Zero-to-Hero Agentic Literacy
- Track lifecycle
- Draft
- Learner availability
- Drafting
- Owner
- Unassigned
Understand what changes when AI can act—choose what to delegate, set limits, and verify what happened.
Track Promise
Understand what changes when AI can act—choose what to delegate, set limits, and verify what happened.
An assistant may be able to read files, retrieve information, prepare changes, or use connected tools. The important question is what you want it to do, what you have authorized, and how you will know what happened. A confident answer, a plausible plan, permission to act, and a verified result are different things.
This Track follows basic AI literacy. It is for people who want to understand tool-using assistants without needing to become programmers or systems engineers. “Zero-to-Hero” does not mean maximum autonomy is the destination: choosing a simpler chatbot, narrowing a task, or declining delegation can be the useful result.
Start Here
Begin with From Chatbot to Agent, this Track’s proposed signature module. No module source exists yet. It will introduce what changes when a system can take actions beyond producing an answer.
The intended first practice compares a chatbot answer with a tool-using plan for the same small task, such as organizing fictional event notes. Identify what each version receives, what it proposes to change, what permission it would need, where a person must approve, and how the result would be checked. The labels “chatbot” and “agent” are not enough; inspect the capabilities actually available in the example.
The intended take-home result is a short delegation checklist: purpose, human owner, allowed information and actions, prohibited actions, approval points, verification, and a stop condition. Reviewing a plan does not itself authorize execution.
Signature package still missing: Compare a chatbot answer to a tool-using assistant workflow is a proposed activity direction, not a settled Lab title or existing package. The module, complete Activity, standalone Notebook, reviewed answer/plan examples, and facilitator guide need to be built. The simple delegation checklist belongs within this first practice.
Safe practice environment not yet selected: a live extension needs disposable practice files, enforced permission limits, visible action records, tested stop/reset behavior, and facilitator review. Until that environment and package are reviewed, the proposed entry remains a plan comparison—not instructions to connect a real account or let an assistant act on personal files.
If basic chatbot use is new, start with AI Literacy for the Rest of Us. Its existing practices cover making requests, protecting information, steering, and checking answers. Agentic Literacy builds from those habits; the missing signature does not replace them.
The Delegation Loop
Choose → Bound → Review → Authorize → Observe → Verify and decide
- Choose: define one useful task and ask whether tool use is needed at all.
- Bound: name permitted sources, tools, actions, and limits. Keep access narrower than the whole account, folder, or workflow.
- Review: inspect the plan, assumptions, likely consequences, and recovery needs. Have enough information and time to disagree.
- Authorize: approve a specific action within a specific scope, or decline it. A changed task or broader permission needs a new decision.
- Observe: distinguish proposed, attempted, completed, and blocked actions. In plan-only practice, mark an action as hypothetical rather than reporting that it ran.
- Verify and decide: check actual outputs or state against the intended result, using evidence beyond the assistant’s claim of success. Keep, repair, narrow, stop, or return to human work; more autonomy is not the default next step.
Explore What Changes When AI Can Act
These three developing routes extend the signature. They are planning directions, not ready courses. Their named modules and Labs have no source pages yet.
Developing route
Choose tools and permissions
Separate what a tool can do from what it may do for this task. Reading, editing, sending, purchasing, and changing account settings have different consequences.
Permissions and Sandboxes; Tools, Actions, and Connectors Proposed · no module sources
Lab idea: Identify which permissions a task would require — proposed, no Lab source.
Missing: low-risk permission examples, a reviewed tool environment, denied-action examples, and a complete Activity and Notebook. A prompt asking an assistant to stay in bounds is not an enforced permission boundary; a sandbox’s actual limits need checking.
Facilitator route demonstration: Coming Soon
Developing route
Bound context and memory
Ask what information is available for this task, what may persist, and what should stay out. Saved preferences and retrieved text do not grant authority to act.
Memory in Agentic Systems Proposed · no module source
Missing: reviewed examples distinguishing current conversation, saved memory, files, and retrieved material; a guided Activity; and a standalone Notebook. Practice must include stale or untrusted content and show why a fresh conversation or deletion is not proof that every copy or connected permission has gone away.
Facilitator route demonstration: Coming Soon
Developing route
Review and recover
Inspect a plan before action, compare the observed result with the goal, and know what to do when a step fails or the system changes.
Planning and Review Loops; Deploying Version 2 Proposed · no module sources
Lab idea: Review an agent's plan before allowing any action — proposed, no Lab source.
Missing: a reviewed plan/action/result comparison, failure and partial-completion examples, a stop-and-recovery exercise, and a standalone Notebook. Update and deployment work is later depth, not a beginner setup requirement. A retry can repeat a completed action; a rollback must be demonstrated, not assumed.
