Agents can now learn from their own mistakes - with Smart Skills
Your agents don’t need more expensive models. They need to learn from their own mistakes — automatically. Introducing Smart Skills: living, self-improving instructions that get generated, tested, and refined automatically based on how your agents are performing with your users in production.
How it works:
Generated from real signals. Voker watches for user corrections, frustration, and failed outcomes, then writes a Smart Skill to fix the issue. Proven to perform better than… “Claude use these logs to fix”.
Self-correcting. Every Smart Skill is versioned and measured against your agent's performance. If a Smart Skill is underperforming or regressing behavior, Voker flags it and auto-optimizes it.
Personalized. Enable Smart Skills globally, to specific companies, or to individual users.
Tied to cost and resolution tracking. See how Smart Skills are saving tokens. Fewer complaints, faster resolutions, and less agent "thinking" usually means lower spend, and now you can prove it.
Fully auditable. Every Smart Skill addition or removal shows up as a milestone directly on your performance charts, so you can see what changed and when.
Smart Skills make your agents run more efficiently, so you don’t have to optimize manually. Try it today at https://voker.ai/product#smart-skills.
Replies
This is a strong direction. The part I would care about most as an operator is the audit trail: what mistake was detected, what skill changed, and whether outcomes improved after that change. Self-improving agents sound powerful, but teams will trust them faster if every improvement is explainable and reversible.
WebCurate.co
I like the idea of learning from real user interactions instead of just tweaking prompts over and over.
In the long run, that kind of feedback loop is probably much more valuable than simply switching to a bigger or more expensive model. Btw, great logo, looks slick :)