Everything you need to build smarter, more reliable AI agents
Automatically extract entities, relationships, and evidence from agent outputs. Build a structured, queryable knowledge base with full provenance tracking.
Agents automatically evaluate their outputs, identify gaps, and refine on subsequent iterations. Watch accuracy improve with each cycle.
Every answer includes transparent confidence scoring and a factor-by-factor explainer so users can see exactly why the score changed.
Answers aren't just text—they're structured, analyzed, and connected to supporting evidence for full transparency.
Navigate through every refinement step. See how the agent thought changes, confidence improves, and answers evolve.
Never lose track of where information came from. Audit trails track every fact back to its origin and evolution.
Define your own evaluation criteria unique to your domain. Grade answers on what matters most to you.
Works with your LLM of choice. Switch between models, experiment with different agents, maintain full control.
Every query, every iteration, every refinement is saved. Build progressively on past work with full historical context.
Monitor loop execution in real time with iteration progress, current phase, and ETA estimates so users always know what is happening.
Users can rate output quality per session, and feedback is propagated into rule confidence to continuously improve future results.
| Feature | AILoop | Basic Agents | Agent Frameworks |
|---|---|---|---|
| Automatic Refinement | ✅ Built-in | ❌ Manual | ⚙️ Requires setup |
| Knowledge Graph | ✅ Auto-extracted | ❌ | ❌ |
| Confidence Scoring | ✅ Per-fact | ❌ | ⚙️ Manual |
| Full Provenance | ✅ Complete | ⚙️ Black box | ⚙️ Limited |
| Iteration Visualization | ✅ Interactive | ❌ | ⚙️ Manual logging |
| Custom Evaluation | ✅ Multi-criteria | ⚙️ Single score | ⚙️ Requires coding |
| Setup Time | ✅ 5 minutes | ✅ 1 minute | ⏱️ Days/weeks |
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