Think once. Prove it. Keep it.
Teselo turns the expensive reasoning your AI does into verified, reusable skills.
The first time, your AI does the work
When a request arrives that Teselo hasn't seen, it goes to your model as usual. Teselo watches the answer.
Nothing is kept on the model's word
Teselo turns the answer into a small program and runs it against real examples with known outputs. If any example fails, the skill is rejected and the gap stays open.
Proven skills join your library
Each tenant has its own private library. Skills are never shared between customers.
The next time is instant
Matching requests are answered by the proven skill on ordinary servers — no model call, consistent output, a fraction of the cost.
Skills combine into new skills
Teselo chains proven skills into new ones and proves the whole chain again before keeping it. The composed skill is shown in green with a dashed seam where its parts joined.
What each colour means.
- Newly added
- A skill that has just been proven and added to your library.
- Composed
- Built by chaining proven skills. Always drawn with a dashed seam where its parts joined.
- Proven
- Established in your library and serving answers.
- In shadow
- Running alongside the current path, not yet serving answers. Always drawn with a dashed frame.
- Superseded
- Replaced by a newer version and kept for audit.
- Rejected
- Failed its examples and was discarded. Always drawn with a red dashed outline and a red ✕.
Colour is never the only cue. Every state also carries a shape: a seam where a composed skill joined, a dashed frame while a skill is in shadow, a red dashed outline and ✕ when one is rejected.