Reflexio is a learning platform that transforms static AI agents into self-improving systems. It autonomously reflects on interactions, corrects mistakes, and learns new skills from user feedback, making agents continuously evolve without retraining. All learnings are visible, auditable, and controllable.
How to use Reflexio?
Integrate Reflexio by using its portable skill or wiring the retrieve-and-publish loop through Python, REST, or CLI. Give a prompt to your coding agent or run a script from your repository. Reflexio inspects the agent's lifecycle, implements the learning loop, and verifies the changed path, allowing agents to learn from real interactions and improve behavior.
Reflexio 's Core Features
Autonomous reflection and self-correction for AI agentsContinuous learning from user feedback and interaction logsVisible, auditable, and controllable learningsSelf-tuning learnings optimized by performance evidenceEvaluation of agent performance against defined success metricsFlexible deployment options: Managed, BYOK, Your database, BYOC, Self-host
Reflexio 's Use Cases
Enabling AI agents to learn from customer service interactionsImproving coding agents by learning from code correctionsCreating self-improving AI assistants for various applicationsReducing repeated mistakes in AI agent behaviorEnsuring AI agents adapt to policy or product changesBuilding auditable and controllable AI learning systems
Reflexio 's Pricing
Free
0
Add a learning loop to your agents and see it work.
Pro
299
For teams running agents at production scale.
BYOC Self-hosted
Bring your own cloud hosting — self-host in your own account.
Reflexio 's FAQ
Most impacted jobs
AI Developer
Machine Learning Engineer
Software Engineer
Product Manager
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