For founders
Choose a small AI stack, validate workflows quickly, and avoid buying tools before the use case is clear.
AI guides
Practical AI guides for learning, building, and adopting AI
Clear, implementation-focused guides for founders, developers, and marketers learning prompt engineering, RAG, MCP, AI agents, AI coding agents, and business automation. Start with the roadmap, then use each guide to build a working workflow.
Guide categories
Browse by AI learning goal
These guide clusters are organized around practical jobs: founders need leverage, developers need implementation patterns, and marketers need repeatable content, research, and campaign workflows.
For developers
Use AI coding agents, RAG, MCP, and agent workflows with tests, review gates, and controlled permissions.
For marketers
Build AI workflows for research, positioning, content repurposing, SEO outlines, and campaign reviews.
AI basics
Prompt engineering
RAG
MCP
AI agents
Coding agents
Automation
AI for founders
AI for marketers
AI for sales
AI for operators
AI for product managers
AI for support
AI for HR
AI for finance
AI for legal
AI for design
AI for data analytics
AI governance
AI security
AI privacy
Enterprise rollout
AI risk management
AI for healthcare
AI for e-commerce
AI for education
AI for financial services
AI for professional services
AI for customer experience
AI for user onboarding
AI for customer feedback
AI for retention and expansion
AI for customer journey
AI for meetings
AI for documentation
AI for knowledge management
AI for note-taking
AI for intranet and wiki
Multi-agent systems
Agent orchestration
Fine-tuning
Model distillation
AI infrastructure
How to learn AI in 2026: a practical roadmap for beginners
Learn AI in the right order: fundamentals, prompt engineering, AI tools, RAG, MCP, AI agents, automation, and evaluation.
Read article
Prompt engineering checklist
A reusable prompt engineering checklist for better ChatGPT, Claude, Gemini, and AI coding agent outputs.
Read articleWhat is RAG? Retrieval-augmented generation explained
A practical guide to RAG for teams that need AI answers grounded in documents, customer data, policies, knowledge bases, or frequently changing information.
Read articleWhat is MCP? Model Context Protocol for AI workflows
Learn how MCP helps AI assistants connect to tools, files, APIs, and business systems so they can do useful work with the right context.
Read articleAI agents explained for builders and business teams
Understand agentic AI, where agents are useful, when simple automation is better, and how to design review gates, permissions, logs, and evaluation.
Read articleHow to use AI coding agents effectively
A guide for developers and technical founders using AI coding agents for repo analysis, implementation, tests, code review, and safer delivery.
Read articleAI automation ideas for small teams
Practical AI automation ideas for support, research, marketing, operations, CRM updates, reporting, and internal knowledge workflows.
Read articleBest AI tools for beginners, founders, and small teams
A buying guide for choosing AI tools by use case, budget, data risk, integration depth, and measurable business value.
Read articleAI workflows for marketers
Workflows for campaign research, content repurposing, landing page drafts, customer interviews, SEO outlines, and review processes.
Read hubAI for sales and GTM
Practical AI workflows for sales prospecting, outreach, CRM hygiene, and go-to-market planning for revenue and GTM teams.
Read hubAI for operators
Use AI to run smoother cross-functional workflows, cleaner process docs, faster meeting follow-through, and sharper vendor decisions.
Read hubAI for product managers
Use AI for customer research synthesis, roadmap prioritization, PRD drafting, feedback triage, and competitive analysis.
Read hubAI for customer support
Use AI for ticket triage, response drafting, knowledge base answers, escalation signals, and quality review.
Read hubAI for HR
Use AI for recruiting, onboarding, performance reviews, employee communications, HR operations, and policy drafting.
Read hubAI for finance
Use AI for month-end close, forecasting, variance analysis, FP&A, expense review, and investor reporting.
Read hubAI for legal
Use AI for contract review, clause extraction, redline summaries, compliance checklists, legal research, and outside counsel briefs.
Read hubAI for design
Use AI for UX research synthesis, wireframe copy, image generation, design systems, asset variations, and creative review.
Read hubAI for data analytics
Use AI for SQL generation, dashboard commentary, anomaly detection, data cleaning, report automation, and self-serve analytics.
Read hubAI governance framework
Build ownership, policy hierarchy, review gates, approved tool lists, acceptable use, and audit for AI at scale.
Read guideAI security guide
Address data leakage, model supply chain, prompt injection, output validation, identity and access, and incident response.
Read guideAI data privacy guide
Handle PII and sensitive data in prompts, data retention, training opt-out, regional compliance, and vendor assessments.
Read guideAI enterprise rollout
Scale AI from pilot to enterprise with phased rollout, use-case prioritization, change management, training, and adoption metrics.
