I’m speaking at #KubeCon + #CloudNativeCon North America! Check out my session, titled "Migrating Hybrid Big Data Platforms at Scale to Kubernetes". Register NOW! https://t.co/oWg5JzNqt6. Schedule: https://t.co/OJWF4SA4ag.
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:
https://t.co/qZvahHMN8S
Getting phenomenal feedback, and resonance, from the Isotopes AI "Team of Rivals" technical paper published in arXiv.
Here is the summary from https://t.co/dCuE78dfBU:
"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."
https://t.co/zYzHN06aVV
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 https://t.co/tGcs21LcBv 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.
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 → https://t.co/kfTKkYo7Ff
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: https://t.co/tGcs21LcBv
@acmurthy@far33d@a16z@isotopes_ai Correct, Early adopters of AI 2.0 are building organizational muscle memory competitors won’t have.
When single-player AI tools finally add collaboration in 12–18 months, these teams will already be years ahead operationally.
That advantage compounds fast.
Ooo...emmm...jeee!
So, thankful - We are overwhelmed with the feedback for aidnn and the love showered on the team and the product!
https://t.co/9ZXEjpBpNR 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.
Excited to share the launch of @isotopes_ai and our first product aidnn, shaped by the idea of “decisions, not duals”
The best part? Building again with colleagues and friends I’ve known for years. Excited for what’s ahead!
🧵0/ Excited to be back, with @isotopes_ai! 🚀
https://t.co/QOFtRvMODO
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:
https://t.co/cbgasR6iOW
🚀 Coming soon: https://t.co/k8K278ZGST Team Edition on the @SnowflakeDB Marketplace! With enterprise AI agents, teams can finally move beyond proofs of concept and put AI to work where their data already lives. 🧵👇
Join us Dec 5, 10 AM PT for the next session of our https://t.co/k8K2790eIr webinar series! Dive deeper into our platform with live demos and insights! https://t.co/YlZrp1ifjM
Big launch news from https://t.co/k8K2790eIr! Our Enterprise AI Agent Platform is here—a groundbreaking solution empowering businesses to build and manage AI agents at scale. Transform productivity and revolutionize work. Explore our launch blog: https://t.co/S2bd9WbMug