01
Start safely: run one non-sensitive AI-chat workflow and learn owner gates before anything touches accounts, money, code, or public channels.
Free AI developer bookAI for the People · free AI developer book + public resources
A plain-English book and resource library from DWAI for beginners, non-devs, creators, operators, and future builders. Start with one safe AI-chat workflow, then move step by step into context, prompts, files, code, APIs, apps, automations, agents, testing, review gates, and owner-controlled shipping — without handing over authority.
The full learning path is public and free. Studio help is optional paid support — not a paywall for hidden essentials.
Start here
If you are new, day one still starts with a manual AI-chat workflow. That is the safety ramp, not the ceiling. The full book then moves step by step into the developer track: source-of-truth context, prompt design, files, code helpers, APIs, automations, agents, testing, deployment habits, and review gates.
Everything essential is available here as public resources: the full book, workbook, prompts, checklists, routines, and path maps. No ZIP. No checkout. No hidden “real lesson” behind Studio.
01
Start safely: run one non-sensitive AI-chat workflow and learn owner gates before anything touches accounts, money, code, or public channels.
02
Build the developer foundation: context cards, prompt systems, files, research habits, code assistance, testing, and review loops.
03
Ship owner-controlled projects: simple AI tools, automations, agents, and operating maps with PASS / HOLD gates at every risky step.
Free public resource library
Use these downloads as a public curriculum, not a teaser. Start with the book or the day-one safe workflow, then keep the workbook, prompts, checklists, routines, and path maps beside you as you learn to build owner-gated AI tools, automations, and agents. Studio help is optional implementation support, not where the essentials are hidden.
If you are new, do this first
Your first win is manual and safe: one non-sensitive AI-chat workflow, one owner-gate checklist, and the full book as the path. You can ignore the repo and optional skills until you want to work in files.
Hands-on practice repo
The downloads teach the path. The starter kit gives you a cloneable workbook, templates, examples, and verification scripts for practicing the owner-gated AI developer workflow without a checkout or hidden dependency.
Optional Hermes skills
The public starter kit now includes a categorized library of 118 optional Hermes skills, including systems thinking, team review, code review, agent routing, GitHub workflows, creative tools, research, MLOps, productivity, and safety gates. They are rewritten for a new user and do not include private memory, credentials, crons, gateway config, or account access.
3 skills
Day-one operator, builder-review loop, entrepreneur/operator basics.
31 software-development skills
Systems thinking, team review, code review, planning, debugging, containment, closeout, and safety gates.
9 agent/autonomous skills
Hermes, Claude Code, Codex, Goose, Jules, OpenCode, agent profiles, and routing patterns.
9 GitHub skills
Repo evaluation, PRs, issues, release gates, codebase inspection, and public/private source hygiene.
25 creative/media skills
Design, diagrams, mockups, comics, video, audio, YouTube, GIF, and visual workflows.
19 research/model skills
arXiv, LLM wiki, paper writing, evals, fine-tuning, inference, serving, and structured output.
22 integration skills
Apple, notes, docs, PDF/OCR, Notion, Linear, Airtable, maps, MCP, email, smart-home, and social tooling.
systems-thinking-default
Default intake gate: outcome, context, constraints, risks, review, and update loop.
team-review
Run role-by-role review instead of one shallow opinion.
requesting-code-review
Pre-commit/release review gates for diffs, tests, security, links, and public readiness.
ai-agent-routing
Route builder, reviewer, fixer, and verifier lanes without giving agents unsafe authority.
public-reconstruction-router
Turn ideas into public resources, offers, or HOLD decisions without scope creep.
How to use the downloads
1
Prove one safe, non-sensitive AI workflow before the developer stack.
2
Use this as the main day-one to AI developer path.
3
Keep this open before money, accounts, posts, deletes, deploys, code, or regulated claims.
Pick the first three downloads below. PDF is best for reading or printing; Markdown/TXT is best when you want a source file for AI study.
Read one section, fill one workbook page, then run one small practice task. Do not try to swallow the whole library in one sitting.
Use PASS / HOLD before anything touches secrets, accounts, money, public posting, deletion, deployment, customer/private data, code changes, or regulated claims.
NotebookLM learning mode
Use NotebookLM as a study guide, not an authority. Upload the public DWAI PDFs, Markdown files, or public page URLs. Ask for a summary, study plan, quiz, and source-grounded explanation. If your account has Video Overview, generate a video-style walkthrough; otherwise use Audio Overview, briefing docs, study guides, or Q&A.
Create a NotebookLM notebook and add only the public DWAI PDFs, Markdown files, or copied public resource URLs. Do not upload private notes, secrets, customer data, account screenshots, or completed workbook pages.
Ask NotebookLM to explain the path in plain English, make a 7-day study plan, quiz you, and flag risky actions as HOLD using only the uploaded sources.
