Score, trace, and trust each AI response
Future AGI connects to your agent pipeline in minutes and evaluates every response against the rubrics you set.
Production-speed response scoring
Write rubrics in plain English or choose built-in templates. Future AGI applies LLM-as-judge and rule-based scorers at once, delivering a composite score in under 200ms.
- Custom rubric scoring with pass/fail thresholds
- LLM-as-judge with configurable models
- Escalate low-confidence evaluations to humans
- Versioned scoring profiles for each use case
Catch hallucinations before your users do
Ground-truth comparisons and factuality checks flag fabricated claims on each call. See the exact span where the model made something up, rather than a post-hoc aggregate.
- Check each call against its supplied context
- Link each fabricated claim to its generating span
- Configurable threshold for flagging high-hallucination calls
Attribute every agent call to its span
In multi-hop agent chains, a wrong final answer is only the beginning. Future AGI captures each tool call, LLM hop, and retrieval step, then ties the evaluation score to the span that caused the problem.
- Span attribution across agent chains with up to 20 hops
- Replay traces in the dashboard, no log digging
- Latency breakdown per step to find bottlenecks
Fits the stack you already use
One wrapper for any LLM provider or framework. No infrastructure changes needed.
Ready to know when your AI is off-track?
Start free. No credit card needed. Results under 15 minutes.