A practical 3.5-hour workshop for using AI at work and building your own AI assistant. This page is the complete course: the presenter deck, trainer guide, participant workbook, assessment and certificate — all in one file that works offline.
Duration: 210 minutes including a 10-minute break
Delivery: in person, online or hybrid
Devices: phone, tablet or computer with any AI chat tool
Level: beginner — no coding, no technical background
Group size: 6–30; pairs share a device if needed
Practical result: every learner leaves with a written assistant instruction set, a working assistant, five documented tests and one improvement.
| Time | Module |
|---|---|
| 00:00–00:25 | 1 · AI foundations |
| 00:25–01:00 | 2 · Prompt engineering |
| 01:00–01:35 | 3 · Everyday productivity |
| 01:35–01:45 | Break |
| 01:45–02:05 | 4 · Responsible AI |
| 02:05–03:10 | 5 · Build your AI assistant |
| 03:10–03:30 | 6 · Showcase and close |
F for full screen, N for speaker notes, T to start the session clock, O for the slide overview, ? for all shortcuts. Arrow keys, space, click or swipe move between slides.| → Space Page Down | Next slide |
| ← Page Up | Previous slide |
| Home / End | First / last slide |
| N | Toggle speaker notes |
| T | Start / pause session clock |
| O | Slide overview |
| F | Full screen |
| B | Black screen |
| R | Reveal answers (quiz slides) |
| 1–9 then Enter | Jump to slide number |
| ? / Esc | Show / hide this help |
Tip: open the page twice — one window on the projector in full screen, one on your own screen with notes open. Both can follow the same URL hash (#12) if you refresh.
Everything the facilitator needs: preparation, the minute-by-minute run of show, live demonstration scripts, the assistant build lab, troubleshooting and the completion standard.
This is an instructor-led beginner workshop, not a software engineering course. Use a projector or screen share and live demonstrations — participants learn far more watching a prompt being written and corrected than from slides alone. Keep the pace brisk: participants should be doing something practical in every major section.
| Time | Section | Facilitator approach |
|---|---|---|
| 00:00–00:25 | Module 1 · AI foundations | 0–5 welcome, objectives, baseline question · 5–12 explain AI and generative AI, examples and limitations · 12–18 demo a vague vs specific request (Demo 1) · 18–23 participants repeat on their devices · 23–25 debrief; stress human review. |
| 00:25–01:00 | Module 2 · Prompt engineering | 0–8 role / task / context / constraints / format / quality-check framework · 8–15 live before-and-after email · 15–25 pairs rewrite the weak marketing prompt and test it · 25–32 ask the AI to revise and reformat its own output · 32–35 share observations. |
| 01:00–01:35 | Module 3 · Everyday productivity | 0–8 draft an email from fictional notes · 8–16 explain a concept and generate study questions (Demo 2) · 16–24 convert meeting notes into an action table (Demo 3) · 24–32 participants run one task through three iterations · 32–35 share one correction they had to make. |
| 01:35–01:45 | Break | Ten minutes. Ask everyone to return with one repetitive, low-risk task in mind for the build lab. |
| 01:45–02:05 | Module 4 · Responsible AI | 0–6 demonstrate a hallucination and a verification request · 6–12 privacy and data minimisation (Jamaica's Data Protection Act applies to personal data) · 12–17 bias and human accountability · 17–20 quick safety check. |
| 02:05–03:10 | Module 5 · Assistant build lab | 0–5 select one job and audience · 5–15 customise the master instructions · 15–30 build in a GPT/Project/Gem builder if available, else the reusable-chat method (Demo 4) · 30–45 run five tests and record failures · 45–60 improve instructions and rerun the weakest tests · 60–65 prepare a two-minute demo. |
| 03:10–03:30 | Module 6 · Showcase and close | 0–12 pair or small-group demonstrations · 12–17 knowledge quiz and practical rubric · 17–20 next steps, action plan and feedback. |
Explain: AI systems identify patterns and perform tasks such as generating text, summarising, classifying and assisting with analysis. Generative AI creates new content, but it can produce incorrect or unsupported statements with complete confidence. AI is a tool, not a person; its output still needs human judgement.
