Sunil Govindan (@sunilgovind) profile picture

Building next gen AI Agent Solution; @TheASF member; Gen AI & LLM; Apache YuniKorn Committer and PMC member; Geek + Programmer; Music Lover

Santa Clara
Joined January 2010
Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)Photo by Sunil Govindan (@sunilgovind)
Replying to @t3rmin4t0r
@t3rmin4t0r shared a killer blog. Most teams pick a model once, get lucky, and call it architecture. Then it regresses, and nobody knows how to test the migration. The harness matters more than the pick. Are the Chinese models good now? @isotopes_ai isotopes.ai/blog/are-the-chi…
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Sunil Govindan retweeted
We moved parts of @isotopes_ai from Luna to Jev: 2-5× lower latency in production and better accuracy on our checks. We tested @typesafeai Jev, OpenAI Decision API and Microsoft Decision 1 in a multi-stage workflow. isotopes.ai/blog/decision-mo…
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Sunil Govindan retweeted
Happy to see this got mentioned in @duckdb blog. duckdb.org/2026/09/29/jev?ut…
I built a native DuckDB extension for TypeSafe Jev: vectorized input, batching, bounded concurrency, dedup and cross-query TTL/LRU caching. Live synthetic Choice run: 2,049 rows in 0.887s—2.3K rows/sec. Cached replay: 28.6ms, zero API calls. github.com/prasanthj/duckdb-…
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Sunil Govindan retweeted
I built a native DuckDB extension for TypeSafe Jev: vectorized input, batching, bounded concurrency, dedup and cross-query TTL/LRU caching. Live synthetic Choice run: 2,049 rows in 0.887s—2.3K rows/sec. Cached replay: 28.6ms, zero API calls. github.com/prasanthj/duckdb-…
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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Sunil Govindan retweeted
Haven’t been this excited about AI since ChatGPT launched. Been building with Jev, and it’s opening up so many ideas. If you’re building with constrained outputs (routing, classification, guardrails) - take a look. What a time to build! More coming soon 👀
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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Over the last 1.5 years, every switch has followed same pattern: Copilot → Cursor → Claude → Codex About a month with both tools open, until I slowly stop reaching for old one. I’m reaching that point with Codex now. Maybe that’s the real benchmark: the tool you stop opening
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Sunil Govindan retweeted
Open weights are having a moment. Better models, cleaner licenses, more ways to tune and serve. Exploring Inkling @thinkymachines for a focused loop in Neocortex raised a simple question. Do you really get the same experience? isotopes.ai/blog/everyone-is…
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Sunil Govindan retweeted
The 50% discount on Tinker for Inkling 256k is extremely tempting.
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Sunil Govindan retweeted
A story written in grit rewarded with the @aramco #T20WorldCup Player of the Tournament for Sanju Samson 🌟
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Winning @icc cricket trophy is just an amazing feeling! SanjuSamson, you rock !!! player of the match!
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Sunil Govindan retweeted
Most AI products give you a chatbot. You ask, it answers. But that doesn’t work for serious analytical work. Your team doesn't watch every step. They start an analysis, go to meetings, come back the next day. Colleagues need to understand what happened. Sometimes you need to rewind and try a different path. A chatbot can't do any of that. So we threw out the chatbot model and rebuilt around one idea: the event stream. Every action aidnn takes is emitted as a structured, ordered event. That single decision unlocks everything: → Teammates jump in, ask questions anchored to specific moments, and keep going → Close your laptop, come back tomorrow — zero lost progress → Branch from any checkpoint and compare results → See assumptions and reasoning before execution, not after The result feels less like querying a black box and more like working with a teammate who documents their work and can be reviewed for methods, not just results. Full breakdown on the @isotopes_ai blog: blog.isotopes.ai/building-a-…
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Sunil Govindan retweeted
Getting phenomenal feedback, and resonance, from the Isotopes AI "Team of Rivals" technical paper published in arXiv. Here is the summary from DAIR.AI: "The paper introduces the idea of organizational intelligence for AI: → 50+ specialized agents organized into teams (planners, executors, critics, experts) → Hierarchical veto authority; critics can reject outputs entirely, triggering internal retry → Pre-declared acceptance criteria established before any work begins → Remote code execution keeps raw data separate from reasoning context → Different model providers for writers vs critics to avoid monoculture It turns out that coherence emerges from opposing forces. Planners push for clarity, executors push for pragmatism, and critics push for correctness. Their conflicting incentives create boundaries that prevent drift in the system." lnkd.in/gZ9hR3yQ It's great to see how this idea is intuitively resonating with many folks - for this is the best way to make reliably accurate, and consistent, multi-agent systems for production. Needless to say, we are excited to actually have this in production *today* unlike anyone else! Head over to isotopes.ai/signup to try it out! Meanwhile, geek out on actual production traces of multiple analysis with multiple teams of agents... each blue box is an sub-agent and the sequence diagram represents the interaction between them.
