Jeff Barg

Head of AI at Clay • prev (YC W21) @amazon @pennmandt

[Jeff Barg @jeffbarg]

Kirkland Ellis building an AI platform, while Harvey trains their own models, while Anthropic releases a legal plugin

[Jeff Barg @jeffbarg]

@Altimor @jaypatel Surprising!

[Jeff Barg @jeffbarg]

@eglyman Great move

[Jeff Barg @jeffbarg]

@JustinBleuel No "made with AI", must be real

[Jeff Barg @jeffbarg]

@pk_iv durable execution, BYOK, streaming, multi-turn conversations, optional persistence

[Jeff Barg @jeffbarg]

@OpenAIDevs https://t.co/k8GPGzTiyJ

[Jeff Barg @jeffbarg]

Clay is now available in Codex.

Sales Reps can prioritize accounts, research buyers, draft outreach, and send emails — all from OpenAI's coding agent, powered by the Functions your team already built in Clay.

It was great working with the @OpenAIDevs team on this!

[Jeff Barg @jeffbarg]

@itunpredictable Not too late!

[Jeff Barg @jeffbarg]

Surprised Retool didn’t pivot into RL environments

[Jeff Barg @jeffbarg]

@apoorva_mehta I wouldn’t characterize performance as plateauing, especially in software engineering. 5.5 was a pretty big step function up.

[Jeff Barg @jeffbarg]

@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.

[Jeff Barg @jeffbarg]

Testing out Claude Dyanmic Workflows - first run was > $1000

[Jeff Barg @jeffbarg]

As far as I can tell, there's no meaningful reason why this couldn't have been built on models from last year (e.g. Opus 4.5).

[Jeff Barg @jeffbarg]

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.

[Jeff Barg @jeffbarg]

@matanSF @maddiehfaulkner Small base thought I’d assume?

[Jeff Barg @jeffbarg]

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.

[Ronak Malde @rronak_]

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.

[Jeff Barg @jeffbarg]

@BecomingCritter new year new me

[Jeff Barg @jeffbarg]

@t_blom AI for Dentists sounds like a good idea honestly

[Jeff Barg @jeffbarg]

@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

[Jeff Barg @jeffbarg]

@WilliamBryk Congrats!