Production AI web apps & autonomous agents.
Full-stack builds, shipped and deployed — with the unglamorous parts done right: typed APIs, row-level security, signed webhooks, server-side keys, and agents that are evaluated and gated, not vibes.
How the agents are actually built
The hard part of AI isn't generating text — it's doing real work safely. In practice, that's:
Tool-use loop
Claude tool use over your real functions/APIs — observe → plan → call tools → continue. Read-and-propose by default; it never publishes or spends on its own.
Critic + human-in-the-loop
A second agent vets each action against your rules; everything lands in an approval queue. Nothing ships without your cue.
Eval harness
Outputs scored against a written contract, CI-gateable — so a prompt or model change can't silently regress. Verified, not hoped.
Safety rails
Kill switch, budget caps, dry-run, full audit log, runaway-step bounds. The boring guarantees that make it safe to run.
Secure full-stack
Supabase RLS, server-side keys, rate-limited serverless routes, Stripe Checkout + signed idempotent webhooks. Auth + entitlements wired correctly.
RAG done right
Chunk-level retrieval with citation verification — grounded answers from your real source, not hallucinated ones.
Spec it. Get a phased quote.
Describe the build — stack, scope, the works. You'll get a phased roadmap with per-phase pricing, instantly.
Packages
Fixed-price, or phased pay-as-you-go. Add-ons are quoted and approved upfront.
AI Feature
- One Claude feature: assistant / structured gen / RAG
- Server-side keys + eval harness
- Standalone or bolted onto your app
MVP Launch
- Next.js + Supabase app, auth + RLS
- Up to 3 core features, responsive
- Deployed to your domain · repo + handoff
Operator Agent
- MVP + a tool-using agent with a Critic
- Human-in-the-loop + safety rails
- You own it; monthly keeps it sharp
Understudy