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Sunil Govindan retweeted
We just published our latest whitepaper "The Orchestration Imperative for AI Agents" and this one is especially interesting for leaders who want to learn about the next evolution of AI. Here's the core insight: Production-grade AI Agents aren't a chatbot problem. They are an orchestration problem. Most multi-agent AI systems fail for predictable reasons—coordination overhead scales nonlinearly, context gets contaminated and rots progressively, and debugging becomes impossible. We've watched teams spend months building "agentic" solutions only to hit these walls. This whitepaper distills the principles @isotopes_ai uses to make sophisticated AI agents work in production: structured workflows, plans as contracts, hierarchy that tames complexity, and humans owning the "what" while the system handles the "how", and more. If you're evaluating any agentic AI for your business - or building one - this is definitely worth a read! Get the whitepaper to learn more → isotopes.ai/whitepapers/orch…
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Me trying to do a quick task with vibe coding and accidentally vibe coding 5 dev tools...
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Sunil Govindan retweeted
With aidnn, the AI agent for analytics from @isotopes_ai, with multi-player capability from day one: → Share notebooks so anyone on your team can collaborate on analyses → Track a shared, and auditable, history of past methods and numbers → Branch a teammate's analysis to explore related scenarios → Enable shared context across teams for alignment with Organizational Memory → Continuously improve Organizational Memory with collective feedback Check it out: isotopes.ai/signup
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Sunil Govindan retweeted
It's been an absolutely epic 72 hours post launch... incredible momentum! So, thankful! nitter.cf/isotopes_ai/status/196…
Overwhelmed by the reception, thank you for all the kindness and love! Here is a quick tour of aidnn and the awesomeness there-in: youtu.be/8pz7Zi0Id_M Interested in more action? See the demos: isotopes.ai/#demos
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Sunil Govindan retweeted
Ooo...emmm...jeee! So, thankful - We are overwhelmed with the feedback for aidnn and the love showered on the team and the product! isotopes.ai/#demos has a bunch of demos you can click thorugh to get a sense of how aidnn fits in as a "co-worker" and the complex tasks aidnn can handle.
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Sunil Govindan retweeted
🧵0/ Excited to be back, with @isotopes_ai! 🚀 isotopes.ai/ I just couldn't keep away - it's such an incredible time to be in technology and to be building! The velocity is as addictive as it's accelerating, and so much fun to get so much done with so little! As it goes: I've had, the time of my life, so far in 2025 building aidnn, our AI agent/product! Looking forward to many more! On a personal note, I'll start with a note of gratitude. I couldn't be more thankful to hang with my co-founders @prasanth_j and @t3rmin4t0r; and the rest of very small - yet very mighty - team through this period. 🥳 Hugely indebted to the individuals and design partners - several of whom are now customers - for choosing to believe in us, and providing us the invaluable gift of their patience and feedback! 🙏 A huge amount of gratitude to our amazing investors who shared in, and backed our vision: Vab/Fay, Alex L and the entire posse of our guardian angels. Here is @Julie188 covering our launch on @TechCrunch: techcrunch.com/2025/09/05/sc…
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