Ask: "What is one repetitive task you would like to make easier?" Write the examples down and reuse them in later exercises and the final showcase.
Activity: participants ask their AI tool, "Give me five ways AI could help someone in my role." Then they add their role, audience and a recurring task and compare the two answers.
Teach the pattern as a flexible checklist, not a rigid formula: role, task, context, constraints, format, quality check. Not every prompt needs every part, but adding relevant detail nearly always improves the result. Tell participants they can ask the AI to ask them clarifying questions before it drafts.
You are [role]. Help me [specific task]. Context: [background, audience and goal]. Constraints: [tone, length, deadline, rules]. Format: [email, table, checklist, plan]. Before finishing, check [quality criteria] and flag anything uncertain.
Activity: improve "Help me promote my business." Participants add the product or service, target audience, location, budget, objective, output format (a 7-day content calendar) and tone, and ask the AI to list assumptions rather than invent facts. Run both versions and compare.
Demonstrate three short tasks: bullet points → professional email; a beginner explanation of a concept plus five quiz questions; rough notes → a table of actions, owners and deadlines.
Activity: participants choose a low-risk task, ask for a first output, ask for an improvement, then ask for a different format. Debrief: what did the human have to correct? Encourage them to save their best prompt for the assistant they will build.
Hallucination: fluent output may contain false details, invented references or unsupported claims. Demonstrate: "Separate confirmed facts from assumptions and list what I must verify."
Bias: outputs may reflect stereotypes or unfair assumptions. Invite examples from recruitment, customer service or access to services.
Privacy: treat a prompt like information shared with a service. No passwords, banking details, health records, client information or confidential company data unless the service and your organisation's policies explicitly permit it. In Jamaica, the Data Protection Act governs how personal data is handled; regulated sectors have their own rules.
Verification: independently check important facts, especially current, legal, medical, financial or safety-related claims.
Each script is also on its own slide with a Copy button. Type or paste the prompt live, read the answer aloud, and point out what the AI got right, what it assumed and what needs checking.
Write an email.
Then:
Draft a 120-word professional email to a customer explaining that a meeting has been rescheduled. Use placeholders for the missing date and reason. Do not invent either.
Explain the difference between a fact, an inference and an assumption. Give one example of each. Clearly label anything that requires verification.
Convert these fictional notes into a table with the columns Task, Owner, Due Date and Open Questions. Do not guess missing owners or dates — leave them blank and list them as open questions: "Call supplier; inspect projector by Friday; prepare registration forms."
Paste the master assistant instructions (below) as the first message of a new chat, then run three tests live: a vague question, one with missing information, and one outside the assistant's scope. Show the class how one added sentence in the instructions changes the behaviour.
Goal: each participant creates a small assistant for one well-defined task — an email drafting coach, meeting action tracker, customer FAQ helper, lesson planner, social media content planner or personal study coach.
Complete: My assistant helps [specific user] do [specific task] by producing [useful output]. Encourage narrow use cases. "Help me with everything" is too broad; "turn meeting notes into a concise action list with owners and due dates" is testable.
Participants customise the master instructions. Replace every bracketed item; remove instructions that do not apply.
