Human-Friendly by Design
Automation should reduce burden without removing understanding. We build systems where humans can see what happened, why it happened, and how to change it.
This isn't about hype or illusions of autonomous superintelligence — it's about engineerable, inspectable, accountable systems grounded in real workflows.
Agents Are Accounts, Not Black Boxes
We treat agents like teammates. They operate through real accounts and real permissions inside Slack, GitHub, Linear, and your other tools. Nothing is hidden behind proprietary UIs or opaque APIs — everything happens where humans already understand context and authority.
Transparency: CLI First
Agents don't hide execution details.
- • Every instruction is a CLI command
- • Every result is logged
- • Every action is reproducible
If a human can run it, inspect it, and debug it manually — the agent should too.
Debuggability
If it can't be reproduced, it can't be trusted.
Workflows are designed as runbooks your team can run and inspect. This makes agent behavior predictable and failures transparent.
Safety at Every Layer
We design systems to respect:
- • Least privilege
- • Explicit escalation
- • Human approvals
- • Audit trails
- • Explicit runbooks
Agents are powerful — but you stay in the loop.
FAQ
Let's Build Something You Can Trust
What tools do you use today?
Where does work get stuck?
What must remain human-controlled?