Every finished task should make the next one cheaper
Knowledge extraction turns completed runs into release notes, decisions and reusable context. The compounding effect is the real ROI of agent platforms.
Ondřej Novák
Founder
An agent run produces more than a diff. It produces decisions, discovered constraints, gotchas and verified facts about your codebase. Most teams throw all of that away when the chat window closes.
Distill, don’t archive
Agentis extracts structured knowledge from completed tasks: a human summary, release notes, business decisions and code-level findings. The next task in the same project starts with that context already attached — so the agent does not rediscover the same constraint for the fifth time.
- Release notes are generated from real shipped work, not memory.
- Decisions stay linked to the task where they were made.
- Repeated mistakes get documented once and avoided forever.
“The hundredth task should be the cheapest one your team ever runs.”
See Agentis in action on your own task
Sign in, describe a task and watch an agent deliver reviewed, ready-to-ship work in minutes.
Try Agentis now