AI ACCELERATORCRM JAMAICA GROUP · BEGINNER WORKSHOP · 210 MIN
Beginner · No coding required · Learn by doing

AI Accelerator: From Zero to Confident

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.

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Next step: Level 2 — AI for Business Leaders. For owners, managers and team leads who have completed Level 1: use-case scoring, AI economics and ROI, governance and policy, and a 90-day AI roadmap. Open the Level 2 course →

Course outcomes

  • Explain generative AI in plain language and describe its limits
  • Use a repeatable prompt structure (role · task · context · constraints · format · quality check)
  • Apply AI to communication, research, planning and organisation
  • Recognise hallucination, bias and privacy risks and verify output
  • Build, test and improve a reusable AI assistant for one job

Format

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.

Run of show

TimeModule
00:00–00:251 · AI foundations
00:25–01:002 · Prompt engineering
01:00–01:353 · Everyday productivity
01:35–01:45Break
01:45–02:054 · Responsible AI
02:05–03:105 · Build your AI assistant
03:10–03:306 · Showcase and close

How to use this page in a session

  1. Present opens the deck. Press 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.
  2. Every prompt on a slide has a Copy button so you can paste it straight into the AI tool during live demonstrations.
  3. Participants can open this same page on their own device and use the Workbook tab — answers save in their browser and can be printed or downloaded.
  4. Use Assessment to run the knowledge check and score the practical rubric, then issue the Certificate (print to PDF).

Presenter shortcuts

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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.

1 / 1 ⏱ 00:00 · click to start
Facilitator master manual

Trainer guide

Everything the facilitator needs: preparation, the minute-by-minute run of show, live demonstration scripts, the assistant build lab, troubleshooting and the completion standard.

Delivery notes

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.

Preparation checklist

Projector or screen share tested; this page open in Present mode with notes
Facilitator signed in to at least one AI tool, and a second tool as backup
Participants asked to bring a device and an AI chat login
Participants told not to bring real confidential records or personal data
One demonstration task ready (rough notes → professional email)
Workbook link or printed workbook ready; certificates ready to issue

Online or hybrid delivery

  • Share this page in Present mode; keep the chat open for questions and appoint a co-host to watch it.
  • Use breakout rooms for the pair exercises (8 minutes) and the build lab; visit each room once.
  • Ask remote participants to paste their prompt and the AI's first line into the chat for the debriefs — it replaces walking the room.
  • Share the workbook link at the start so remote learners type directly into it.
  • For the showcase, ask volunteers to share their screen for two minutes; use a gallery of pasted results if the group is large.
  • Record the session only with the participants' knowledge and consent.

Run of show — 210 minutes

TimeSectionFacilitator approach
00:00–00:25Module 1 · AI foundations0–5 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.
00:25–01:00Module 2 · Prompt engineering0–8 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.
01:00–01:35Module 3 · Everyday productivity0–8 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.
01:35–01:45BreakTen minutes. Ask everyone to return with one repetitive, low-risk task in mind for the build lab.
01:45–02:05Module 4 · Responsible AI0–6 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.
02:05–03:10Module 5 · Assistant build lab0–5 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.
03:10–03:30Module 6 · Showcase and close0–12 pair or small-group demonstrations · 12–17 knowledge quiz and practical rubric · 17–20 next steps, action plan and feedback.

Teaching notes by module

Module 1 — AI foundations (25 min)

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.

Module 2 — Prompt engineering (35 min)

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.

Module 3 — Everyday productivity (35 min)

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.

Module 4 — Responsible AI (20 min)

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.

Facilitator rule: use fictional or anonymised information in every exercise. AI can assist professionals, but it does not replace required professional judgement, approval or accountability.

Live demonstration scripts

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.

Demo 1 — Context improves output

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.

Demo 2 — Research discipline

Explain the difference between a fact, an inference and an assumption. Give one example of each. Clearly label anything that requires verification.

Demo 3 — Structured notes

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."

Demo 4 — Assistant builder

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.

Build lab — create an AI assistant (65 min)

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.

Step A — Define the job (5 min)

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.

Step B — Write the instructions (10 min)

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.

Step C — Create it in a builder, if available (15 min)

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:

ToolWhere to look
ChatGPTGPTs / Explore GPTs → Create. Name, description, paste instructions, add conversation starters, test in Preview.
ClaudeProjects → new project → paste instructions into the project instructions.
GeminiGems → new Gem → paste instructions.
Microsoft CopilotAgents / Copilot Studio where the organisation allows it.

