Chalk

The platform for production AI

[RISHI @rkundy]

@chalk i dont live in nyc, but we are in TIMES SQUARE too

[Chalk @chalk]

https://t.co/WpS3qJ8vw3

[Chalk @chalk]

How do you build agents that do real work, and where do they fit in your stack?

This fall, we shipped six launches to answer both: agents that control their models and tools, built into your dev workflow.

Full recap at link below.

[Chalk @chalk]

Spotted in the wild 👀

[RISHI @rkundy]

omg its real its real its real. @chalk is live all across SF!!!!! we had some fun with it

[Chalk @chalk]

Watch the webinar: https://t.co/ElZBJBLqt6

[Chalk @chalk]

Your agent works in dev. Then it ships and runs into things dev never saw.

Getting those lessons back into development is hard when dev and prod run on different data and definitions.

In our on-demand webinar, Chalk co-founder @marx_elliot breaks down how a context layer closes the loop, so what you test is what you ship.

Watch the clip and find the full webinar video at the link below.

[Chalk @chalk]

Building Agents with Chalk at HackHarvard: https://t.co/siW0Tjsg9w

[Chalk @chalk]

What can a bunch of students build when you give them access to Chalk and 36 hours?

This past weekend at @Hack_Harvard, we challenged students to create a data-driven agent built with Chalk, and prove that it works. The results blew us away.

Here’s a look at how teams used parts of Chalk:

Sandboxes: Trace, our winner, ran its wildfire and storm-surge alert loop 24/7 in a Chalk sandbox. Sandboxes hosted its web app and its text-and-call service.

Model Gateway: FEEL, our runner-up, sent camera frames to a vision model through a locked-down key: two models, prompt logging off.

Scaling groups: Rubber Ducky’s AI math tutor demo ran live on a Chalk scaling group.

Resolvers: Antibody hosted its security orchestrator on one and scored live requests with Chalk resolvers.

Online and offline queries: FEEL used a Chalk online query that plans a walking path from the current scan plus past trips through the same building and turned each visit into a room-map feature kept for 60 days.

Thank you again to HackHarvard and to every team that built on Chalk.

A full recap of the event and our winners, with architecture details for each build, is below.

[Chalk @chalk]

We're in Cambridge this weekend to sponsor @HackHarvard's “Hack to the Moon" event.

Our challenge: the Best Data-Driven Agent Built on Chalk. We're looking for the most interesting agents that use data for decisions, built with Chalk infrastructure like agent sandboxes, gateways, dataset integration, and evals.

Teams are already moving fast. By Saturday morning, hackers had spun up more than 100 scaling groups on Chalk.

What’s up for grabs in our prizes: $1,500+ in Apple Store credits, Chalk swag, and interviews for our new grad roles.

If you’re here, come find us at the Chalk booth before submissions close Sunday morning. We can’t wait to see what everyone ships.

[Chalk @chalk]

Watch Episode 1 here: https://t.co/sIhhPGXjtX

[Chalk @chalk]

Agents now access sensitive APIs, ship code, and run for days without a human checking each step.

Knowing they're secure, doing the right thing, and not overwhelming your systems is the hard part.

In Part 1 of the first Chalk Talk, our co-founder @Derander sits down with @NancyZWang, CTO of @1Password, to talk through running agents in production. They discuss:

→ Securing agents, starting with identity
→ Writing evals that show whether an agent actually did the right thing
→ What agent traffic is doing to infrastructure

Thanks to Nancy for the great conversation. Part 1 is below.

[Chalk @chalk]

Agents today are writing code, running multi-day workflows and getting access to production systems. The questions that matter now are practical ones.

How do you secure an agent? How do you know it's doing the right thing? And can your infrastructure keep up?

We discuss all this and more in our new series, Chalk Talk, where we sit down with top leaders in AI and discuss how it’s changing businesses and what it truly takes to run agents in production.

In our first episode, Chalk co-founder @Derander sits down with @NancyZWang , CTO of @1Password. They cover:

1/ Securing agents in production
2/ Writing evals that show whether an agent is doing the right thing
3/ What agent traffic is doing to infrastructure
4/ Why enterprises are keeping their models and data in-house
5/ Why formal methods are suddenly relevant again

Watch the trailer below. The full episode drops Wednesday, October 7th.

Thank you to Nancy for joining us, and we can’t wait for everyone to see the full conversation.

[Chalk @chalk]

@AIconference Chalk at The AI Confernce: https://t.co/fBMqsqFCzd

[Chalk @chalk]

Day 1 of @AIconference is live, and the exhibit floor is already buzzing.

Come find us at Booth 262, grab our latest swag, and see if you can solve our new math proof competition.

Plus, we're giving away a Nintendo Switch 2 to one lucky booth visitor.

Tomorrow, Theater 2 is the place to be. At 1pm PT our co-founder @marx_elliot takes the stage with "Two Halves of Inference to Build, Eval & Run Agents".

More details below. See you on the floor.

[Chalk @chalk]

Great piece from @StackObserver about Chalk Notebooks and why production ML needs agent-aware infrastructure.

"The release frames a question that is becoming central to production AI infrastructure: when an agent can write code, query production data, and retrain models, where does the boundary between agent investigation and human decision-making actually sit?"

Full article here: https://t.co/Aj9P4ewFYb

[Niamh O' Donnell 🌉 @thatniamhod]

September’s @Unusual_VC newsletter is out. This month:

• Personal AI agents take off as Instinct and @Muse gain traction
• @Anthropic releases Claude Fable 5.1 and Mythos 5.1, with upgrades across coding, agents and knowledge work
• @OpenAI launches GPT-6 Astra, its most capable model yet
• @Chalk introduces its MCP Server and Assistant for production ML
• @Resolveai brings production context to coding agents
• AI leaders call for tools to “pace the frontier”

For more on enterprise AI and the unusual corners of it, subscribe: https://t.co/ZGGDy849Sv

[Chalk @chalk]

Your recruiters may be cool, but are they "created today's @nytimes crossword puzzle" cool?

Our own Dana Edwards is a man of many talents.

[Chalk @chalk]

Meet with us: https://t.co/fBMqsqFCzd

[Chalk @chalk]

Next week is @AIconference and the Chalk team is ready to show up big.

Our co-founder @marx_elliot will be presenting "Two Halves of Inference to Build, Eval & Run Agents" on 10/1 at 1pm PT. If you struggle with stale data and evals that can’t predict production performance, this is the talk for you.

Plus, the Chalk team will be hanging out on the exhibit floor throughout the conference. Stop by Booth 262 to chat with our FDEs, catch live demos, and grab some of our latest Chalk swag.

Schedule time with us in advance by visiting the link below. 👇

[Chalk @chalk]

We've been cooking up so many new products lately that we had to update our swag.