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It was great working with the @OpenAIDevs team on this!
@DBredvick Seemed ok! I had it add JSDocs to all undocumented functions in our codebase.
It was mostly just to try out the feature, I doubt we’ll actually merge.
I'm surprised it took Anthropic as long as it did to release something like dynamic workflows.
Many of the vertical AI companies (Clay included) learned a long time ago that there are many important problems that can be solved by scaling up compute by a few orders of magnitude.
Really excited to work closely with the team at Trajectory.
They've been hands-on & helping to drive our next evolution of Sculptor, the GTM engineering agent.
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.
We are a research lab and product company building the platform for Continual Learning.
Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs
We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.
We’re partnering with some of the best AI-native companies: @ClayRunHQ@Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with.
We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.
AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
@mitchellhynes Pretty straightforward to checkpoint after each turn and resume from a new worker?
It's non-trivial, but adding something like BullMQ or a storage layer seem way out of scope of what I'd expect of it