Facilitator route demonstration: Coming Soon
Strengthen Your Practice
These existing sources support the Track. Their Labs build conversational, context, privacy, and evidence habits; they do not establish that a learner can operate an agent safely or fill the missing live-tool environment.
- Conversation Engineering — Sketch / Planned → Stay, Steer, or Start Over, Beta, with its standalone Notebook. Practice noticing drift and choosing the next conversational move.
- Context Engineering — Sketch / Planned → Build the Brief Before the Work, Beta, with its standalone Notebook. Define the task and sort source material before asking for an output.
- Safety: Share Less, Notice More — Draft / Drafting → What Else Came Along?, Beta, with its standalone Notebook. Inspect information and authority boundaries before supplying material or tool access.
- Reality Check for AI — Draft / Drafting → Reality Check for AI: Six Experiments, Beta, with its standalone Notebook. Practice testing claims against observations and independent evidence.
Conversation Engineering’s metadata names Prompting Is the Door, Not the Destination as preparation; Context Engineering names Conversation Engineering. Those dependencies remain unchanged. Choose support for the gap you have rather than treating this list as a new compulsory sequence.
Keep untrusted instructions in files, web pages, messages, or tool results separate from the human’s authorization. Do not give a practice assistant secrets, payment access, private correspondence, or broad account permissions. Review and approval should remain meaningful choices, not a click-through habit.
Optional: Explore Organizational Delegation or Building
Decision Ownership Before Delegation remains Seed / Planned, Business level, owned by Mike, and primary to AI Readiness. It is later organizational depth, not the beginner signature. Its stated Friction Mapping dependency remains in place.
The module’s proposed Decision Ownership Map and Delegation Ladder and Control Plan have no canonical Lab package or Notebook. Its staged authority model needs organizational examples, privacy review, and domain guidance before delivery. Assist or Recommend may remain the best operating point.
Why High-Value Automation Can Still Be a Bad First Move Proposed · no module source is a later direction for weighing consequence, review effort, reversibility, and recovery before expanding delegation.
If your question becomes building a tool, follow Agentic Coding. If it becomes designing ownership, evaluation, and recovery across a whole system, explore Systems Thinking and AI Engineering. Those are separate paths, not required graduation destinations.
Participation and Access
The intended signature supports a reviewed, supplied answer-and-plan comparison on paper or screen, without a learner account. Learners may write, discuss, observe, or direct a partner. A facilitator-operated or learner-operated live extension is a separate future option after the environment is reviewed. The comparison packet and live extension are both still missing.
No coding, paid subscription, personal account connection, public post, or action on real personal or workplace files is required for the proposed entry. Use fictional or permitted low-risk practice material. A plan-only participant can make the full delegation decision without pretending an action occurred.
Actual tool operation requires its own setup, permission checks, accessible alternatives, and support. If access or consequences are unclear, stop. Removing a tool’s future access does not undo actions it already took.
For Facilitators
First build priority: From Chatbot to Agent and its complete comparison Activity, standalone Notebook, reviewed examples, and facilitator guide. The Notebook must contain enough instruction to do the whole activity without the module page. Keep vendor-neutral concepts first; select and review a concrete environment before claiming live practice is ready. The first walkthrough demonstration remains Coming Soon.
After the comparison package receives review, pilot one short route: compare answer and plan, mark permissions and approval points, make a delegation checklist, and explain a human decision. Record actual timing, friction, misunderstood boundaries, and access needs. A correct checklist is not evidence that a tool executed correctly.
Before a live pilot, verify the disposable materials, least-necessary access, limits, visible records, and stop/reset path. Include a denied or blocked action and a result the learner can check. Keep reading, preparing, executing, and publishing distinguishable. No live extension should connect personal accounts, send real messages, make purchases, or require irreversible public actions.
Additional Reading
No additional reading is listed yet.
Status and Feedback
This Track remains Draft / Drafting, owner Unassigned. Its signature and developing routes are proposed, not built. The existing support sources and business-depth module retain their statuses, dependencies, ownership, and primary Track relationships. A linked source is something to review, not proof of workshop readiness.
The shared Track Map records the composition and links the historical outline. Use this page’s Track feedback and review links for the promise, starting point, route roles, status clarity, and missing or misplaced modules and Labs. Does the entry make the difference between an answer and an action clear? Are permission and verification visible enough? Are business delegation and tool-building kept at the right depth?
Teaching details belong in separate Module and Lab reviews. This pass creates no module, Lab, Notebook, example packet, demonstration, live practice environment, or new curriculum status.
Team review information. You are viewing the team review site. The contributor review tools below are separate from the learner activity and learner feedback.
Review status
- Package lifecycle: Draft
- Learner availability: Drafting
- Review needs: Needs track-level composition, permission-boundary, practice-environment, accessibility, and pilot review.