Find your next
“I can do that.”

Thirty lessons connect AI fundamentals, useful prompts, source checking and practical workflow design. All activities use local demonstrations, not a connected model.

• 30 explained knowledge checks with saved notes
• Prompt workbench and six-claim evidence challenge
• Interactive classifier thresholds, metrics and downloadable experiments

Practice with fictional Sheets, Drive, Docs, Gmail and Forms data. Follow service calls and inspect each result before moving to Google.

• 30 guided workshops with behavior checks
• Visual range explorer and searchable method map
• Saved drafts, notes, progress backups and downloadable handbook

A self-hosted SQLite engine runs read-only queries locally. Inspect table relationships, missing values and result rows without an account.

• 30 executable query challenges with expected results
• Visual INNER and LEFT JOIN explorer
• Saved queries, notes, result exports and progress backups

Includes a bundled browser Python runtime, test feedback, editable code, custom inputs, saved drafts and portable progress backups.

• 50 runnable lessons across 10 chapters
• CSV, JSON, dates, classes and practical data tools
• Prediction arcade, bug missions and step-by-step visualizers

Progress from semantic HTML and forms to CSS layouts, accessible controls and interactive DOM projects. Export standalone pages and save course backups.

• Separate HTML, CSS and JavaScript editors
• 50 browser-based workshop checks and reference implementations
• Phone, tablet and desktop previews with manual review checklist

A language-focused coding studio with isolated, time-limited execution, editable drafts, hints, explained solutions and portable progress backups.

• 50 runnable challenges across 10 chapters
• Five practical data and UI-logic projects
• Saved drafts, notes, progress and downloadable handbook

Practice with fictional records and transparent keyword rules. Compare classification policies, review labels and export an honest summary. No live AI account is connected.

• Interactive cleaning, duplicate detection and category review
• Live charts based only on reviewed records
• Downloadable reports, prompts and learning handbook

Explore discovery, input contracts, permissions and result handling using a fictional task service. No live MCP server or AI account is connected.

• Repair tool calls and follow each execution step
• Design, validate and download a tool contract
• Saved lesson checks, notes and challenge progress

Practice locally with labeled response fixtures, then build a real, manually run Sheets assistant in Google Apps Script.

• Prompt and payload workbench with response inspection
• Blocked output, incomplete generation and API error coaching
• Built-in Apps Script methods, review steps and a downloadable Code.gs

Build GET, POST, PATCH and DELETE requests. Inspect status codes, headers, JSON and changes to a fictional task collection. No network requests or real credentials are used.

• Eight verified missions with coaching feedback
• Request history, generated fetch examples and exports
• Authentication, validation, pagination and failure experiments

Browser services are educational simulations; coaching is rule-based and no Google account is connected.

• Write code, inspect simulated cells and follow service calls
• Learn bound and standalone scripts, Sheets, Docs, Drive, Forms and draft workflows
• Practice properties, HTTP handling, trigger setup and locks
• Save your learning path and download three real project starters

Uses authored teaching fixtures; no real model calls or benchmark claims.

• Compare responses against their source evidence and explain your judgment
• Adjust rubric weights, critical-error gates and traffic assumptions
• Explore a live confusion matrix and test your own response structure
• Export scorecards, review reports and a repeatable evaluation plan

Browser retrieval uses fictional sample data and does not call a live AI model.

• Edit sample documents and inspect how they become searchable chunks
• Compare experiments, find missing exceptions and filter outdated evidence
• Evaluate six test questions and export an evidence-based context prompt
• Create a knowledge-assistant blueprint with saved notes and progress

Educational simulations use authored data, with no live AI or connected accounts.

• Interactive traces, evidence checks and review decisions
• Workflow sequencing challenge and six-case test bench
• Cost explorer and downloadable project blueprint
• Saved lesson progress, notes and portable backups

• Choose project context, service calls and triggers
• Plan repeat behavior, testing and recovery
• Save lesson notes and export your workflow blueprint

Browser exercises simulate selected methods. Real scripts run in your own Google test project.

