Tips, tutorials, and insights on prompt engineering for ChatGPT, Claude, Gemini, and more.
-0098.png&w=3840&q=75)
A practical, opinionated guide to using GenAI in real creative work-where intent evolves, outputs drift, and process beats prompting.
-0097.png&w=3840&q=75)
A practical guide to prompting Gemini for reliable results: iterative refinement, JSON contracts, adversarial review, multi-model critique, and tool loops.
-0096.png&w=3840&q=75)
A practical playbook to cut LLM hallucinations using grounding, verification loops, and refusal-by-default prompts.
-0095.png&w=3840&q=75)
A practical, evidence-backed playbook for getting more novel, surprising, and useful outputs from AI using structure, sampling, and evaluation.
-0094.png&w=3840&q=75)
A practical workflow for using LLMs as research assistants: plan, search, verify, synthesize, and keep an evidence trail you can trust.
-0093.png&w=3840&q=75)
A practical way to talk to AI models: specify intent, add constraints, invite clarifying questions, and iterate like you're debugging an API.
-0092.png&w=3840&q=75)
A practical way to write prompts that reliably produce sellable work-offers, proposals, research, and negotiation scripts-grounded in real prompt design research.
-0091.png&w=3840&q=75)
A practical, developer-friendly guide to writing image prompts with clear constraints, fewer surprises, and faster iteration.
-0090.png&w=3840&q=75)
A practical, model-agnostic way to prompt text-to-video so you get controllable shots, consistent subjects, and fewer rerolls.
-0089.png&w=3840&q=75)
A practical way to prompt Nano Banana for image generation and editing-without cargo-culting camera specs or fighting the model.
-0088.png&w=3840&q=75)
A practical, evidence-backed way to write prompts that ship: clear goals, strong context, tight output contracts, and an iterative loop.
-0087.png&w=3840&q=75)
A practical definition of "prompt" for developers-plus what actually belongs in one, why it works, and how to write prompts that don't fall apart.