Team growth
Summarize team themes from an anonymous survey
Aggregate ratings and comments into privacy-safe themes with denominators, variation, counterevidence, and limits
Open recipe
Browse prompts for writing, research, learning, and image creation. Add your context, inspect the full prompt, and use it with your preferred AI assistant.
Team growth
Aggregate ratings and comments into privacy-safe themes with denominators, variation, counterevidence, and limits
Open recipeCompare options
Aggregate product-review themes with denominators, model and use context, verification, duplicates, time trends, counterevidence, and selection limits
Open recipeSpreadsheet insights
Separate names, addresses, or codes using verified delimiters and exception flags
Open recipeCustomer support
Group comparable ticket evidence while preserving denominators, uncertainty, duplicates, and severity
Open recipeSpreadsheet insights
Map known label variants to an approved vocabulary while exposing unknown values
Open recipePresent clearly
Reduce on-slide reading load while preserving claims, evidence, qualifiers, and speaker context
Open recipeCompare options
Classify purchase statements by actual need and evidence instead of letting persuasive wording define value
Open recipeLanguage practice
Practise one realistic exchange at a time with bounded corrections, retries, adaptive difficulty, and progress evidence
Open recipeCareer preparation
Practice one answer at a time with evidence-based feedback, follow-ups, and a final improvement pattern
Open recipeProject planning
Imagine a failed outcome to surface plausible causes, weak signals, tests, and preventive actions
Open recipeSpreadsheet insights
Name repeated expressions once, preserve workbook behavior, and verify that the refactor is equivalent
Open recipeClear writing
Reduce syntactic load and ambiguity while preserving every material fact, condition, and relationship
Open recipeMany paths, one reliable recipe
Browse by type, task, audience, tool, or collection. Inspect the examples and guidance for each recipe.
Start with what you want the AI to produce
Find a recipe for the outcome you need now
Start from the result you need to produce
Find prompts for recurring professional work
Build skills, teach, and prepare for career moves
Plan everyday decisions and personal projects
Curated starting points for common roles and goals
Explore visual styles and practical recipe workflows
Adapt portable recipes and see recorded test status
FAQ
Learn how to choose a recipe, add useful context, and review the result.
An AI prompt recipe is a reusable set of instructions for a specific task, such as drafting a message, analyzing a document, or planning a meeting. AILesson recipes combine a prompt template with context fields, a worked example, and checks you can use to review the AI response.
Open a recipe that matches your task, fill in the context fields, and inspect the assembled prompt. Copy it into your preferred AI assistant, then use the recipe's checks to review the response. Unfilled fields remain as placeholders, so replace or remove them before sending the prompt.
The recipes use plain-language instructions designed to be portable across AI assistants. Check each recipe's test record for the tools actually tested. Results can vary by model and version, and tasks involving files or other inputs require an assistant that supports those inputs.
Search by the task or outcome you need, or browse by prompt type, task, audience, AI tool, or workflow. Compare the expected result and worked example with your goal before choosing a recipe. Add your own source material, constraints, and output requirements rather than copying the example unchanged.
No. Prompt assembly happens in your browser; the recipe builder does not send your field inputs to an AILesson server or an AI model. If you paste the finished prompt into another service, that service handles the information under its own policies. Only include information you are allowed to share with it.
No. A worked example and a test record show how a recipe was used, not a guarantee of future results. Check facts, source references, calculations, and whether the response follows your constraints. Use the recipe's review checklist and verify time-sensitive claims before relying on the output.