• Sheets, Drive, Docs, Forms, Calendar, Gmail and supporting services
• Object return types, method traces and side-effect inspectors
• Seven workflow labs, eight repairs and a searchable method finder
• Four useful starters with separate bound and standalone setup paths

Browser services are educational simulations. A first-run guide shows how to practice in a real Google project.

• JavaScript basics, Sheets, triggers, APIs and reliable workflows
• Eight visual learning labs and eight debugging challenges
• Four downloadable project starters and 12 reusable recipes
• Saved code drafts, knowledge checks, recall and a 50-lesson handbook

• Separate supported, contradicted and unresolved claims
• Inspect percentages and preserve important limitations
• Record sources, corrections, owners and next steps
• Download reports and back up your saved work

Explore all 15 chapters of AI Literacy for All Employees by Laurence Lars Svekis through 30 lessons, 11 interactive labs and four workplace projects.

Exercises use fictional scenarios and transparent local feedback. No AI account required.

• AI foundations, workplace uses, prompting and evidence review
• Bias investigations, privacy decisions, governance and stakeholder planning
• Five appendix references, searchable answers and glossary
• Saved progress, recall practice and downloadable workbooks

Learn to use AI for everyday writing, learning and planning with 20 lessons, eight interactive exercises and four missions.

No live AI model or account required. Feedback comes from transparent local rules and authored teaching examples.

• Build clear briefs and compare realistic authored responses
• Spot unsupported claims and choose focused revisions
• Plan reviews, estimate total effort and export workflow cards
• Saved progress, recall, searchable answers and reusable templates

Explore AI foundations

Explore 24 lessons, seven interactive labs and four projects covering modules, npm, files, asynchronous work, HTTP and testing.

Browser labs are local teaching models. Download the starter to run real Node.js on your computer.

• Module, package, configuration, scheduling, routing, data and stream labs
• Downloadable real Node.js CLI, report, read-only API and test suite
• Searchable answers, explained checks and practical project workbooks
• Saved progress, recall practice and transferable backups

Build a repeatable investigation habit with 20 lessons, seven interactive labs and four case projects.

Local experiments and clearly labeled simulations; no external website or live debugger is connected.

• Inspect values, trace execution and diagnose HTTP and JSON failures
• Explore stale search responses and real CSS overflow
• Build downloadable bug reports and investigation records
• Searchable answers, knowledge checks, saved progress and backups

Work through eight focused lessons on visitor journeys, repeatable checks, edge cases, keyboard interaction, device coverage, recovery, useful bug reports, and retesting. Use the Launch Lab to track manual results and evidence, add custom checks, and export a clear report.

• 8 practical lessons with activities and knowledge checks
• 18 reusable checks across core behavior and optional features
• Custom checks, priorities, result filters, and evidence notes
• Downloadable test report and transferable JSON backup
• Browser-saved project details, results, and learning progress

Open Launch Lab

Follow 12 lessons covering goals, content structure, hierarchy, typography, color, spacing, responsive layouts, accessible interaction, usability testing, and launch. Experiment in the live Design Studio, check text contrast, export CSS, and record the checks you run on your own website.

• 12 practical lessons with activities and knowledge checks
• Live typography, color, spacing, and layout preview
• Text contrast checks and downloadable CSS
• Website brief and 14-point launch checklist
• Browser-saved work and downloadable workbook

Start the guide

Follow 12 lessons on learning goals, baseline attempts, useful coaching, retrieval, feedback, spaced review, projects, and independent transfer. Create personal study plans and AI coaching prompts in the Vibe Learning Studio, collect recall cards, and document your progress in the Project Lab.

• 12 practical lessons with activities, recall, and knowledge checks
• Learning Studio with study plans and three AI prompt modes
• Personal review cards with a simple spaced-review queue
• Project Lab and downloadable learning workbook
• Browser-saved work with progress export and import

Open Learning Studio

Explore 16 detailed lessons covering setup, app planning, prompting, design, data, debugging, testing, security, and publishing. Use the guided Prompt Studio for build, refinement, and debugging prompts, practice with feedback in the arcade, and follow the Study Sprint first-app walkthrough.

