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Future AGI September Roundup

Future AGI September Roundup

Future AGI September Roundup

Future AGI September Roundup

Future AGI September Roundup

Future AGI September Roundup

Future AGI September Roundup

Last Updated

Sep 30, 2025

Sep 30, 2025

Sep 30, 2025

Sep 30, 2025

Sep 30, 2025

Sep 30, 2025

Sep 30, 2025

Sep 30, 2025

By

Rishav Hada
Rishav Hada
Rishav Hada

Time to read

12 mins

Table of Contents

TABLE OF CONTENTS

Hero of the Month: Agent Compass 🧭

Agent Compass helps you debug complex multi-agent systems in minutes without having to manually write or tune evals.

It shows where your AI agents go off track, clusters failure patterns across agents, tools, and releases, provides evidence-led root causes, and gives clear steps to fix issues faster, all with just 4 lines of code. With debugging time cut by 98%, teams can now ship reliable agents 10x faster.

🔗 Check out the integration, click here.

📃 Read the science behind Agent Compass!


🚀 More Product Updates

Find us on AWS Marketplace

Future AGI is now available on AWS Marketplace. Enterprise teams can deploy our platform directly within their existing AWS ecosystem.

This means:

  • Eliminate procurement delays

  • Integrate with existing AWS contracts and billing

  • Scale AI securely within your cloud environment

  • Leverage familiar governance and compliance controls

🔗 Click here to explore Future AGI on AWS Marketplace.

Reusable Prompts for Teams

Managing prompts across teams no longer means scattered spreadsheets and duplicated work. Organize prompts by project or use case with a clear folder structure, and turn proven prompts into reusable templates for consistency.

Key features:

  • Shared libraries and real-time collaboration in one centralized place

  • Reusable templates that ensure predictable outputs at scale

No more juggling offline documents or version conflicts. Teams stay organized, work efficiently, and ship reliable AI agents faster.

👉 Try Prompt Templates in Future AGI.

RBAC – Secure Collaboration for Enterprise Teams

Shared access without control can lead to leaks, mistakes, and compliance risks. Role-Based Access Control lets you:

  • Protect sensitive data and workflows

  • Manage who can edit agents, datasets, and experiments

  • Enable multiple teams to collaborate without conflict

Built for enterprise teams who need secure, scalable, and efficient AI operations, not just basic permissions.

👉 Use Future AGI App for secure enterprise collaboration!


🌐 Knowledge Nuggets

Free eBook - Agentic RAG for Enterprises

Around 90% of RAG implementations fail in production because teams move directly from theory to deployment without a validated framework. Our playbook provides proven guidance on chunking strategies, implementation methodology, hallucination prevention, ROI optimization, and other best practices used by successful teams at scale.

🔗 Get your free copy here

Presented Future AGI Globally at AI Conference 2025

Our team had a fantastic time connecting with founders, researchers, and builders at the AI Conference in SF. It was a great opportunity to showcase Future AGI and capture ‘WOW’ moments, exchange ideas, and learn from the community. Huge thanks to everyone who stopped by our booth and to our event squad- Nikhil, Charu, Vrinda, and Sara!

Accelerate AI : New Episode Drop

In this episode, Aakriti Bhargava (VP of AI Engineering at Revionics) joins Nikhil Pareek to discuss the challenges of taming 500K+ multi-agent models, preventing compounded hallucinations, and building reliable systems at scale. 

Also, pro-tip: More agents ≠ more brains, just more headaches.

🔗 Watch the podcast here!

October is here and AI is becoming more reliable and practical every day. 

Got an AI challenge? Consider this your open invite to vent, tell us in DMs what challenges are you tackling and let’s see how we can crack it, together.

🗓️ Schedule a call or book a free demo of our platform!

Your partner in building Trustworthy AI!

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Table of Contents

Rishav Hada is an Applied Scientist at Future AGI, specializing in AI evaluation and observability. Previously at Microsoft Research, he built frameworks for generative AI evaluation and multilingual language technologies. His research, funded by Twitter and Meta, has been published in top AI conferences and earned the Best Paper Award at FAccT’24.

Rishav Hada is an Applied Scientist at Future AGI, specializing in AI evaluation and observability. Previously at Microsoft Research, he built frameworks for generative AI evaluation and multilingual language technologies. His research, funded by Twitter and Meta, has been published in top AI conferences and earned the Best Paper Award at FAccT’24.

Rishav Hada is an Applied Scientist at Future AGI, specializing in AI evaluation and observability. Previously at Microsoft Research, he built frameworks for generative AI evaluation and multilingual language technologies. His research, funded by Twitter and Meta, has been published in top AI conferences and earned the Best Paper Award at FAccT’24.

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