Founders
Start with the AI roadmap, tool scorecard, and automation ideas to find high-leverage workflows without overbuying tools.
Resource library
AI resources for founders, developers, and marketers
A practical library of AI learning guides, prompt templates, checklists, workflow examples, and tool-selection resources. Use it as a working index: choose one resource, apply it to a real task, and save the output as a repeatable workflow.
Start here
Choose the resource that matches your job
Developers
Start with coding agents, RAG, MCP, and agent checklists to build useful systems with review and verification.
Marketers
Start with prompt templates, content repurposing, research workflows, and SEO briefing resources.
Guide
AI learning roadmap for beginners
The best starting point if you want a structured path through AI fundamentals, prompt engineering, tools, RAG, MCP, agents, automation, and evaluation.
18 min
Open roadmap
Template
Prompt engineering checklist
A reusable template for turning vague AI requests into clear prompts with role, context, examples, constraints, output format, and review criteria.
12 min
Use template
Template
AI tool evaluation scorecard
A buying framework for comparing AI tools by workflow fit, privacy, pricing, integrations, review effort, output quality, and measurable value.
12 min
Open scorecard
Checklist
AI adoption checklist for small teams
A practical checklist for selecting use cases, defining data boundaries, training users, adding review gates, and measuring workflow quality before scaling AI adoption.
Start here
View checklist
Checklist
RAG readiness checklist
Use this before building a retrieval-augmented generation system. It covers document quality, source trust, chunking, retrieval testing, answer evaluation, and failure modes.
14 min
Read checklist
Glossary
AI glossary for practical teams
Plain-English definitions for prompts, tokens, context windows, embeddings, RAG, MCP, agents, evals, hallucinations, and review gates.
Reference
Open glossary
Workflow
Content repurposing workflow
A marketing workflow for turning one long-form asset into SEO outlines, LinkedIn posts, newsletter sections, short scripts, and claims that need human verification.
Workflow
View workflow
Workflow
AI agent workflow design canvas
A planning canvas for mapping agent goals, inputs, tools, permissions, checkpoints, logs, human approvals, and evaluation before adding autonomy.
13 min
Open canvas
Workflow
MCP permission planning worksheet
A worksheet for deciding whether an AI assistant should have read-only access, draft-action access, or limited write access to tools, files, APIs, and business systems.
13 min
Plan access
Toolkit
AI coding-agent review checklist
A developer checklist for using coding agents safely: inspect first, plan, keep diffs small, run tests, summarize changes, and reject unrelated refactors.
15 min
Use checklist
Guide
AI for sales and GTM
A sales and GTM hub covering prospecting, outreach, CRM hygiene, and launch planning with practical prompts and workflows.
Hub
Open hub
New resources
Templates and references to add to your AI stack
AI glossary
Plain-English definitions for AI terms you use every week.
Open glossaryPrompt library
Reusable prompts for founders, developers, and marketers.
Open libraryWorkflow templates
Repeatable systems for research, content, meetings, and follow-up.
Open templatesAdoption checklist
Roll out AI with clear ownership, review, and data rules.
Open checklistAI policy template
Define approved tools, data handling, and review expectations.
Open policyNewsletter archive
Show readers the editorial direction and past themes.
Open archiveAI for sales prospecting
Research accounts, score leads, and build account intelligence before outreach.
Open guideTemplates
Ready-to-use AI templates
Templates turn one-off prompts into repeatable assets. Each one includes a role, context, examples, constraints, output format, and review criteria so your team gets consistent results across different models and tools.
Prompt engineering checklist
A structured template for writing clear, reliable prompts every time.
Use templateAI tool evaluation scorecard
Score tools by workflow fit, privacy, pricing, integrations, and ROI.
Open scorecardAI policy template
Define approved tools, data handling, and review expectations for your team.
Open policyContent repurposing workflow
Turn one long-form asset into outlines, posts, scripts, and newsletter sections.
