Teams that measure instead of guessing
Solo engineers and product teams with several AI features live in production share the issues our early-access partners repeatedly faced.
How teams use Future AGI
Spotting drift the same hour, not the following week
A Fintech SaaS team used an AI assistant to answer enterprise customer questions. After a provider quietly changed a model checkpoint, instruction-following scores fell 14 points. Without Future AGI, customer tickets would have exposed the issue three or four days later. With continuous evaluation on every call, an alert fired 47 min after rollout.
Identifying the hallucinating hop in a 5-step agent chain
A Legal Tech product used a five-hop agent to extract, classify, summarize, cross-reference, then answer. When responses began adding fabricated citations, the team knew the final answer was wrong but not which step caused it. Future AGI's span-level attribution identified cross-reference within the first integration week, so they rewrote only 1 prompt that failed.
What teams report after six months
We changed a prompt, and Future AGI caught a 12-point instruction-follow drop before any tickets arrived. That early warning was exactly what we lacked.
The trace explorer replaced three internal dashboards by itself. Now everyone can replay any bad response without searching through logs.
Our multi-agent workflows run through five hops. Future AGI identifies the exact hop that caused each hallucination. No competing tool does so at this price.