From First Prompt to Reliable Agent: The Full Improvement Loop, Live | Future AGI

Can your AI agent actually get better every week - with proof? In this end-to-end demo, we take Ava, a portfolio analyst agent for a wealth-management firm, and run her through the complete Future AGI improvement loop: simulate, evaluate, diagnose, fix, and verify. No cherry-picked examples - you watch the platform find real failures in 100 simulated conversations and turn them into concrete fixes. 🔗 GitHub: https://github.com/future-agi/future-agi 🔗 Website: https://futureagi.com/ 🔗 Docs: https://docs.futureagi.com/ ⭐ Star the repo if you find it useful! 🎬 What you'll see in this demo → Gateway: pin the right model with a real cost/latency bake-off across candidates — one env var to switch, headers that prove the choice → Prompt Workbench: version the agent's system prompt on the platform and deploy revisions by moving a label — zero code changes, instant rollback → Simulate: stress-test Ava against 100 scenario-driven conversations with realistic personas, before any real client talks to her → Evaluate: score every conversation automatically — policy compliance, tool-call accuracy, CSAT — against a policy knowledge base → Fix My Agent: one click turns a finished run into ranked, actionable suggestions — prompt-level, branch-level, and infrastructure-level → Error Feed: every failure clustered by root cause and severity, from hallucinated context to skipped escalations → Observe: full production tracing with 100% eval coverage — every LLM call, tool call, and decision, scored live → Close the loop: apply the fixes as a new prompt version, re-run the same 100 scenarios, and see the before/after in numbers ❓ Who is this for? AI engineers shipping agents to production Teams that suspect their agent fails but can't see where Developers tired of eyeballing transcripts instead of measuring them Anyone building with LangChain, LlamaIndex, CrewAI, or custom agent stacks Built by Future AGI | futureagi.com Open source. Apache 2.0 License. Self-hostable. #AIAgents #LLM #AIEvaluation #AIObservability #AgentTesting #FutureAGI #LLMOps #AISimulation #PromptEngineering #OpenSource