Prompting guides

A practical checklist you can paste into any prompt to reduce ambiguity and improve structure.

Templates to extract and transform data into strict JSON, with validation rules.

How to stop getting generic answers: force diffs, constraints, and test checklists.

Templates for landing copy and ads that avoid exaggeration and keep claims realistic.

How to elicit step-by-step reasoning to improve accuracy on complex tasks.

Templates to summarize long texts while keeping the right level of detail, key facts, and tone.

Use expert roles to unlock specialized behavior in any AI model — and avoid the common mistake of vague titles that change nothing.

Reusable ChatGPT prompt templates for common workplace tasks — built to avoid the vague instructions that produce generic, padded output.

How to write prompts that take advantage of Claude's XML tag support, large context window, and careful, citation-aware reasoning.

How to write prompts that get consistent, well-structured output from Gemini — including format examples, grounding constraints, and multimodal tips.

How to write prompts that get direct, high-signal responses from Grok — including tone controls, real-time awareness, and structuring tips.

Ready-to-use AI prompt templates for common business workflows — from project planning and status reports to customer support scripts and decision memos.

How to write prompts that get precise, well-structured output from DeepSeek — including code tasks, strict JSON extraction, and multi-step analytical reasoning.

Few-shot prompting uses examples inside the prompt to show the model exactly what you want — more reliable than verbal instructions alone for formatting, tone, and structure.

A self-evaluation framework to score prompt quality before running it — covering goal clarity, context completeness, format constraints, and common failure modes.

How to write system prompts (custom instructions) that shape every response without repeating yourself — covering persona, constraints, output format, and escalation rules.

Templates for translating content with AI — with tone matching, register controls, domain glossaries, and constraints to prevent common translation failures.

How to write image prompts that get consistent, intentional results — covering subject, style, composition, lighting, and negative constraints for DALL-E, Gemini Imagen, and similar models.

Prompt chaining feeds the output of one prompt as input to the next, handling tasks too complex for a single round-trip. Learn the core patterns and where they fail.

Writing prompts that produce structured, on-brand content — with tone, audience, format, and length controls built in. No generic filler.

Multimodal prompts combine text instructions with images, PDFs, or screenshots. Learn how to direct AI attention to what matters and extract structured output reliably.

Zero-shot prompting asks the model to solve a task from instructions alone — no examples included. Learn when it works, when to add examples, and the constraints that make zero-shot reliable.

How to write prompts that get consistent, well-structured output from GPT models — using format templates, output constraints, and instruction placement to reduce variation.

How to use AI for brainstorming without getting obvious, repetitive ideas — covering divergent generation, constraint-based prompting, and structured filtering.

How to write prompts that get the most out of Kimi's large context window and strong document-understanding capabilities.

Prompt templates for data analysis tasks — generating SQL queries, interpreting results, spotting trends, and cleaning messy datasets.

Prompt templates that turn AI into a patient tutor — for explaining concepts, testing understanding, building study plans, and connecting new material to what you already know.

How to write prompts that get the most out of Perplexity Sonar — real-time web search, cited sources, and accurate current information.

A systematic method for diagnosing why a prompt fails and fixing it without trial and error.

Copy-paste prompt templates for the recurring PM workflows that AI handles well: writing specs, synthesizing research, and structuring prioritization decisions.

Copy-paste templates to summarize long documents, meeting notes, and research reliably — with format and length controls built in.

Practical patterns for getting consistent, high-quality output from Claude — what it excels at, how to structure requests, and where it needs explicit guidance.

Copy-paste prompt templates for the recurring sales workflows where AI genuinely saves time — cold outreach, discovery prep, and proposal writing.

Copy-paste prompt templates for the recurring customer support tasks where AI saves the most time — drafting ticket replies, writing help articles, and preparing escalation summaries.

Techniques and templates for prompting AI to return structured, machine-readable output consistently — without hallucinated fields, format drift, or plain-text contamination.

Practical AI prompt templates for HR teams and recruiters — writing job descriptions that attract the right candidates, preparing structured interview question sets, and summarizing candidate evaluations.

Practical AI prompt templates for lawyers, paralegals, and legal ops teams — drafting contract clauses, reviewing agreements for risk, summarizing case law, and extracting structured information from legal documents.

Practical AI prompt templates for finance professionals — analyzing financial statements, summarizing earnings calls, explaining variances, drafting board-ready commentary, and accelerating financial modeling.

Context engineering is about deciding what information goes into an AI's input window, in what order, and at what level of detail. This guide explains why context quality often matters more than prompt phrasing, and gives you practical patterns for structuring inputs that get reliable outputs.

Practical AI prompts for software engineers: code review, PR descriptions, debugging, documentation, and architecture decisions.

A practical guide to using negative constraints in AI prompts — what to exclude, what to avoid, and how to set boundaries that actually stick.

AI prompts for YouTubers, bloggers, and social media creators: ideation, scripting, repurposing, and publishing workflows that save real production time.