Chat assistants, document and data extraction, search over your own content and workflow automation, built into web apps you can trust. That means tested on real inputs, with costs capped and a human where it matters.
Book a scoping call →Free call. Written scope and price within 48 hours.
A chat or command interface that answers from your own data, takes actions on the user’s behalf and says so when it does not know.
Turn invoices, emails, forms and PDFs into structured records, with validation and a review step for anything the model is unsure about.
Retrieval over your knowledge base, tickets or notes, with answers that cite where they came from.
Triage, summaries, routing and follow-ups that run on their own, including automations that read and update Trello boards.
Test sets built from your real inputs, output validation, rate and spend limits, logging and a fallback path when the model is wrong or down.
A focused feature in an existing product, not a rewrite. We scope it small, prove it works, then extend.
A free 45-minute call about what it has to do, who uses it and what "done" looks like.
A written scope, a delivery date and a price. Say no and you owe us nothing.
A small working version early, run against your real examples, so you see how it behaves before we polish it.
We deploy it to your accounts, walk your team through it and stay on for fixes.
We build production web products with billing, auth and per-user access rules, which is where AI features actually get hard: who may see what, what it costs per user and what happens when it is wrong. We build for that first.
A free scoping call, then a written scope and price. For anything uncertain we propose a small, fixed-price prototype first, so you learn whether it works before committing to the full build.
We choose per task, usually Claude, with other providers where they fit better. Keys and usage stay in your own accounts, so you can switch later.
Models can be wrong, so we design around it: answers grounded in your data with citations, validation on structured output, a human review step where mistakes are costly, and tests you can re-run.
We use provider APIs and settings that do not train on your data, and we send only what a feature needs. We will confirm the specifics for the provider we pick before you sign.
Per-user limits, caching, smaller models where they are good enough, and cost logging from the first day, so the running bill is no surprise.
Yes: summarising cards, drafting from board data, triaging new cards and automating routine updates. We can ship it as a Power-Up or as a service alongside your boards.