AI playbooks & articles
Step-by-step workflows, comparisons, and examples. Choose a topic, try the steps, and check your result.
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109 articles
Comparison
Choose a research starting point by your evidence needs: a controlled source collection or broader discovery. Compare workflows with one shared decision task and verification rubric.
Build Guide
Turn one approved product photo into a coordinated campaign brief. Preserve product identity, vary the scene and review each output before adding final typography.
Build Guide
Classify synthetic support tickets, produce evidence-backed draft replies and route everything to a human review queue. Includes a schema, test cases and failure handling.
Build Guide
Create a research brief you can inspect: a bounded question, curated source set, claim ledger and reviewed recommendation. Includes prompts, a worked example and troubleshooting.
Quick Tip
Extract decisions, confirmed owners and unresolved questions from messy notes. Copy an evidence-first prompt that keeps suggestions separate from real commitments.
Quick Tip
Inspect the diff, choose meaningful checks and keep a reversible working copy. Use a compact review prompt to catch assumptions before running AI-generated changes.
Quick Tip
Replace a broad request with five clear lines: goal, source, constraints, output and check. Copy the template and see an illustrative before-and-after example.
Deep Dive
Build pages that answer real questions with evidence. Use an answer-first structure, original examples and a measurable publishing checklist for search and AI discovery.
Deep Dive
Separate access from know-how. Understand where MCP connections, reusable agent skills and permission boundaries belong before you build a complicated AI workflow.
Deep Dive
Give your AI the right evidence, boundaries and output contract. Build a reusable context brief, diagnose contradictory instructions and test whether the answer actually improves.
Deep Dive
Build a fair, documented comparison. Unsupported release dates and benchmark scores from the earlier article have been removed.
Deep Dive
A practical framework for using coding assistance without unsupported productivity promises or unreviewed handoffs.
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