Self-learning agents
Your best people shouldn’t have to teach your agents the same lesson twice.
Sidekick builds self-learning agents that apply expert feedback to future work.
Powered by Sidekick Memory
The next investigation should be better.
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Expert correction
“Compare trips under comparable operating conditions.”
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Lesson retained
Saved for this compressor, linked to the engineer’s feedback.
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Applied next time
Checks current conditions before selecting comparable trips.
What Sidekick delivers.
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Learning design
Define lesson sources, scope and access.
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Memory integration
Connect learning to your agent’s workflow.
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Proof of learning
Compare performance and repeated corrections against a baseline.
What should your agent learn from your team?
Bring one task your experts keep correcting.