We help product teams create, test, and ship AI experiences. Beyond demos - real products, in production, serving customers. Make It Real with Runtype.

San Francisco
Joined February 2026
The worst agent failures don't always throw errors. We're building Runtype Trace Signals with @Cloudflare's Clairic + Clef Flash to find frustration and unanswered questions. The goal: analyze every trace, at scale, without breaking the bank. runtype.com/changelog/trace-…
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Stop asking a chat model to read your invoices. Put @Cloudflare's new Clairic to work in Runtype flows: extract typed fields, branch on confidence, and save the results. No generated tokens. Now with an Extract Fields step. runtype.com/changelog/clairi…
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Putting an AI agent behind an @mention in Slack doesn't solve the noise problem. It just moves the routing work onto your team. Someone still has to notice a message matters, remember which bot handles it, and tag it in. Here's how we're using Jev and small decision models to move beyond the @mention: runtype.com/blog/jev-in-the-…
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Work across Runtype organizations without logging out. The CLI keeps multiple accounts, links each project to the right one, and uses your OS keychain where available. A linked project will not silently run under another org. runtype.com/changelog/cli-mu…
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Use decision models for structured questions about text or JSON. Discover models, publish a question-set version, and run it through the API, SDK, or MCP, with per-question refusals preserved. Dashboard authoring is a separate rollout. runtype.com/changelog/decisi…
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Let a mid-run message find the right place. Opt-in auto routing can steer a durable agent with a correction or queue a separate task for later. If the classifier cannot decide, the message queues instead of being dropped. runtype.com/changelog/automa…
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Connect custom models that speak the OpenAI Responses API. Choose Responses or Chat Completions in your inference connection, including from the dashboard. Existing connections keep their current format. runtype.com/changelog/custom…
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Ask why an agent run behaved that way, then inspect the evidence. Explain this run separates observations, possible causes, and next steps, with citations into the trace. You choose whether to act on the explanation. runtype.com/changelog/explai…
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Keep more of your AI product in source control. Pull deployed definitions, preview changes, and fail CI on drift. Expanded CLI support and Python/Ruby ensure helpers cover flows, tools, surfaces, products, skills, and evals. runtype.com/changelog/config…
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Test the same agent as different users and tenants. Eval cases can now carry their own identity, with suite defaults when you need them. Check personalized behavior and identity-aware tools before your users do. runtype.com/changelog/evals-…
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Let your APIs verify who an agent is acting for. Runtype can send a signed, short-lived user and tenant identity token to your tools. The model cannot choose the identity, and your service keeps control of authorization. runtype.com/changelog/verifi…
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Bring your existing agent into Runtype without rebuilding it. Connect a compatible A2A endpoint, or use a local CLI listener during development. Keep your framework; use a public endpoint for channels and scheduled runs. runtype.com/changelog/connec…
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Require zero data retention for model inference across your workspace. Runtype uses eligible routes and refuses unsupported ones. An admin controls the policy in Settings > Models; your Runtype log and record retention stays separate. runtype.com/changelog/worksp…
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Take a versioned agent to your own infrastructure. Export its definition, bound skills, and prebuilt Runtype runtime in one bundle, with a manifest and file hashes. Available with Enterprise self-hosting. runtype.com/changelog/agent-…
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See what your agent actually sent to the model. Explore context block by block, compare requests across a run, and inspect captured text alongside token estimates and cache coverage. Your logging and privacy settings still apply. runtype.com/changelog/inspec…
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Run Claude Code or Codex inside your agent's Linux sandbox. Both come preinstalled, with managed inference and no provider keys to copy into the container. Your organization's model-key policy still applies. runtype.com/changelog/claude…
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Last night our CPO @Runtypical joined @Cloudflare and @stripe at Cloudflare's SF HQ to talk about selling to agents. The room was full of tech leaders, startup founders, and retailers. 🧵
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Coming soon: a free template of the eval harness we built to continuously test our own AI onboarding, so any team can use it. Follow along so you don't miss it.
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Hugo Buret from Stripe showed Stripe Projects buying products and services end-to-end in Muse. He also made the case that agents call today's business and pricing models into question: "Agents get a budget, not a subscription."
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@mgamache from Cloudflare showed agent-first trials. She also covered the tools Cloudflare gives app builders and site owners to keep the internet a level playing field as automation pushes traffic up 10x. Some of that traffic is good, some is harmful.
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Nathan walked through each version of our agent-first onboarding: what worked, what failed, and what's coming next.
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