Prompt Engineering Lab

Build more reliable RAG applications with reusable prompts for context boundaries, citations, source conflicts, refusals, and output formats.

A reusable prompt evaluation framework for test datasets, scoring rubrics, edge cases, regression checks, and model comparisons.

A practical comparison of plain text, JSON mode, and function calling for developers building reliable LLM applications.

A practical workflow for building sentiment analysis prompts with stable labels, confidence scores, and reliable edge-case handling.

A practical comparison of JSON formatters, SQL formatters, and regex testers for AI workflows, prompt debugging, and LLM app development.

A practical hiring guide for prompt engineering interviews, take-home tests, scorecards, and regular updates as roles and tools evolve.

A practical prompt debugging guide to identify failure modes, fix bad LLM output, and build a maintenance routine for reliable prompts.

A practical framework for comparing LLM API costs using tokens, context, retries, and real workflow tradeoffs.

A practical guide to email writing prompts for sales, follow-ups, and support, with reusable templates and a maintenance workflow.

Learn how to build a team prompt playground with versioning, testing, approval flows, and practical review habits that scale.

A reusable prompt injection prevention checklist for LLM apps, with scenario-based controls, testing ideas, and update triggers.

A reusable prompt library for summarizing notes, meetings, PDFs, and long articles with clearer structure and better output quality.

A technical guide to structured output prompting, from JSON schemas and validation rules to function calling and failure recovery.

A reusable prompt evaluation framework for scoring LLM outputs with metrics, rubrics, test sets, and update triggers.

A practical comparison of OpenAI, Claude, and Gemini for prompt engineering, with evaluation criteria and best-fit scenarios for developers.

Practical RAG prompt examples for grounded answers, better citations, safer fallbacks, and a review cycle that keeps hallucinations in check.

A practical checklist of system prompt examples, guardrails, and update steps for customer support bots.

A practical workflow for designing AI agent prompts with clear goals, tool rules, memory policies, and escalation paths.

A practical workflow for designing data extraction prompts for invoices, receipts, forms, and emails with validation and update guidance.

A practical guide to prompt engineering for SQL generation, with reusable templates for safer queries, schema hints, and error handling.