Tutorials

How to use an LLM to generate OKRs: prompts, templates, examples of good and bad Key Results. A full process from strategic priorities to a finished OKR set in one session.

A decision-making framework for HITL in AI products: confidence thresholds, risk matrix, escalation patterns. Production-ready implementation examples with code.

Methodology for A/B testing prompts: quality metrics, statistical significance, tools (Langfuse, DeepEval). Step-by-step guide from hypothesis to production decision.

ADR template + prompts for generating Architecture Decision Records with AI. Structure, examples, CI automation, and a Claude Code workflow from decision to documentation.

A complete AI-powered content production pipeline: from keyword research to publication. Prompts, tools, quality metrics, and exact cost figures for each stage.

How to generate production-ready PRDs with LLMs: document structure, prompts for each section, real output examples, and a ready-to-use template.

A checklist of 15 common production code vulnerabilities with before/after examples and prompts for AI-assisted auditing. SQL injection, SSRF, path traversal, JWT, race conditions, and more.

How to test each of the 9 Business Model Canvas blocks with AI prompts. Common weak spots, analysis examples, and ready-to-use prompts for Claude.

Calculating TAM, SAM, and SOM for a startup with AI: top-down and bottom-up formulas, ready-to-use prompts, a SaaS product example, benchmark tables, and common mistakes.

A checklist for AI code review across 4 categories with prompts for each stage, real-world finding examples, and a CI/CD pipeline integration template.

How to build an event taxonomy for a SaaS product with AI: naming conventions, taxonomy structure, prompts for generating 30 events, and a ready-to-use tracking plan.

A step-by-step process for extracting Jobs-to-be-Done from user reviews using an LLM. Analysis prompts, clustering, output examples, and a ready-to-use workflow.

Methodology for finding a product's magic number: cohort analysis in SQL, AI correlation of user actions with 30-day retention, A/B test validation. Ready-to-use queries and prompts.

How to apply test-driven development with Claude Code: prompts, test-first workflow, approach comparison. A practical guide with code examples.

Generate high-converting ad copy with AI using PAS, AIDA, BAB, FAB, and 4U frameworks. Ready-made prompts and before/after examples included.

Model a cap table with AI: dilution formulas, Pre-Seed to Series A calculations, prompts, and founder dilution analysis across 3 rounds.

Build a 13-week cash flow forecast: table structure, formulas, scenario analysis, and AI prompts for automation. Free template included.

Pitch deck narrative framework: AI prompts for every slide, transition logic, and sample copy. Build a presentation that survives 60 seconds.

How to define your Ideal Customer Profile using AI: analysis prompts, ICP card templates, scoring models, and a step-by-step pipeline from data to segments.

How to build a structured interview kit with AI: competency-based questions, candidate scorecards, and debrief agendas. Prompts, templates, and a step-by-step process.

How to use LLMs to write job descriptions that attract qualified specialists, not keyword-stuffers. Prompts, templates, before/after examples.

How to build a prompt management system: versioning, testing, A/B deployment, regression monitoring. Practical patterns and tools for production.

Multi-agent system architecture for startups: orchestration patterns, task routing, agent specialization, code examples, and configuration.

Step-by-step SaaS unit economics calculation using Claude: LTV, CAC, Payback Period formulas, benchmarks, sensitivity analysis, and ready-to-use prompts.

How to turn one article into 5 platform-adapted formats in 40 minutes using LLMs. Prompts, n8n + Claude API automation pipeline, and repurposing economics.

How to use LLM-as-Judge for automated LLM output evaluation. Metrics, judge prompts, DeepEval, Langfuse integration, and CI/CD pipeline setup.

How to use LLMs to generate Standard Operating Procedures from screen recordings, chat logs, and config files. Prompts, templates, and a step-by-step process.

4 patterns of AI slop with real production examples, a 10-point checklist, and automation tools for reviewing AI-generated code.

Maestro for Flutter apps: bilingual regex matchers, iOS workarounds, performance gates, AI assertions. Patterns and pitfalls from a production project.

Multi-provider LLM architecture with LiteLLM: fallback chains, task-based routing, cost balancing across providers. Circuit breaker patterns, monitoring, configuration examples.

How to structure context for LLMs: 6 layers, 4 strategies, persistence, subagents. A practical guide with real-world examples from Claude Code.

Practical guide to Langfuse: LLM call tracing, prompt management, cost tracking, evaluations. Self-hosted in 15 minutes, production patterns.

How to build and run custom MCP servers. Real-world patterns for error handling, fallback chains, monitoring, and security from production experience.