• 16 beginner-friendly lessons with activities and knowledge checks
• Professional prompt builder with three task-specific modes
• Prompt repair, decision challenges, and workflow sequencing
• Guided first-app project and downloadable workbooks
• Release checklist, glossary, official resources, and exportable progress

Open Prompt Studio

This interactive guide follows the Vibe Learning framework and helps learners turn an idea into a clearly defined project, provide useful context, divide work into reviewable steps, evaluate AI output, debug with evidence, test important behavior, reflect on decisions, and improve their next prompt. It offers a different set of activities and learning interactions from the Field Guide V2.

• Step-by-step Vibe Coding lessons
• Interactive planning and prompting exercises
• Build, test, explain, and reflection activities
• Reusable learning and development prompts
• Progress saved privately in the browser

Vibe Coding resources

The guide walks you through defining a strong project outcome, supplying useful context, writing prompts that produce reviewable work, building in small steps, debugging with evidence, testing real behavior, and preparing a responsible release. Interactive exercises turn each idea into something you can immediately apply to your own project.

• In-depth, step-by-step lessons
• Interactive exercises and knowledge checks
• Reusable prompting and planning frameworks
• Testing, debugging, security, and review workflows
• Locally saved progress for private, self-paced learning

Vibe Coding resources

This guide tracks mastery across 12 lessons through a live dashboard, offers a smart review mode that resurfaces concepts you need to revisit, keeps a searchable prompt library for reuse in your own projects, and ties everything together in a capstone lab where you apply what you have learned. Progress can be exported, imported, or reset at any time.

• Mastery dashboard across 12 lessons
• Smart review for spaced retrieval
• Searchable, reusable prompt library
• Guided capstone lab
• Exportable, locally saved progress

Vibe Coding resources

Progress from your first function through Sheets, Docs, Drive, Gmail, triggers, Forms, Calendar, custom functions, APIs, web apps, and a production-ready capstone. Every lesson follows the Vibe Learning loop: understand, predict, build, test, explain, and reflect.

• 12 structured, in-depth lessons
• Working Apps Script examples
• Build labs and knowledge checks
• Context-rich AI prompt generator
• Saved progress and personal review queue

Apps Script articles

The guide moves from values, functions, arrays, and objects into DOM rendering, events, state, async APIs, debugging, modules, local storage, accessibility, security, performance, testing, and a complete capstone project.

• 12 structured project-based lessons
• Modern vanilla JavaScript examples
• Interactive build labs and quizzes
• AI learning-prompt generator
• Saved progress and review queue

JavaScript articles

Start with the cascade, specificity, inheritance, box model, typography, color, and reusable design tokens. Then build flexible layouts with Flexbox and Grid, create responsive and container-aware components, handle positioning and visual effects, improve forms and accessibility, organize maintainable styles, debug performance issues, and complete a responsive capstone.

• 12 progressive, project-based lessons
• Modern CSS examples and patterns
• Hands-on labs and knowledge checks
• Context-rich AI coaching prompts
• Saved progress and review queue

CSS articles

Progress from parsing and document metadata through content hierarchy, landmarks, navigation, responsive media, tables, forms, native interactions, accessibility, validation, security, resilience, and a complete semantic capstone. Each lesson includes a live HTML editor, sandboxed preview, matching and ordering activities, debugging work, retrieval practice, quizzes, reflections, and AI coaching prompts.

• 12 in-depth semantic HTML lessons
• Live editor and sandboxed preview
• Matching, ordering, and debugging activities
• Retrieval practice and AI coaching prompts
• Saved progress, code, notes, and review queue

HTML articles

Progress through the full design process: defining project goals, planning layouts and content, applying visual design principles, building responsive pages, running critique challenges on your own work, checking accessibility, and preparing a site for publishing. Every lesson follows the Vibe Learning loop with AI coaching prompts to reinforce your reasoning along the way.

• 16 structured, project-based lessons
• Live design labs and critique challenges
• Accessibility and usability checks
• Context-rich AI coaching prompts
• Saved progress and personal review queue

Web design articles