Choose your path
Not sure which of these you need? Start from the symptom. Find the row that sounds like your week, and it points you at what’s actually going on and where to start.
#Match the symptom to the fix
Most people arrive describing a symptom, not a solution — “the chatbot said something wrong,” “every release breaks something,” “we’re buried in intake.” Each of those maps to a different capability. Find your row; the last column is a real page you can open right now.
| The symptom you have | What’s actually going on | Where to start |
|---|---|---|
| Our AI chatbot / assistant sometimes says wrong or unsafe things | You shipped an LLM feature but have no way to prove it behaves — no golden set, no judge, no gate. Prompt changes ship on vibes. | You need an eval layer → AI evaluation & quality, then run the live eval on your own AI |
| Every release we ship breaks something else | No regression suite a release manager trusts, or a flaky one everyone ignores. Red stopped meaning anything. | You need a regression suite + CI gate → Test automation & CI |
| We’re buried in manual intake, triage, or routing | Repeatable work a well-built automation could run — but it has to be safe, logged, and not invent things. | You need workflow automation → AI workflow automation |
| We need the AI feature built, not just tested | The chatbot, RAG assistant, voice agent, or copilot doesn’t exist yet — you need it built reliably, with the eval seams already in place. | You need AI product engineering → AI product engineering |
| We need the app around the AI — auth, payments, dashboards | The model is the easy part; the production surface around it (accounts, billing, admin, data viz) is the real work. | You need product & platform → Product & platform |
| Not sure — it feels like several of these | That’s normal; a shaky AI feature usually needs both building and proving. The cheapest way to find the real bottleneck is to measure it. | Start with the free mini-eval or a 15-minute call |
#The lowest-friction ways to start
Whichever row you landed on, there are three doors in, ordered by commitment. Most people start with the first — it costs nothing and does real work.
1 · Free mini-eval
Point me at your live AI feature and I run a batch of real adversarial probes — injection, hallucination, scope, PII, tone — and send verbatim pass/fail findings. No call, no cost. See the sample report first.
2 · The audit
A short, focused engagement (about a week) that maps your highest-leverage failure surface and hands you a prioritized plan you own plus a concrete quote. If I can’t help, I say so and it costs nothing.
3 · A 15-minute call
Describe the problem and I tell you honestly which of these it needs, what it takes, and roughly what it costs — or that it doesn’t need me at all. You leave with a plan either way.
#If none of the rows fit
Once you know the capability you need, each page above goes deep on what it is, what you get, and how it works — and every one ends with real proof you can open. When you’re ready to see the whole path from a short audit to a shipped, owned system, read How engagements work.