Read guideAI risk management
Build a risk taxonomy, score AI risks, define controls, accept residual risk, and set up monitoring and escalation.
Read guideAI for healthcare
Use AI for clinical documentation, patient engagement, prior authorization, medical coding, and operational efficiency while managing PHI.
Read guideAI for e-commerce
Use AI for product descriptions, personalization, demand forecasting, customer service, returns, ad creative, and pricing.
Read guideAI for education
Use AI for lesson planning, grading and feedback, tutoring, administrative workflows, student engagement, and academic integrity.
Read guideAI for financial services
Use AI for fraud detection, risk scoring, customer onboarding, regulatory reporting, investment research, and compliance.
Read guideAI for professional services
Use AI for client onboarding, proposal drafting, research, deliverable drafting, knowledge management, and time estimation.
Read guideAI for customer experience
Connect support, onboarding, feedback, journey, and retention into one practical CX system.
Read hubAI for user onboarding
Build onboarding flows, in-app guidance, activation emails, tutorials, and progress nudges that drive activation.
Read guideAI for customer feedback
Analyze surveys, reviews, support tickets, NPS/CSAT, and voice-of-customer data for actionable insights.
Read guideAI for retention and expansion
Detect churn-risk signals, score account health, and run expansion, renewal, and win-back playbooks.
Read guideAI for customer journey mapping
Map touchpoints, draft personas, and orchestrate journey triggers across marketing, product, and success teams.
Read guideAI for meetings
Draft agendas, take notes, extract action items, keep decision logs, and share async updates without losing context.
Read guideAI for documentation
Write docs from scratch, update stale pages, generate API docs and SOPs, and keep documentation accurate over time.
Read guideAI for knowledge management
Build searchable knowledge bases, capture expert knowledge, answer employee questions, and fight knowledge decay.
Read guideAI for note-taking
Capture lecture, reading, meeting, and project notes, organize ideas, and connect insights across sources.
Read guideAI for intranet and wiki
Power org-wide search, employee Q&A, policy access, onboarding pages, and wiki maintenance with AI.
Read guideAI multi-agent systems
Design multiple agents with clear roles, communication patterns, coordination, failure recovery, and evaluation.
Read guideAI agent orchestration
Orchestrate agent workflows with state management, human-in-the-loop, retry/fallback patterns, and observability.
Read guideAI fine-tuning guide
Decide when to fine-tune vs prompt or RAG, prepare data, run training pipelines, evaluate, and deploy safely.
Read guideAI model distillation
Build smaller, faster models with teacher-student training, knowledge distillation, quantization, and pruning.
Read guideAI infrastructure guide
Host inference at scale with the right compute, caching, load balancing, monitoring, security, and cost controls.
Read guideRole hubs
Choose a path by role
AI for founders
Use AI for customer learning, operating reviews, support triage, and leverage.
Open hubAI for developers
Use AI for code understanding, coding agents, RAG, MCP, and safe implementation.
Open hubAI for marketers
Use AI for research, SEO briefs, repurposing, and brand-safe campaign systems.
Open hubAI for sales and GTM
Use AI for prospecting, outreach, CRM hygiene, and launch planning.
Open hubAI for operators
Use AI for cross-functional workflows, process docs, dashboards, and vendor decisions.
Open hubAI for product managers
Use AI for research synthesis, roadmaps, PRDs, feedback triage, and competitive analysis.
Open hubAI for customer support
Use AI for ticket triage, response drafting, knowledge base answers, and quality review.
Open hubAI ROI measurement
Use AI to measure time saved, quality, revenue, cost, and risk reduction with a reporting template.
Open hubAI for HR
Use AI for recruiting, onboarding, performance reviews, employee comms, and policy drafting.
Open hubAI for finance
Use AI for month-end close, forecasting, variance analysis, FP&A, and investor reporting.
Open hubAI for legal
Use AI for contract review, clause extraction, redlines, compliance checklists, and legal research.
Open hubAI for design
Use AI for UX research synthesis, wireframe copy, image generation, and design systems.
Open hubAI for data analytics
Use AI for SQL generation, dashboard commentary, anomaly detection, and self-serve analytics.
Open hubDeep dives
Implementation pages for teams
RAG guide
Go deeper on retrieval, source hygiene, and evaluation.
Read guideMCP guide
Learn connected AI design, permissions, and structured tool access.
Read guideAI agents workshop
Run a hands-on session to scope and test a safe agent.
Read guideAI case studies
See anonymized workflow examples by role.
Read guideAI governance framework
Set up ownership, policy hierarchy, review gates, and audit.
