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Module 1 v2 of the CitizenGO AI Agents Learning Path: understand chat vs projects vs agents vs skills, learn which tools you can use today, and choose your first real workflow with your manager by August 15.

In 60-90 minutes: learn the difference between chat, projects, agents and skills, find out exactly which tools you can use today, and pick the one real workflow you will improve by September 30.

Module 1 — Understand Agents and Choose Your Work

Module 2 of the CitizenGO AI Agents Learning Path: connect your agent to Asana, Drive, Gmail, Calendar and Slack with minimum permissions, test read-only first, then allow real actions safely.

In 90-120 minutes: connect your agent to the tools where your real work lives (Asana, Drive, Gmail, Calendar, Slack), with minimum permissions, a read-only first test, and a clear path to letting it act.

Module 2 — Connect Approved Tools Safely

Module 3 of the CitizenGO AI Agents Learning Path: turn one-off prompts into standing instructions with a Project, a six-part instruction structure, and an explicit quality test, then improve them across two real runs.

In 90-120 minutes: build a Project that holds your standing context, write reusable instructions with the CitizenGO six-part structure, define your quality test, and improve everything across two real runs of your workflow.

Module 3 — Context, Constraints, and a Quality Test

Module 4 of the CitizenGO AI Agents Learning Path: understand skills (reusable procedure packs), choose between skills, Projects and connectors, run an existing skill, and write your own workflow as a skill.

In 60-90 minutes: understand what a skill is, when to reach for one instead of a Project or a longer prompt, run an existing skill on your workflow, and write your own procedure as a skill draft.

Module 4 — Skills: Package What Works

Module 5 of the CitizenGO AI Agents Learning Path: the five keys to real value (onboard like a new hire, ask the agent, scheduled tasks, revision is training, work in public), and the September 30 documented-workflow deliverable.

In 60-90 minutes: the five working habits that separate teammates who get real leverage from agents from those who just experiment, and the documented workflow you deliver by September 30.

Module 5 — The Keys to Real Value

Module 6 of the CitizenGO AI Agents Learning Path: meet the Hall agents, learn the CitizenGO agent vocabulary (Ultron, mega-agents, Edge Twins, personal agents), the rules of engagement, and how to delegate real work to an approved agent.

In about 60 minutes: who's who in the CitizenGO agent team, the shared vocabulary from Ultron to personal agents, the rules of engagement, and your first real delegation to an approved agent.

Module 6 — The CitizenGO Agent Ecosystem

Knowledge-work lane of the CitizenGO AI Agents Learning Path: master ChatGPT Work deliverables, use Claude Cowork where available, and put Claude Tag to work in Slack. For campaigners, fundraising, operations, communications, finance, legal, and managers.

A role-based deep dive for non-developers: produce real deliverables in ChatGPT Work, use Claude Cowork where you have it, and delegate through Claude Tag in Slack. Complete only the lane that matches your chosen workflow.

Lane A — Knowledge Work: Master Your Agentic Surface

Technical lane of the CitizenGO AI Agents Learning Path: Codex and Claude Code (web and desktop), building reusable automations with skills, MCP, evals and permission boundaries. For developers and automation builders.

A role-based deep dive: coding agents in the terminal, IDE and cloud, plus the discipline that makes automations reusable: skills, MCP, evals, logging, and permission boundaries.

Lane B — Technical: Codex and Claude Code

Always-on lane of the CitizenGO AI Agents Learning Path: run and direct OpenClaw or Hermes agents on a Mac mini or Mac Studio, with schedules, memory, skills, security, monitoring and recovery. For teammates with approved always-on use cases.

For Mac mini and Mac Studio holders with an approved use case: run an always-on agent with OpenClaw or Hermes, on schedules, with memory, skills, hard security reading, and a recovery plan.

Lane C — Always-On Agents: OpenClaw and Hermes

Appendix of the CitizenGO AI Agents Learning Path: the full verified resource library from the AI Proficiency and Learning-Support Plan, organized by topic, with videos flagged. A reference, not a learning module.

The complete resource library behind this course: official help pages, docs, courses and videos, organized by topic. Use it as a reference whenever you need depth; the modules already contain the core path.

Appendix — Resource Library

The official CitizenGO learning path on working with AI agents. Six modules that take every team member from "what is an agent" to running always-on agents on real work.

The official CitizenGO learning path. Six practical modules that take you from understanding what an AI agent is to connecting agents to Asana, Slack, Drive and Gmail, and putting them to work on your real tasks.