Newsroom
Why We Post-Trained Our Own Reasoning Model
A general model reasons about a refund policy the same way it reasons about a physics problem. So we trained one specifically for enterprise work.
Jayesh's latest articles
Newsroom
How We Cut Inference Spend by Right-Sizing Our Models
Most enterprise work needs the right intelligence for each job — not the most intelligence for all of them.
Blog
Agent Script: The Control Plane for Agentic Decisions
A language built for humans and the coding agents that help them
Newsroom
From Coders to Crafters: The New Identity of Developers in the Agentic Enterprise
Key Takeaways There’s a narrative that autonomous, self-supporting AI agents will eventually build themselves, putting developers out to pasture. Nothing could be further from the truth. Sure, companies can use one-shot, vibe-coded agents,…
Newsroom
The Changing Role of Developers in the Age of AI Agents
Anthropic CEO Dario Amodei recently predicted that AI will write 90% of code within six months and dominate nearly all coding within a year. While many worry this signals the replacement of developers,…
