AI konzultace pro vývojářské týmy
I build the systems that run the agents — then leave your team able to run them.
Context engineering, custom MCP servers into your systems, an agentic layer with budgets and audit, and a loop from a new production error to a reviewed pull request. A PR to review, not auto-merge.
CTOs and heads of platform at scale-ups and in regulated sectors who want agents doing real work — safely, and on their own infrastructure.
An agentic layer in production with human gates, budgets and an audit trail, plus a map of where agents pay off and where to steer clear.
1–2 weeks
Where agents pay off in your delivery, and where to keep them out.
2 weeks
One workflow automated end to end in your repository, with gates.
2–4 weeks
Deterministic, permissioned access to your own systems.
Where your delivery loses time, and what must never be automated.
A short, fixed-scope assessment with a recommendation.
Budgets, approvals and an audit log from the first commit.
Cycle time, change-failure rate and time from incident to fix — no hero numbers.
A build kit for AI agents that survive a crash mid-task, stop at their budget and touch nothing without your approval.
One tunnel for your whole dev team: a tester circles a bug and writes one sentence, an agent fixes it and posts the after-shot.
A real-time control plane between the energy market and the machines on site.
Prices on request: tell me the scope and I will send a fixed quote.