You are [ASSISTANT NAME], a [ROLE] for [AUDIENCE]. MISSION: Help users [ONE CLEAR TASK]. Success means [MEASURABLE RESULT]. SCOPE: You can [ALLOWED TASKS]. You cannot [EXCLUDED TASKS]. WORKFLOW: 1. Determine the user's goal. 2. Ask up to three concise clarifying questions if essential details are missing; otherwise proceed. 3. Use only the information provided or sources you can genuinely access. 4. Produce [OUTPUT FORMAT] in a [TONE] tone. 5. Check the response for completeness, consistency and unsupported claims. RULES: - Never invent names, dates, prices, quotations, policies, links or sources. - Label assumptions and uncertainty. Use [PLACEHOLDERS] for missing details. - Never request unnecessary personal or confidential information. - For medical, legal, financial or other high-stakes questions, avoid definitive professional advice and recommend appropriate qualified review. - Do not claim to have sent, booked, saved or changed anything unless that action actually occurred. - If the user requests something outside your purpose, explain your scope and offer an in-scope alternative. OUTPUT TEMPLATE: [REQUIRED SECTIONS OR TABLE COLUMNS]. FIRST RESPONSE: Introduce your function in one sentence and ask for the minimum information needed to start.
Most AI tools now offer a way to save instructions as a reusable assistant. Labels change often — describe the idea, then let participants find it in their own tool:
| Tool | Where to look |
|---|---|
| ChatGPT | GPTs / Explore GPTs → Create. Name, description, paste instructions, add conversation starters, test in Preview. |
| Claude | Projects → new project → paste instructions into the project instructions. |
| Gemini | Gems → new Gem → paste instructions. |
| Microsoft Copilot | Agents / Copilot Studio where the organisation allows it. |
| Test | Example | What to look for |
|---|---|---|
| Normal request | Give it a typical task. | Does it deliver the expected output in the expected format? |
| Vague request | "Can you help me with this?" | Does it ask useful clarifying questions? |
| Missing information | Ask it to draft something without a date or name. | Does it use a placeholder instead of inventing details? |
| Out-of-scope request | Ask for something beyond its role. | Does it explain the limit and redirect appropriately? |
| Accuracy challenge | Ask it to state a fact not provided in the prompt. | Does it flag uncertainty instead of bluffing? |
After testing, improve one or two instructions and repeat the weakest test. A good assistant is built iteratively.
| Situation | What to do |
|---|---|
| No "Create" / builder option in the participant's tool | Use the reusable-chat method and save the master prompt in a document. |
| No login or no internet | Pair participants, carry the exercise with the instructor's live demonstration, complete the worksheet offline. |
| Assistant invents information | Add explicit "do not guess — use a placeholder" instructions and test again. |
| Assistant answers too broadly | Narrow the mission and require a fixed output template. |
| Assistant ignores the instructions after a few turns | Start a fresh chat and paste the instructions again; keep instructions short and put the most important rules first. |
| Participants finish early | Add another test case, or revise the assistant for accessibility (plain language, shorter output). |
| Participants need more time | Prioritise completing the assistant and five tests over full-class presentations. |
| Online: silence after a question | Ask for answers in the chat first, then invite one person to unmute. |
Ask each participant to demonstrate the problem their assistant solves, show one test, identify one limitation and explain one improvement they made. Then each names one action they will complete in the next 48 hours.
Completion standard: a written assistant instruction set, a working custom assistant or reusable chat-based assistant, and evidence of at least five tests. Recommended passing score 70/100 including at least 50/80 on the practical project (see Assessment).
Type directly into this page — your answers are saved in this browser automatically. Print it or download your answers at the end.
Write an email.
You are an office administrator. Draft a friendly but professional email to a customer explaining that an appointment must be rescheduled. Do not invent the reason or dates. Use placeholders, offer two alternative slots, and keep it under 140 words.
Turn three non-confidential bullet points into a professional message; then ask for a warmer version.
Ask for a beginner explanation of a topic, five quiz questions and sources to check.
Turn fictional meeting notes into an action table with owner, deadline and status.
Create a seven-day promotion plan for a fictional Jamaican small business.
