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Practical prompt engineering -- every post includes real prompts you can copy and adapt.
78 articles • Page 1 of 9
Meta's semi-formal reasoning template forces premises, traced paths, and a derived conclusion -- so you can see exactly where the model is bluffing.
The 'response bloat' tax quietly doubles your token bill. Here's the prompt pattern that keeps raw tool payloads out of the model's working memory.
You can't command next-token prediction into honesty, but you can engineer the conditions where it stops guessing.
The four standing prompts behind Boris Cherny's "loop engineering" -- find-work, do-work, verify, remember -- with copy-paste scaffolds and the guardrails that keep them from running rogue.
Diffusion models like Inception's new Mercury 2 refine the whole answer in parallel, so scaffold the output shape instead of nudging a linear reasoning chain.
BUILD 2026 made code-as-action a first-class pattern. Here's how to rewrite your tool-use prompts from "pick a tool" to "write code that calls the tools" and cut tokens 30-50%.
Google's migration guide quietly killed the majority-vote trick you've leaned on for years. Here's what replaces it.
Microsoft's new Handoff orchestration pattern proves the routing decision isn't architecture, it's a prompt. Here's how to write it so your agents don't deadlock or drop context.
The NoWait technique cuts chain-of-thought length 27-51% with zero accuracy loss -- here's how to apply it in Claude, GPT, and Gemini
