
Multi-Model AI: Why Your Agents Should Use the Best Model for Each Task
No single AI model is best at everything. Learn how Yast routes tasks to GPT, Claude, Gemini, Deepseek, and Mistral for optimal results.
Yast is live: describe AI agents in plain English, connect your tools, and let them improve after every run.

Today we are announcing Yast, a platform for teams who want AI agents without writing code or maintaining brittle workflow diagrams.
Every conversation we had with operators and sales leaders came back to the same gap. Simple automations were easy, but anything that needed judgment, branching, or dozens of steps broke under traditional tools. Developer-first stacks were powerful and expensive to own. Yast sits in the middle: you describe what the agent should do in plain English, connect the tools you already use, and ship.
Yast agents plan and execute multi-step work across integrations, evaluate their own results against the goals you set, and get better over time. You can deploy where your team already works, from Slack and Teams to scheduled jobs and APIs.
We are grateful to the design partners who shaped this launch. This is day one, and we cannot wait to see what you build.

No single AI model is best at everything. Learn how Yast routes tasks to GPT, Claude, Gemini, Deepseek, and Mistral for optimal results.

Marketing teams spend hours building reports. Yast agents pull data from every source, generate analysis, and deliver polished reports automatically.

A detailed look at how Yast meets enterprise security requirements with SSO, SAML 2.0, directory sync, audit logs, and role-based access controls.
Describe what you need. Yast builds the agent, connects your tools, runs it on autopilot, and it gets smarter every time.
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