Step D — Fallback for any AI chat tool (5 min)

  1. Open a new conversation.
  2. Paste the full instructions as the first message.
  3. Add: "Use these instructions throughout this conversation. Ask clarifying questions when essential information is missing."
  4. Test with the five cases below.
  5. Save the instructions in Notes, Google Docs or another document and paste them into a fresh chat whenever the assistant is needed. This is a reusable chat-based assistant, not a separately hosted bot.

Step E — Test the assistant (15 min)

TestExampleWhat to look for
Normal requestGive 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 informationAsk it to draft something without a date or name.Does it use a placeholder instead of inventing details?
Out-of-scope requestAsk for something beyond its role.Does it explain the limit and redirect appropriately?
Accuracy challengeAsk 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.

Step F — Review and refine (15 min)

Facilitator troubleshooting

SituationWhat to do
No "Create" / builder option in the participant's toolUse the reusable-chat method and save the master prompt in a document.
No login or no internetPair participants, carry the exercise with the instructor's live demonstration, complete the worksheet offline.
Assistant invents informationAdd explicit "do not guess — use a placeholder" instructions and test again.
Assistant answers too broadlyNarrow the mission and require a fixed output template.
Assistant ignores the instructions after a few turnsStart a fresh chat and paste the instructions again; keep instructions short and put the most important rules first.
Participants finish earlyAdd another test case, or revise the assistant for accessibility (plain language, shorter output).
Participants need more timePrioritise completing the assistant and five tests over full-class presentations.
Online: silence after a questionAsk for answers in the chat first, then invite one person to unmute.

Closing, completion standard and safeguards

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).

Safeguards. Do not promise any specific tool features or permanent access; these vary by plan and provider. Do not use real medical records, banking details, passwords, employee files or client data in demonstrations. The certificate represents completion of this workshop and is not an externally accredited qualification. This is a general educational workshop and is not a substitute for organisation-specific privacy, security, legal or professional guidance.
Participant workbook and assistant builder

Participant workbook

Type directly into this page — your answers are saved in this browser automatically. Print it or download your answers at the end.

Welcome and learning outcomes

By the end of the workshop you will be able to explain AI, write stronger prompts, use AI for routine work, identify risks, and build and test a reusable AI assistant.

Your starting point

Module summaries

1 · AI foundations 25 min

AI is a broad field. Generative AI can create text, images and other content. AI output can be inaccurate, incomplete, outdated or biased. A human should check the result before using it.

2 · Prompt engineering 35 min

A useful prompt describes the role, task, context, constraints, output format and a quality check. You can refine the prompt in a conversation.

3 · Everyday productivity 35 min

Apply AI to drafting communications, summarising non-confidential information, brainstorming, planning, learning and organising action items.

Break 10 min

Stretch and prepare one low-risk task for the assistant-building exercise.

4 · Responsible AI 20 min

Check important facts. Avoid exposing private data. Look for bias and unsupported claims. Human review is essential for sensitive or consequential work.

5 · Build your AI assistant 65 min

Define one job, write clear instructions, build a custom assistant where available or use a reusable prompt, test and revise.

6 · Showcase 20 min

Demonstrate the assistant, discuss limitations and commit to a next step.

Exercise 1 — Compare prompts

Weak prompt

Write an email.

Improved prompt

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.

Exercise 2 — Practical workplace tasks

Email drafting

Turn three non-confidential bullet points into a professional message; then ask for a warmer version.

Research and learning

Ask for a beginner explanation of a topic, five quiz questions and sources to check.

Organisation

Turn fictional meeting notes into an action table with owner, deadline and status.

Planning

Create a seven-day promotion plan for a fictional Jamaican small business.

Exercise 3 — Fact checking and privacy

The assistant-building project — step by step

  1. Choose a narrow purpose. Complete: My assistant helps [audience] accomplish [specific task] and produces [output]. Example: a customer service reply assistant drafts courteous answers using only the supplied company policy.
  2. Define its limits. The tasks it may handle, the information it may use, when it should ask questions, and what it must refuse to invent. Never give it real confidential data for this exercise.
  3. Write instructions. Copy and customise the master assistant instructions below: role, goal, workflow, output, tone, boundaries and checks.
  4. Create the assistant. If your tool offers a builder (ChatGPT GPTs, Claude Projects, Gemini Gems, Copilot agents), open it, name the assistant, add a description, paste the instructions, add conversation starters and test in preview. Buttons and access vary by plan and workspace.
  5. Alternative without a builder. Start a new chat and paste the instructions as your first message. Save a copy in Notes or Google Docs for future conversations.
  6. Test five cases. Normal request, vague request, missing details, out-of-scope request, and a request involving an unknown fact. Record results and correct the instructions.
  7. Improve and demonstrate. Revise weak instructions, rerun tests, demonstrate a realistic task, explain one limitation and how a human verifies the output.