If your account has Video Overview, generate a video-style walkthrough. If not, use Audio Overview, briefing docs, study guides, or Q&A.
Copy this prompt
“Using only these uploaded DWAI resources, explain the AI developer path like I am new. Give me a 7-day plan, quiz me one question at a time, and flag anything involving secrets, accounts, money, public posting, deletion, deployment, customer/private data, code changes, or regulated claims as HOLD.”
Privacy gate: public DWAI resources are okay to upload. Do not upload completed workbook pages, context cards, customer/private data, passwords, API keys, 2FA/recovery codes, medical/legal/financial/tax records, private business notes, or sensitive personal details unless you intentionally sanitized them and accept NotebookLM’s data terms.
01
The safe day-one routine for ChatGPT, Claude, Gemini, or similar. No install, no checkout, no secrets — just the first foundation.
02
The complete free path: safe AI foundations, developer setup, coding basics, AI-assisted coding, first AI API app, RAG/tool-calling basics, tests, deployment checks, and portfolio capstone.
03
The red-line checklist for money, accounts, credentials, public posts, deletes, deploys, and regulated claims.
04
Blank worksheets for moving from one safe workflow into context cards, project specs, build plans, tests, owner gates, and weekly updates.
05
A fillable source-of-truth card so AI knows your current goal, style, constraints, and red lines.
06
Copyable prompts for safe AI chat, research, decisions, drafting, learning, code assistance, testing, weekly review, and risk checks.
07
A seven-day manual practice plan to prove safe inputs, outputs, review, and update loops before adding developer tools or automation.
08
A weekly prompt and checklist for refreshing context, pruning stale instructions, choosing the next build, and keeping owner gates current.
09
Outcome, input, context, review, and update loops instead of prompt hacks.
10
The public path from safe AI chat to source of truth, developer workspace, code-assisted builds, AI app patterns, owner-gated agents, and portfolio capstones.
11
What this is, what it is not, what not to paste, what stays free, and when optional Studio help may fit.
12
How to fix generic, risky, too-long, hallucinated, or hard-to-judge AI answers by fixing the workflow.
20-minute quick start
Open ChatGPT, Claude, Gemini, or another AI chat. Pick one non-sensitive task. Ask for a draft, a checklist, and the owner gate. This is the first rung of the developer path: safe inputs, clear outputs, review, and update.
Download the quick-start PDF →Prompt preview
“I am new to using AI as a system. Help me build one tiny routine from a real task. My task is [task]. My goal is [goal]. Do not send, post, spend, change accounts, delete, make commitments, ask for secrets, or make regulated claims. Give me the workflow name, inputs needed next time, a draft, a review checklist, owner-approval risks, and one context-card update.”
The full copyable version is in the quick-start PDF and the Starter Prompt Pack.
Safety first
No passwords, API keys, 2FA codes, recovery codes, private tokens, card details, customer data, sensitive account access, or private records.
Money, accounts, public posts, external messages, deletes, deploys, code, DNS, and regulated claims need owner approval.
PASS means reviewed and safe enough. HOLD means missing context, risky claim, or owner decision required. If unsure, hold.
Plain-English map
A repeatable task with input, output, review, and update.
A short source-of-truth note: goal, style, tools, constraints, red lines.
A role prompt in the beginner version — not a bot with authority.
Drafts, options, summaries, or checklists waiting for human review.
AI may suggest or draft; the owner approves risky action.
A weekly refresh of context, prompts, and the next routine.
Developer path
You do not need the advanced stack on day one. You do need a path that reaches it. The book starts with a safe manual loop, then builds toward real AI developer work: workspaces, code, APIs, automations, agents, testing, logs, and owner gates.
01
Start with safe, non-sensitive tasks and learn how to ask for drafts, checks, and owner-gate risks.
02
Keep current goals, examples, data notes, tool choices, constraints, and red lines in one place.
03
Move into files, versioned notes, code projects, docs, tests, and private history when work becomes real.
04
Use AI to plan, write, explain, refactor, and test code while you review every change before it ships.
05
Connect models, data, prompts, tools, and schedules only after the manual loop is clear and safe.
06
Build specialist helpers and coordinators with PASS / HOLD review, least privilege, logs, and human approval for risky actions.
07
Package one useful AI project with README, tests/evals, demo notes, safety notes, and known limits.
After the free book
Work through the free book first. If you have one real business, professional, creator, or team workflow and want paid help applying the developer path to real work, use DW AI Studio.
DWAI shares practical AI setup and developer-path resources for thinking, drafting, organizing, researching, reviewing, learning, coding, and building. It is not therapy, counselling, diagnosis, ADHD/addiction treatment, medical advice, legal advice, financial advice, tax advice, crisis support, or a guarantee of any outcome. AI outputs are drafts; the owner approves actions.