View workflowPrompts
Prompt libraries by role
Good prompts are the fastest way to improve AI output quality. These prompt libraries are organized by job function so you can copy, adapt, and reuse them in your daily work.
Strategy and planning prompts
Prompts for market analysis, positioning, roadmap reviews, and decision memos.
Open promptsCoding and debugging prompts
Prompts for code review, test generation, refactoring plans, and error analysis.
Open promptsContent and research prompts
Prompts for SEO briefs, audience research, ad copy, and social posts.
Open promptsProspecting and outreach prompts
Prompts for account research, pitch variants, and follow-up sequencing.
Open promptsChecklists
Checklists before you build or buy
Checklists reduce the risk of shipping low-quality AI output. Use them to verify inputs, set review gates, and confirm a workflow is ready for wider use.
AI adoption checklist
Select use cases, define data boundaries, train users, and measure quality.
View checklistRAG readiness checklist
Verify document quality, chunking, retrieval testing, and failure modes.
Read checklistAI agent workflow design canvas
Map goals, inputs, tools, permissions, checkpoints, and evaluation before launch.
Open canvasMCP permission planning worksheet
Decide read-only, draft, or limited write access for AI-connected tools.
Plan accessGlossary
Plain-English AI terms
The AI glossary defines the terms you will use every week: tokens, context windows, embeddings, RAG, MCP, agents, evals, hallucinations, review gates, and more. It is written for practical teams who need to communicate clearly about AI projects without getting lost in vendor jargon.
Use it as a reference during tool evaluations, team training, and documentation reviews.
Case studies
How teams apply AI in practice
These case-study-style guides show how different roles adopt AI without overbuying tools or skipping review.
AI adoption for small teams
A step-by-step case study on selecting use cases, training users, and measuring workflow quality.
Read case studyAI for customer support
How support teams use AI for drafting responses, summarizing tickets, and maintaining quality.
Read case studyAI for data analytics
How analysts use AI to clean data, generate queries, and communicate insights.
Read case studyAI for design workflows
How designers use AI for ideation, variants, and feedback loops without losing creative control.
Read case studyTool comparisons
Compare AI tools side by side
Choosing the right tool starts with workflow fit, not feature lists. These comparisons focus on use case, pricing, privacy, integrations, and review effort.
AI models comparison
Workflow-first buying guide across major model families.
Compare modelsAI model API pricing
Per-token costs across OpenAI, Anthropic, Google, DeepSeek, Mistral, and Qwen.
Compare pricingAI code review tools
Compare tools that help developers review, test, and ship code faster.
Compare toolsHybrid search guide
Compare keyword, vector, and hybrid search for AI knowledge systems.
Compare approachesHow to build your AI resource stack
A practical walkthrough for organizing prompts, templates, and workflows into a system your team can reuse.
FAQ
Are these resources free to use?
Yes. All templates, checklists, and guides on this page are free to read and use. Some are bundled in the starter kit or sent through the newsletter.
Which resource should I start with?
If you are new to AI, start with the AI learning roadmap and the prompt engineering checklist. If you are choosing tools, start with the tool comparison scorecard.
Can I share these resources with my team?
Yes. You can share links to any page. For internal use, copy the templates and checklists into your own documentation and adapt them to your workflows.
Do you cover enterprise AI adoption?
Yes. The enterprise rollout guide and adoption checklist cover governance, training, review gates, and measurement.
How often are resources updated?
Resources are updated as tools, models, and best practices change. Each page shows a last-updated date near the top.
Where can I request a new resource?
Send a request through the contact page or reply to any newsletter issue.
Related pages
Continue exploring
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A structured 30-day path through AI fundamentals, tools, RAG, MCP, and agents.
Start learningAI tools directory
Browse tools by use case, role, and workflow fit.
Browse toolsAI guides hub
In-depth guides for founders, developers, marketers, and operators.
Browse guidesAI starter kit
A curated bundle with a 30-day plan, checklist, scorecard, and workflows.
Get the kit