Tips, tutorials, and insights on prompt engineering for ChatGPT, Claude, Gemini, and more.
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Temperature and top‑p both change how tokens are sampled-but in different ways. Here's how they reshape reliability, diversity, and failure modes.
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A practical prompting playbook to cut hallucinations: clarify, constrain, demand evidence, and force uncertainty-plus when to stop prompting and add retrieval.
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A practical, opinionated way to decide between prompting, fine-tuning, and the hybrid middle ground-without burning weeks on the wrong lever.
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Prompt injection is the #1 OWASP risk for LLM apps. Here's how it actually breaks agents-and the defenses that hold up in production.
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Anthropic built a one-prompt migration path from ChatGPT to Claude. Here is the exact prompt, how to use it, what transfers, and what gets lost.
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A practical prompt workflow for market research: scoping, sourcing, synthesizing, simulating, and stress-testing insights without fooling yourself.
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A 2026 career map for "prompt engineering": real job titles, compensation signals, and the skills that survive the hype cycle.
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A practical prompt library for support chatbots-triage, clarify, resolve, and escalate-grounded in LLM research and battle-tested patterns.
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A practical guide to turning prompts into reusable, testable workflow components-using templates, structured outputs, and orchestration patterns.
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A practical prompt playbook for scoping, scheduling, risk, and stakeholder comms-grounded in planning research and structured-output reliability.
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A practical, engineering-minded way to standardize, version, and evaluate prompts so your whole team can reuse what works.
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February's biggest shift: prompt engineering split into advanced techniques, visual AI prompting, and practical industry templates. Plus, context engineering officially replaced 'just write better prompts' as the default advice.