SPRINT · 2 WEEKS

Validate the AI bet before the build.

A 2-week sprint that ends in a working POC and a clean kill-or-build call. Fixed scope. Fixed price. No "phase 2."

Day 8 to staging. Day 14 to demo. Cadence is locked in week zero, in writing.

BUILT FOR

Three founders we've worked with.

If one of these sounds like you, we should talk.

"We think AI fits, but we're not sure."

You've spotted a workflow that smells like an AI use case. You don't want to commit a quarter of engineering before knowing if it actually works. A Sprint gets you to a real demo in two weeks.

"Our team is full-on the roadmap."

Your engineers are heads-down on the core product. You don't want to pull them onto an AI tangent that may or may not land. We Sprint in parallel, hand it back when done.

"The AI vendor pitched us, but we want our own check."

A vendor demo isn't proof their thing fits your data. A Sprint runs it on your data, your edge cases, your latency budget. Honest answers in two weeks.

WHAT YOU GET

The deliverables.

  • A working POC running on your data (not a prompt-engineered toy)
  • A short demo video for stakeholders who can't attend the live walkthrough
  • An honest write-up. What worked, what didn't, what'd it cost to build
  • Cost projections at 100×, 1,000×, 10,000× scale
  • A go/no-go recommendation with our reasoning
  • All code, prompts, evals. Yours, day one

TIMELINE

What happens, when.

Day 1–2

Brief + scope lock

Day 3–8

Build the POC against your data

Day 9–11

Eval + cost + latency analysis

Day 12

Internal walkthrough with founder

Day 13–14

Demo + handover doc

HOW WE WORK

The engagement, end to end.

Step 1

Week zero: alignment

We jump on a 30-min call. You describe the problem. We come back within 24 hours with: scope, success criteria, and exactly what we'll ship. If the fit is wrong, we tell you and refer you out.

Step 2

Week 1: build

You get a Linear board, a Slack channel, and a daily one-line update. The POC ships to staging by Day 8. You can poke at it from Day 9.

Step 3

Week 2: sharpen

Eval, cost projections, latency-vs-quality tradeoffs. We deliver the demo, the write-up, and the recommendation.

TECH STACK

What we typically reach for.

Pragmatic. Boring where boring works.

PythonTypeScriptOpenAIAnthropicLlamapgvectorSupabaseLangGraphLiveKitTwilioModalFly.io

OTHER WAYS TO WORK WITH US

Sprint to validate. Integration to embed. Build to launch. Residency to scale.

Have a 2-week AI bet to test?

One-line brief. 24-hour response. Sprint locked or referred out.

Talk to us