DS Team assembles a full data science pipeline - research to delivery, zero human intervention.
analyst
Shipped
5agents
4workstreams
Finds the cause of regional sales dips. You stay hands-off.
We make agents able.
A repo you own
Every line of code belongs to you. No lock-in, no platform dependency.
A deployed app
Your product live on the internet. Not a slide deck. Not a roadmap. A running system.
The full build log with costs and failures
Every build timestamped, cost-tracked, failures logged. The receipts are public.
We build, debug, or optimise your agent team.
You have a problem. No agent team yet.
We compose the team. Ship the pipeline. You get the result.
Compose my agent team →You have a team. It's broken.
We diagnose the failure. Fix the root cause. Verify the fix.
Fix my agent team →You have a team. It works. Not well enough.
We measure the gap. Tune the pipeline. Show the improvement.
Optimise my agent team →Free audit first. Fixed quote before any engagement. Per engagement, not per hour.
analyst
Finds the cause of regional sales dips. You stay hands-off.
Metadata analysis, layout forensics, hidden content detection. Built from a brief to running demo. Read more →
developer + designer
Product catalog with filtering, admin CRUD, contact form, local SEO. Shipped in a day. Read more →
Import leads, run verification (MX, SMTP, disposable detection), send bulk campaigns with tracking. Read more →
analyst + art-director
Turns a client's vague "not too AI-looking" into a spec the pipeline builds from.
designer + art-director
Playfair Display, sharp corners, paper grain. Zero Inter. Zero pills.
Breaks impossible questions into solvable factors. Built and shipped without touching the keyboard. Read more →
analyst + developer
Ingest sources, extract concepts, cross-link entities, lint, deploy. The Karpathy wiki pattern: an LLM builds the KB, then answers hard questions about the subject. Read more →
How to write an AGENTS.md for your open source project →
How to compose an AI agent team for a project →
App Intelligence Research Agent — try the tool →
You. Every line, every config, every deployment artifact. No lock-in, no platform takeovers.
Whatever fits. The factory picks the stack per project: Cloudflare Workers, Next.js, Django, plain Python — whatever the problem calls for. You get the full build log with costs and choices documented.
Every build comes with 30 days of fixes. If the thing we shipped breaks on the same inputs it was built for, we fix it — first response in 1 business day, fix in 5. Edits you make and new requirements are scope, not bugs. Retainer for anything longer.
One session. You describe the problem, the Coach reviews what you have (if anything), and tells you which mode fits. No deck, no proposal, no sales process. You get a direct answer.
The factory runs the build. The Coach selects the team and reviews the output. If something fails, the Coach decides what to fix. You're not watching the factory — you're getting the result.
Most builds ship in under 4 hours of factory time. Complex builds take longer. The build log shows real times for every project.
"Tell us what you need built."
Let us build your agent team?The Coach composes AI agent teams. You get the result. No lock-in, no platform.