Read guideAI security guide
Address data leakage, prompt injection, supply chain, and incident response.
Read guideAI data privacy guide
Handle sensitive data, retention, training opt-out, and compliance.
Read guideAI risk management
Build a risk taxonomy, score risks, and set controls.
Read guideAI for healthcare
Clinical documentation, patient engagement, and PHI-aware workflows.
Read guideAI for e-commerce
Product content, personalization, forecasting, and customer service.
Read guideAI for education
Lesson planning, feedback, tutoring, and academic integrity.
Read guideAI for financial services
Fraud, risk scoring, onboarding, and regulatory workflows.
Read guideAI for professional services
Proposals, research, deliverables, and knowledge management.
Read guideAI for customer experience
Connect support, onboarding, feedback, journey, and retention.
Read hubAI for user onboarding
Flows, activation emails, tutorials, and progress nudges.
Read guideAI for customer feedback
Surveys, reviews, NPS, and voice-of-customer analysis.
Read guideAI for retention and expansion
Churn signals, health scores, and expansion playbooks.
Read guideAI for customer journey mapping
Touchpoints, personas, and orchestration triggers.
Read guideAI for meetings
Agendas, notes, action items, and async updates.
Read guideAI for documentation
Docs from scratch, updates, API docs, and SOPs.
Read guideAI for knowledge management
Search, Q&A, expert capture, and knowledge decay.
Read guideAI for note-taking
Lecture, reading, meeting, and project notes.
Read guideAI for intranet and wiki
Org-wide search, employee Q&A, and wiki maintenance.
Read guideAI multi-agent systems
Multiple agents with roles, communication, and coordination.
Read guideAI agent orchestration
Workflows, state, human review, retries, and observability.
Read guideAI fine-tuning guide
When to fine-tune, data prep, training, evaluation, deployment.
Read guideAI model distillation
Teacher-student training, quantization, and smaller models.
Read guideAI infrastructure guide
Hosting, GPUs, scaling, caching, monitoring, and cost.
Read guideHow to use this library
Turn each guide into a working artifact
Do not read these guides passively. Pick one page, apply it to a real workflow, and save the result as a reusable asset: a prompt, checklist, tool scorecard, automation map, or implementation plan. That is how this site is intended to help founders, developers, and marketers build practical AI skill.
SEO focus
Keyword clusters this guide hub targets
Primary keywords: learn AI, AI learning roadmap, prompt engineering checklist, what is RAG, what is MCP, AI agents explained, AI coding agents, AI automation ideas, best AI tools for beginners, AI governance framework, AI security guide, AI data privacy, AI enterprise rollout, AI risk management, AI for healthcare, AI for e-commerce, AI for education, AI for financial services, AI for professional services, AI for customer experience, AI for user onboarding, AI for customer feedback, AI for retention and expansion, AI for customer journey mapping, AI for meetings, AI for documentation, AI for knowledge management, AI for note-taking, AI for intranet and wiki, AI multi-agent systems, AI agent orchestration, AI fine-tuning, AI model distillation, and AI infrastructure. Supporting phrases are used naturally in headings, summaries, FAQs, and internal links.
Curated clusters
Guide clusters for common learning goals
AI basics
Start with the learning roadmap, the AI glossary, and the prompt engineering checklist to build solid foundations.
Retrieval and connected AI
Learn what is RAG, read the RAG guide, and connect systems with MCP explained.
AI agents and orchestration
Start with AI agents explained, then explore agent orchestration and multi-agent systems.
Coding agents and reviews
Read AI coding agents, the Cursor guide, and the GitHub Copilot guide for safer, faster development.
Founder workflows
Use AI for founders, best tools for beginners, and automation ideas to move faster with less overhead.
Marketing workflows
Explore AI for marketers, AI SEO, and social media workflows.
Sales and GTM
Read AI for sales, prospecting, and CRM hygiene workflows.
Governance and risk
Build policy with the governance framework, security guide, and privacy guide.
Watch: AI agents explained
A short overview of how AI agents work, when to use them, and how to keep them safe and useful.
FAQ
Should I read the guides in order?
No. Start with the cluster that matches your current goal. The AI basics cluster is the safest starting point if you are new.
Are these guides beginner-friendly?
Most guides assume you are a working professional, not an ML researcher. Code appears only where it adds practical value.
How are guides different from the tool directory?
Guides explain workflows, concepts, and implementation patterns. The tool directory compares specific products.
Can I request a new guide?
Yes. Send ideas through the contact page or reply to the weekly newsletter.
Which cluster is best for technical founders?
Start with the coding agents cluster, then move to RAG/MCP and agents once you have a real workflow to automate.