Nikhil, this is truly a game-changer for AI builders! The shift from manual QA to Critique Agents is a brilliant solution to a widespread issue in the industry. Automating error detection in real-time without relying on humans in the loop is exactly what AI teams need to scale efficiently and focus on innovation. The ability to set custom metrics tailored to specific needs makes Future AGI incredibly versatile. This will not only save teams time and resources but also prevent user drop-offs and escalations. Excited to see how Future AGI continues to shape the future of AI!

Nikhil, this is a transformative breakthrough for data-driven AI builders! Moving from reactive monitoring to predictive analytics with AI is a huge leap forward for businesses. The ability to proactively identify potential issues before they impact performance is exactly what companies need to stay ahead of the competition. With custom configurations and real-time insights, this solution empowers teams to make faster, more informed decisions. This approach not only saves costs but also enhances operational efficiency. Can’t wait to see how this innovation reshapes the industry landscape!

Future AGI replaces manual QA for AI models with Critique Agents, eliminating human-in-the-loop methods. Set custom metrics to fit your unique needs and detect errors faster. Reserve human effort for critical tasks and scale efficiently as inferences grow.

Product Hunt Launch: https://www.producthunt.com/posts/future-agi Video Demo: https://www.youtube.com/watch?v=fSkxrj6GN6k Interactive demo: https://app.supademo.com/demo/cm1544vzy00a0me0p60hwvhef Docs: https://docs.futureagi.com

I'm Nikhil, the Founder of Future AGI.

After working in the AI space for the past 8 years, I realised a significant challenge: maintaining model accuracy in production. The first hurdle is knowing what errors occurred, which usually requires human-in-the-loop reviews. Humans go through every input/output pair to detect errors. But by the time this process is completed, AI apps start facing user drops and customer escalations. And as models scale, this issue only worsens.

When I spoke to hundreds of AI builders, I found that this was a universal pain point. That’s why we created Future AGI.

Our Critique AI Agent helps detect errors in real-time, without humans in the loop. It provides AI teams with critical insights about errors, ensuring they get actionable data to improve accuracy. This frees up bandwidth and allows teams to focus on high-priority tasks.

Key benefits of Critique AI Agent: LLM as a judge can be unstable, but our Critique AI is reliable & deterministic. Set custom metrics in natural language to fit your specific use case. Detects errors in real-time without humans in the loop, saving time and costs. Ensures high accuracy and reliability as models scale, reducing the risk of user drops-offs. Gives AI teams peace of mind knowing no error goes undetected.

I hope you find Future AGI helpful. Please share your thoughts, experiences, and suggestions in the comments. Thank you for your support!

Great solution for AI Accuracy! Future AGI's Critique AI Agent could revolutionize model accuracy maintenance. I am sure AI team can save upto 10X time on their error-finding efforts. Most of these are manual, from what I hear in my circle.

Amazing idea to replaces manual QA for AI models with Critique Agents and eliminating human-in-the-loop methods. I believe this would provide high accuracy and reliability as models scale

Sounds good. AI product builders should use it to save time and focus on core work.