; customer-caused blockers pause the clock.
Before day 01
Agree on one customer path and one written acceptance criterion. Repository, staging, credentials, dependencies, and a decision-maker are ready before the clock begins.
Days 01-02
Reproduce the blocker, map model and tool boundaries, write the failing eval, and confirm the smallest production slice that proves the flow.
Days 03-05
Wire the customer flow through real application data and staging. Review a working slice together on day 5 while changes are still inexpensive.
Days 06-08
Add guardrails, provider failure handling, traces, regression cases, and the operational states needed to support the feature after launch.
Days 09-10
Run the acceptance gate, deploy through your release process, verify rollback, and hand over code, evidence, and operating notes.
Scope boundary
The sprint works when the product decision is made and one valuable customer behavior needs senior production engineering.
Good fit
Not this sprint
Your side: product decision, access, credentials, and timely review. My side: implementation, release evidence, and a candid call when the boundary moves.
One fixed package, with payment milestones and the refund boundary visible before checkout.
Standard rate $25,000
$18,000
Founding rate for the single manually confirmed slot.
Book 15 minutes and I will tell you straight whether this is a clean two-week sprint. The $1,800 deposit comes after that call, reserves the price rather than a start date, and is credited in full.
Refunded if I decline fit, cannot offer two start dates within 60 days, or you cancel before accepting a written SOW and date. It becomes non-refundable after written SOW and date acceptance.
Another 40% is due before work begins; the final 50% is due at production handoff. Applicable taxes are disclosed before the SOW.
Already had the call? Reserve the $1,800 deposit. Terms version 2026-08-18. Secure checkout is handled by Stripe.
Straight answers
Scope, payment, access, and ownership before either of us commits.
One end-to-end customer behavior with one written acceptance criterion. It can include the UI, API, model or tool path, evals, failure handling, instrumentation, tests, and deployment needed to make that behavior production-ready. A product area, platform migration, or backlog is not one feature.
A working repository, staging access, required credentials and dependencies, one decision-maker, and a measurable acceptance criterion. The 10-working-day clock starts when those inputs are ready. Customer-caused blockers pause the clock and may move the release date.
No. It reserves the displayed $18,000 founding price but does not reserve a start date. The 15-minute scope call happens before that and is free. If the sprint is a fit, I offer two start options within 60 days. The deposit does not by itself promise a date.
It is refunded if I decline the fit, cannot offer two start dates within 60 days, or you cancel before accepting a date. Once we accept the written SOW and date, it is non-refundable because that capacity is reserved.
Model and architecture choices are made against the agreed behavior, your stack, and operating constraints. Your company owns the production code and receives the tests, evals, release evidence, and handoff notes. There is no proprietary delivery framework to license back.
The sprint ends at production handoff with release evidence and operating notes. A 14-day warranty covers defects against the agreed acceptance criterion. New behavior, changed scope, and third-party changes are scoped separately.
Written path
Tell me which customer is waiting, what the feature does today, and what must be true in production. I will reply with a written fit assessment and the next concrete step.
Adjacent sprints
fintech / 10 working days
Ship one revenue- or compliance-blocking workflow with operations and release evidence.
devtools / 10 working days
Ship one setup-to-success path with failure recovery, instrumentation, tests, and a working quickstart.
onchain / 10 working days
Ship one production wallet, payment, contract, or agent feature with explicit safety boundaries.