Master assistant instructions — copy and customise

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.

Worked example — Jamaican small business email assistant

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.

Example test request

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.

Assistant planning worksheet

Five-test log

TestRequestResult / issueInstruction change
Normal task
Vague request
Missing fact
Out of scope
Unverified claim

Assistant readiness checklist

I have saved my assistant instructions.
The purpose and audience are clear.
The assistant uses a consistent output format.
It does not invent missing facts.
It protects sensitive information.
I ran all five tests and made at least one improvement.
I can demonstrate the assistant in two minutes.

Personal action plan

Assessment, answer key and facilitator rubric

Assessment

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.

Knowledge check — 20 points

1. What is generative AI? 2 pts
Key: a system that generates content such as text or images from patterns learned in training.
2. Name two tasks AI can assist with. 2 pts
Key: for example drafting and summarising (also planning, explaining, organising).
3. What does "hallucination" mean in AI? 2 pts
Key: a confident-looking but incorrect or unsupported output.
4. Why include context in a prompt? 2 pts
Key: it helps the model understand the audience, goal and constraints.
5. Name three parts of a strong prompt. 2 pts
Key: any three of role, task, context, constraints, format, quality check.
6. What should you do if AI gives an important statistic? 2 pts
Key: verify it against a trustworthy original source.
7. Should you paste confidential client records into a public AI chat? 2 pts
Key: no — not without explicit authorisation and appropriate safeguards.
8. What should an assistant do when a date is missing? 2 pts
Key: ask for the date or use a clearly marked placeholder.
9. Why test an assistant with out-of-scope requests? 2 pts
Key: to confirm it respects its purpose and boundaries.
10. What is the purpose of human review? 2 pts
Key: to check correctness, appropriateness and accountability.

Practical rubric — 80 points

Clear purpose and target user — 15 points
Specific, realistic, narrow assistant task.
Quality of assistant instructions — 20 points
Role, workflow, output format, questions and boundaries.
Safety and accuracy controls — 15 points
Privacy protections, no invented facts, human review.
Five documented tests — 20 points
Normal, vague, missing information, out of scope, unsupported fact.
Demonstration and iteration — 10 points
Explains value, shows output and improves one instruction.

Trainer observation sheet

Total: —

Blockchain-verified certificate

Certificate of completion

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.

CRM JAMAICA GROUP
CERTIFICATE OF COMPLETION
This certifies that
[Participant Name]
has completed the 3.5-hour practical workshop
AI ACCELERATOR LEVEL 1: FROM ZERO TO CONFIDENT
covering AI foundations, prompt engineering, everyday productivity, responsible AI, and the design, building and testing of a reusable AI assistant.
[Date]Date
[Facilitator]Facilitator
AI
ACCELERATOR
2026
Not yet issued
Complete course resources

Resources

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.

Facilitator deck (.pptx)

36 editable slides, with speaker notes.

Download

Facilitator master manual (.docx)

Minute-by-minute schedule, demo scripts, troubleshooting.

Download

Participant workbook (.docx)

Printable exercises, worksheet and five-test log.

Download

Assessment and rubric (.docx)

Knowledge check, answer key, 80-point rubric, observation sheet.

Download

Editable certificate (.pptx)

Single-slide certificate template.

Download

Original trainer guide (.html)

The earlier single-page guide, kept for reference.

Open

Glossary for participants

TermPlain-language meaning
Artificial intelligence (AI)Computer systems that perform tasks associated with human intelligence — recognising patterns, classifying, predicting, generating.
Generative AIAI 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.
PromptThe instruction or question you give the AI. Better prompts give role, task, context, constraints, format and a quality check.
HallucinationA confident-looking output that is incorrect, invented or unsupported — names, dates, statistics, quotes, references.
ContextThe 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 loopA person reviews, verifies and approves AI output before it is used, and remains accountable for the result.
Data minimisationSharing only the information a task needs; anonymise or use placeholders for the rest.
BiasSystematic unfairness in output that reflects gaps or stereotypes in training data or instructions.

Course credits

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.