Custom AI agents deployed anywhere
Mask engineers an agent for your context — your company, your app, your website — then deploys it where your users and your team already are.
T+00:03 ingest — 14 inbound requests
T+00:06 classify — billing (6) · bug (4) · other (4)
T+00:09 draft — billing reply → review queue
T+00:12 flag — api timeout → engineering queue
T+00:15 update — ticket states synced
Built for your context.
Deployed into it.
One service: we engineer the agent — its tools, its guardrails, its voice — and ship it into the system it has to work in. Your stack. Your rules. Your users.
Agents we put to work
Same engineering discipline, four shapes of job. Every one is built for your systems rather than dropped on top of them.
From brief to launch
Four phases. You see the agent working at every one of them — no black box, no reveal at the end.
Recon
We map the job: the tasks, the systems they touch, the decisions the agent must make alone and the ones it must hand back to you.
Build
We engineer the agent — tools, memory, guardrails and the interfaces it operates through — inside a working slice of your stack.
Trial
We run it against real scenarios with your team watching, tune what breaks, and agree on the limits before anything ships.
Launch
We deploy into the target — company, app, website or internal system — wire up monitoring, and hand you the controls.
Watch an agent work
The proof is the work, not the pitch. This run is synthetic — a faithful shape of the job, with no customer systems or data anywhere in it.
T+00:03 task — compile weekly operations summary
T+00:06 read — tickets, calendar, project board
T+00:09 group — 42 updates → 6 themes (illustrative)
T+00:12 flag — 2 items need a human decision
T+00:15 draft — summary.md → #ops-review
T+00:18 send — awaiting owner approval
Run sheet Illustrative
- Task
- Compile the weekly operations summary
- Sources
- Ticket system, calendar, project board
- Tools
- Read, summarize, draft, request approval
- Guardrails
- Numbers are checked; nothing ships without a human
- Stop condition
- Holds at approval and waits for the channel owner
Illustrative run shown for demonstration. No customer deployment, result or metric is claimed anywhere on this site.
Where the agent goes
The destination decides the build. Same agent engineering, four very different places to stand.
Tell us the job.
Describe the work you want off your plate. We come back with how we would build the agent that does it — the scope, the systems, the guardrails.