Blog
Tips, tutorials, and insights on prompt engineering for ChatGPT, Claude, Gemini, and more.
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How to Write Prompts for Sora 2: The Spec That Turns "Cool Video" Into Something You Can Ship
A practical, developer-minded way to prompt Sora 2: treat prompts like specs, lock constraints early, iterate in layers, and avoid the usual drift.
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How to Write Prompts for Veo 3: A Developer's Playbook for Getting the Shot You Actually Want
Veo 3 prompting isn't poetry-it's spec-writing. Here's how I structure prompts to control subject, camera, motion, and style reliably.
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How to Write Video Prompts That Actually Direct the Camera (Not Just Describe a Vibe)
A practical, opinionated framework for writing text-to-video prompts: story beats, shot specs, motion rules, and iteration loops.
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What Is Prompt Engineering? A Practical Definition (and Why It's Not Just "Asking Nicely")
Prompt engineering is the craft of designing inputs, constraints, and feedback loops so LLMs behave reliably. Here's what it is and how it works.
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What Is Prompt Engineering? A Practical Definition (and Why It's Not Just "Writing Better Prompts")
Prompt engineering is the discipline of designing, testing, and maintaining prompts as interfaces to LLM behavior-like programming, but in natural language.
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AI prompts vs. generative AI prompts: the difference that actually changes your outputs
Most "AI prompts" are requests. Generative AI prompts are specs. Here's how to think about the difference and write both types on purpose.
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Chain-of-Thought Prompting in 2026: When "Think Step by Step" Helps (and When It Backfires)
A practical, opinionated guide to chain-of-thought prompting-why it works, where it fails, and how to use it without getting fooled.
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How to Write Prompts for ChatGPT: The Only Structure I Use (and Why It Works)
A practical, developer-friendly way to write ChatGPT prompts that stay on-task, reduce drift, and produce usable outputs.
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From 'write me the math' to 'run it locally': AI tooling is getting painfully practical
This week's AI news is about shipping: turning plain English into optimization models, Claude-style local APIs, and benchmarks that punish agent demos.
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Amazon Bedrock quietly turns RAG into a multimodal search engine
Bedrock Knowledge Bases now retrieves across text, images, audio, and video-pushing enterprise RAG closer to "search everything" products.
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AI Agents Are Getting a Supply Chain: Vercel "Skills," Context Graphs, and Self-Grading RAG
This week's AI story isn't just new models-it's new plumbing for agents: packaged skills, auditable context, and systems that check their own work.
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The Week AI Got Practical: Better Metrics, Faster Voice Agents, and Local Coding Models That Actually Ship
From MIT's push for sharper evaluation to streaming voice latency budgets and new local coding LLMs, AI is getting less flashy and more usable.