news, tips, and reviews that make thinking machines useful
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Everything we’ve published under AI Workflows so far.
OpenAI says GPT-5.5 is faster and better at complex coding, research, and data analysis. The useful question is not whether it sounds smarter, but whether teams can hand it longer, messier jobs without hovering.
OpenAI’s agent-building tools include tracing and inspection for workflow execution. That sounds technical, but the workplace takeaway is simple: if an agent acts for a team, the team needs to see what it did.
OpenAI’s 2026 deep research update adds MCP and app connections, trusted-site limits, progress tracking, and interrupts. That turns research prompting into something closer to a repeatable team process.
Zapier’s 2026 automation preview points toward agents, orchestration, MCP, and human-in-the-loop workflows. The trick is not removing people from the process. It is putting them in the right place.
Anthropic made Claude 3.7 Sonnet a hybrid reasoning model instead of a separate thinking product. Good. Users do not want a model menu with homework. They want control when the task deserves it.
Microsoft’s Frontier Firm frame is useful, but the first move for most teams is smaller: decide where agents can help, who checks the work, and what never runs on autopilot.