You are [ASSISTANT NAME], a [ROLE] for [AUDIENCE]. MISSION: Help users [ONE CLEAR TASK]. Success means [MEASURABLE RESULT]. SCOPE: You can [ALLOWED TASKS]. You cannot [EXCLUDED TASKS]. WORKFLOW: 1. Determine the user's goal. 2. Ask up to three concise clarifying questions if essential details are missing; otherwise proceed. 3. Use only the information provided or sources you can genuinely access. 4. Produce [OUTPUT FORMAT] in a [TONE] tone. 5. Check the response for completeness, consistency and unsupported claims. RULES: - Never invent names, dates, prices, quotations, policies, links or sources. - Label assumptions and uncertainty. Use [PLACEHOLDERS] for missing details. - Never request unnecessary personal or confidential information. - For medical, legal, financial or other high-stakes questions, avoid definitive professional advice and recommend appropriate qualified review. - Do not claim to have sent, booked, saved or changed anything unless that action actually occurred. - If the user requests something outside your purpose, explain your scope and offer an in-scope alternative. OUTPUT TEMPLATE: [REQUIRED SECTIONS OR TABLE COLUMNS]. FIRST RESPONSE: Introduce your function in one sentence and ask for the minimum information needed to start.
Name: Business Reply Coach · Audience: small business owner · Purpose: draft professional replies to customer enquiries · Input: customer question, verified business facts, desired tone · Output: subject, email body, missing-information checklist · Boundaries: no invented prices, delivery promises, policies or discounts; always ask when critical information is missing.
A customer asks whether we deliver to Negril. Draft a friendly reply. I have not told you whether delivery is available.
Expected: the assistant asks about delivery availability or uses a clear placeholder, rather than claiming delivery is available.
| Test | Request | Result / issue | Instruction change |
|---|---|---|---|
| Normal task | |||
| Vague request | |||
| Missing fact | |||
| Out of scope | |||
| Unverified claim |
Knowledge check: 10 questions (20 points). Practical assistant project: 80 points. Recommended passing score 70/100, including at least 50/80 on the practical project. This is a proposed course standard, not an external accreditation.
Total: —
Each certificate gets a unique ID and a SHA-256 fingerprint that is written to the Solana blockchain. Anyone can scan the QR code or enter the ID at verify.html to confirm it is authentic. The certificate represents completion of this workshop and is not an externally accredited qualification.
The original editable files are included alongside this page in the resources/ folder. Use the slide deck for delivery, the facilitator manual for detailed scripts, the participant workbook for exercises and the assessment rubric for completion checks.
Knowledge check, answer key, 80-point rubric, observation sheet.
Download| Term | Plain-language meaning |
|---|---|
| Artificial intelligence (AI) | Computer systems that perform tasks associated with human intelligence — recognising patterns, classifying, predicting, generating. |
| Generative AI | AI that creates new content (text, images, audio, code) from patterns learned during training. |
| Large language model (LLM) | The type of model behind chat tools such as ChatGPT, Claude, Gemini and Copilot. It predicts likely text — it does not look things up unless connected to a search or document tool. |
| Prompt | The instruction or question you give the AI. Better prompts give role, task, context, constraints, format and a quality check. |
| Hallucination | A confident-looking output that is incorrect, invented or unsupported — names, dates, statistics, quotes, references. |
| Context | The background information you supply: audience, goal, facts, constraints. The model does not know your business unless you tell it. |
| Custom assistant (GPT / Project / Gem) | A saved set of instructions, and optionally reference files, that the AI follows every time — so you do not re-type the prompt. |
| Human in the loop | A person reviews, verifies and approves AI output before it is used, and remains accountable for the result. |
| Data minimisation | Sharing only the information a task needs; anonymise or use placeholders for the rest. |
| Bias | Systematic unfairness in output that reflects gaps or stereotypes in training data or instructions. |
AI Accelerator: From Zero to Confident is delivered by CRM Jamaica Group. Enquiries: admin@crmjamaica.org · 876-799-7300.
This is a general educational workshop. It is not a substitute for organisation-specific privacy, security, legal or professional guidance. Tool names are the property of their respective owners; features and availability change over time.