Tutorials

AI-powered keyword research pipeline: seed generation via Claude, clustering with prompts, validation in Ahrefs/SEMrush. Prompts, tables, step-by-step process from zero to a ready content plan.

Step-by-step method for crafting an elevator pitch with AI: a 6-block structure, prompts for each block, before/after examples, and adaptations for investors, clients, and partners.

B2B sales objection classification, prompts for generating responses via LLM, a ready-to-use playbook template with examples. A system for preparing to handle any objection.

A template for a 90-day new employee onboarding plan generated with an LLM. Prompts, week-by-week checklists, and probationary period success criteria.

Rubric-based resume screening with LLMs: prompts, calibration, bias mitigation, and a step-by-step process from 100 resumes to a shortlist in 30 minutes.

A step-by-step pipeline from exporting Figma mockups to a working prototype using v0, Bolt, and Claude Artifacts. Concrete steps, prompts, and common mistakes.

A TCO model for three startup architectures: monolith, microservices, serverless. AI-assisted calculation prompts, comparison tables, and a decision framework with concrete numbers.

RICE framework with AI automation: prompts for scoring Reach, Impact, Confidence, and Effort. A real backlog example with 10 features, templates, and LLM-based automation.

A step-by-step process for turning a PRD into a PostgreSQL schema in 30 minutes with AI. Extract entities, build relationships, generate migrations.

Build a positioning statement with AI in 30 minutes. A 4-step framework with prompts for audience, category, differentiator, and proof points. Before/after examples included.

A methodology for value-based pricing using AI: the Van Westendorp model, value analysis through prompts, finding price points from competitor data and user behavior.

A practical guide to dashboard design for startups: executive, product, and engineering. Concrete metrics, SQL queries, and prompts for generating dashboards in Metabase and Grafana.

7 SQL queries for cohort analysis: retention, revenue cohorts, activation, churn prediction. Ready-made prompts for AI generation. Copy and run.

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 framework for deciding between bootstrapping and fundraising: financial models for both scenarios, Claude prompts, comparison tables, sensitivity analysis, and clear selection criteria.

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.

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.

Sensitivity analysis for SaaS startups using AI: formulas, prompts for modeling, scenario tables, tornado diagrams. Churn vs CAC - which parameter has a bigger impact on runway.

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

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

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 build a quarterly content plan with an LLM: topic clusters, format distribution, prompts for topic generation, and a ready-made calendar template.

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.

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

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.

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

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

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

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

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 patterns for production: Sequential Pipeline, Parallel Fan-Out, Classifier+Router orchestration, task routing, agent specialization with code examples.

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 proxy: automatic failover, LLM fallback chains, task-based routing, cost balancing. Circuit breaker patterns and production configuration.

What is context engineering and how to apply it: 6-layer context structure, 4 management strategies, persistence patterns, subagent isolation. Practical guide with Claude Code examples.

Step-by-step Langfuse tutorial: LLM call tracing, prompt versioning, cost tracking, output evaluations. Self-hosted setup in 15 minutes with Docker Compose.

Build your own MCP server from scratch and run it in production. Error handling, fallback chains, circuit breakers, monitoring, and security patterns from real-world experience.