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Future AGI July Roundup

Future AGI July Roundup

Future AGI July Roundup

Future AGI July Roundup

Future AGI July Roundup

Future AGI July Roundup

Future AGI July Roundup

Last Updated

Jul 31, 2025

Jul 31, 2025

Jul 31, 2025

Jul 31, 2025

Jul 31, 2025

Jul 31, 2025

Jul 31, 2025

Jul 31, 2025

By

Rishav Hada
Rishav Hada
Rishav Hada

Time to read

11 mins

Table of Contents

TABLE OF CONTENTS

🌐 To the community

Thank you for your support

We shared the launch of our open-source eval library in our last release notes, and your response has been incredible. A heartfelt thank you to everyone who took the time to explore the repo, submit issues, and contribute improvements. Your support and early contributions are helping us build a stronger, more collaborative evaluation ecosystem together.

👉 Check out the Github repo here!


✅ Product Updates

User Feedback Integration

Have you integrated user feedback directly into your AI workflows?We just supercharged your LLM observability with real user feedback integration because what good is AI if it doesn't learn from the people using it? You can now annotate spans with Real User Feedback using our SDK.

What it does: 

📝 Programmatically annotate spans through our SDK.

👍 Capture user feedback (thumbs up/down, ratings, custom signals). See which AI workflow consistently got negative feedback 

🏷️ Tag critical moments based on actual user behavior. Your app tells you exactly where things went wrong and identifies specific model behaviors that correlated with user drop-offs

👉Check out- here!


Visualize Every Agent Run with Vercel AI SDK Tracing

Building with Vercel AI SDK? Now get full stack visibility into every step of your agent's execution – inputs, outputs, prompts, latency and token usage in structured traces. Instantly spot where latency spiked, which prompt underperformed, or when costs ballooned.

Native integration means no new pipelines, if you're using the SDK, you're already set up. Plus, our evals and guardrails plug directly in, giving production teams the debugging power they need without sacrificing velocity.

👉 Visualize Agent Runs now, click here to get started!


Langfuse Integration + Future AGI Evals

We released a platform-agnostic integration that brings evaluation magic right to your Langfuse dashboard. Hallucination detection, Groundedness scoring, Behavior monitoring- all dropping directly into your existing setup. Teams have saved 45+ engineering hours by bringing the power of multimodal evaluation and enterprise grade guardrails to their app straight away.

👉 Learn more about this integration!


🌐 Knowledge nuggets

Webinar on GenAI x Cybersec

AI isn't a security risk. Your outdated defense strategy is.

Watch this webinar to see exactly how GenAI and autonomous systems are revolutionizing threat detection and response. From basic AI security fundamentals to advanced agent-driven defense mechanisms, with real-world case studies- everything’s covered.

👉 Watch or save for later - click here!


🎙️Accelerate AI : New Episode Drop 

Hot take: Most AI isn't ready for the real world. Hotter take: Utsav's is.

This episode cuts through the "AI will save everything" rant and gets real about mission-critical deployments. Where downtime isn't measured in dollars, but in lives.

Warning: Contains actual engineering wisdom. Side effects include reconsidering your entire architecture.

👉Dare to see? Play or save for later-  https://www.youtube.com/watch?v=6XhHQ4zSRvM&list=PLWEg9gQzatkFtCzD0L-Qw1XlhJerzej-J 


🚩 Hiring Alert

Dear overqualified human stuck in an underachieving role, Future AGI here. 

We're about to make you an offer you should refuse (if you enjoy easy).

We're building AI that doesn't hallucinate, crash, or embarrass you in production. We solve problems Google gave up on. Ship features that make VCs text us at midnight. Build the future while everyone else is still debating it.Fair warning: You'll work harder than ever. You'll also matter more than ever.

👇 The roles of a lifetime await 👇

VP, Sales (SF & NY)

Think you can sell cutting-edge AI better than anyone else in the room? Great, because we’re looking for a Vice President of Sales to lead our revenue game, charm the suits, and scale with speed in a market that’s changing faster than a GPT model's context window.

  • 8+ years crushing quotas

  • GenAI fluency required

  • Ability to make CEOs return your calls (it’s a tough one)

Senior Data Scientist (SF)

We're building towards AGI, and need someone who doesn’t flinch at the words "model optimization" or "evaluation frameworks." You’ll be part of the team making our AI smarter, faster, and slightly less chaotic.

What we need:

  • 5+ years in ML/AI trenches

  • PyTorch/TensorFlow wizard

  • Ability to ship models, that actually work

ML Intern (IND)

This isn’t a coffee-fetching kind of internship. You’ll work on actual AI systems, contribute to model evaluation pipelines, and process data at scale, because we trust interns who reason like engineers and code like crazy.

What we need:

  • Currently pursuing CS, ML, or related degree

  • Strong Python fundamentals and familiarity with ML libraries

  • PhD in GSD (Getting Stuff Done)

📩 Drop in your resumes at jobs@futureagi.com or better,  show off your real projects and surprise us.


Curious about Future AGI or have questions about our platform? Our founders love chatting with fellow builders and exploring new possibilities in the AI space.

🗓️ Schedule a call with Nikhil and let’s know each other better!

Your partner in building Trustworthy AI!

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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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