AI Agents

Stop Using Claude for Everything. The Real Power Move Is Knowing When Not To.

Most developers default to the strongest AI model for every coding subtask, bleeding compute budgets on work that doesn’t need frontier capability. The real leverage comes from a mixed approach: use a high-capability model like Claude for structural reasoning and orchestration, delegate routine coding to a cost-efficient model like GLM, and let an intelligent router decide what goes where. The weakest link isn’t your cheapest model — it’s your inability to route intelligently.

Markdown Is a Trap: Why Everyone’s Wrong About the ‘Universal’ Format for AI Agents

Everyone from Karpathy to Google to Tan says Markdown is the answer for AI agents. But they’re solving completely different problems. This article cuts through the false consensus and shows why Markdown’s flexibility is actually its biggest weakness — and how to avoid cargo-culting a solution that doesn’t fit your architecture.

The AI Audit Layer Nobody Is Talking About (But Should Be)

Most AI safety tools are built for billion-dollar corporations or demand PhD-level understanding. Panoptes is a lightweight, open-source audit layer that any team can drop into their production pipeline to enforce behavior constraints. It turns alignment from a theoretical problem into a practical governance decision—catching harmful outputs before they reach users.

The Pixar Formula That Broke AI’s Creativity Ceiling

A developer taught a coding agent Pixar’s story spine—and it wrote two illustrated books. This isn’t about whether AI can be creative. It’s about how encoding a specific human formula (Pixar’s emotional architecture) reveals that the real bottleneck is the quality of the patterns we feed it. For storytellers and developers alike, it’s a reckoning with what ‘originality’ means.

Your AI Is Brilliant. Your Automation Is Broken. Here’s the Real Problem.

A new benchmark, AutomationBench-AA, reveals a painful truth: the most intelligent AI models often fail at real-world automation tasks. It’s not about raw capability—it’s about execution reliability. If you’re building or buying AI-powered automation, this changes how you evaluate your tools and where you place your trust.

Stop Selling Software. Start Selling Labor. The AI Agent Playbook That Actually Works.

Forget selling software. AI agents are replacing entire job functions, and the most successful founders start by watching real workers, not writing code. This framework reveals how to find a high-value workflow, build a minimum viable agent, and sell labor instead of a tool — with a 30-day roadmap to your first paying customer.