Use cases

For work that repeats — and judgment that shouldn't be delegated.

Developers, technical founders, AI builders and privacy-conscious teams first; the same guardrails then extend to legal, HR, finance and operations work.

The deal

Automate the repeatable, expose the exceptional

A good workflow doesn't hide complexity. It removes low-value handling and escalates what deserves your judgment.

Cycle time

Quality

Accountability

Operating principles

Start with one workflow

One focused workflow on real work builds more conviction than any demo.

Keep exceptions visible

Ambiguity, missing data and high-risk decisions surface to you — the system never pretends everything is automatic.

Judge by evidence

Cycle time, error reduction, effort saved and the audit trail — that's how you'll know it works.

Where it fits

Developers and software teams

Run analyze → plan → code → review → test loops on real repositories. You keep the decisions; the repetitive passes accelerate.

Technical founders

Ship faster without handing your codebase to a black box. One supervised workflow instead of five disconnected AI tabs.

AI builders

Compose specialized agents with routing, budgets, retries and stopping conditions you can actually observe and tune.

Privacy-conscious teams

Code, contracts and client data stay on infrastructure you control. Open models by default; external calls only when you allow them.

Legal and document-heavy work

Summaries, clause extraction and document comparison prepared by agents — professionals stay the final authority on risk and advice.

Operations, HR and finance

Recurring documents, reports and reconciliations handled with explicit review points, so the exceptions reach a human — always.