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Practical prompt engineering -- every post includes real prompts you can copy and adapt.

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Mar 28, 2026 •7 min

Writing Incident Response Prompts That Actually Speed Up Triage

Pre-built prompt templates for log analysis, IOC extraction, and timeline reconstruction

incident response

Mar 28, 2026 •8 min

Prompt Injection Testing for Production Apps: A Red Team Playbook

16 injection techniques to test before your users find them first

prompt injection

Mar 28, 2026 •6 min

Feedback Loop Prompting: Teach Your Agent to Critique and Retry Its Own Output

The inner-loop pattern that turns a single LLM call into an iterative refinement engine

agentic workflows

Mar 28, 2026 •6 min

Multi-Agent Handoff Prompts: How to Write Instructions That Transfer Context Between Agents

The system prompt architecture behind reliable agent-to-agent coordination

multi-agent prompting

Mar 28, 2026 •7 min

Designing Tool-Use Prompts That Don't Hallucinate Tool Calls

Why agents invoke wrong tools and the prompt structure that fixes it

agentic

Mar 28, 2026 •6 min

The Plan-and-Execute Pattern: Use a Frontier Model to Plan, a Cheap Model to Execute

Cut your agentic workflow costs by 90% without losing quality

agentic workflows

Mar 28, 2026 •6 min

Temperature Is Not a Creativity Dial: What Sampling Parameters Actually Do and When to Change Them

The real mental model for temperature, top-p, and top-k with evidence

temperature

Mar 28, 2026 •6 min

The Verification Prompt Pattern: Build Self-Checking Into Every LLM Call

One extra prompt turn that catches hallucinations before they ship

verification prompting

Mar 28, 2026 •6 min

Structured Output Prompting: Force Any LLM to Return Valid JSON Every Time

The schema-first prompting pattern that eliminates parsing failures

structured output

Mar 28, 2026 •6 min

Context Engineering Beats Prompt Engineering: How to Design Token Budgets That Actually Work

Stop optimizing words -- start optimizing what the model sees

context engineering

Mar 29, 2025 •2 min

Embedding-Rich Prompting

Embedding-rich prompting gives LLMs a memory — not by training, but by context injection.

Context

Mar 29, 2025 •2 min

Roleplay Reversal Prompting: Making the Model You

Roleplay reversal makes the AI the user. You become the machine. It’s one of the best ways to train, test, or simulate real-world usage — especially when you're prototyping LLM interfaces.

Creativity