# No-code AI agent project checklist

A starter checklist for building a practical no-code AI agent around a repeat professional workflow.

Canonical URL: https://www.ai-workshops.ca/resources/no-code-ai-agent-project-checklist

Audience: Professionals preparing for a hands-on AI agent workshop

Author: Anthony Badowich, AI workshop instructor

Published: 2026-06-07

Last updated: 2026-06-07

Summary: A first AI agent project works best when the workflow is narrow, repeatable, and easy to test. Define the goal, inputs, tools, examples, approval points, and quality checks before automating anything.

## Key takeaways
- Start with one narrow workflow that has repeat inputs and a reviewable output.
- Collect good examples before building so the agent can be tested against a real quality bar.
- Add human approval wherever the workflow touches customers, money, sensitive data, or business-critical systems.

## Before you build
Choose a workflow you already repeat and can explain. Avoid starting with the most sensitive or ambiguous process in your job. The best first project has a clear trigger, clear source material, and a draft output a person can review.
- Name the workflow and desired output.
- List the inputs the agent needs.
- Collect two or three examples of good work.
- Decide which tools or documents are needed.

## During the build
Write clear instructions, give the agent useful context, and test it on realistic examples. Keep human approval in the loop wherever judgment, money, customer communication, or private data is involved.

## Before you trust it
Run the agent against known examples, compare outputs to your quality bar, document common mistakes, and add checks before increasing automation. Treat the first version as a controlled assistant, not an invisible employee.

## What to document
Document the goal, inputs, connected tools, allowed actions, forbidden actions, review owner, test examples, and fallback process. This makes the agent easier to improve and safer for someone else to use.

## Step-by-step checklist
1. Write the workflow card: Define the trigger, inputs, output, user, reviewer, and success criteria in one short document.
2. Build the first draft agent: Give it instructions, examples, source material, and a narrow output format. Do not connect irreversible actions yet.
3. Test and revise: Run known examples, compare against expected output, add missing rules, and document failure cases.
4. Add controlled tool use: Only after draft quality is reliable, connect tools that prepare or prefill work for human review.

## Examples
- Operations - Request triage: Read incoming requests, classify urgency and owner, identify missing information, and draft an internal handoff. Output: Triage table with suggested owner and questions to ask.
- Marketing - Content refresh checklist: Review an existing page, compare it with campaign goals, and suggest updates for accuracy, clarity, and calls to action. Output: Prioritized update checklist for human editing.

## Common pitfalls
- Starting with live automation too early: Use the agent to draft and prefill first; add auto-send or auto-update only after repeated human-reviewed success.
- Testing only on one perfect example: Test on normal, messy, and edge-case inputs so failure modes show up before launch.

## FAQ
### How big should the first project be?
Small enough to explain in one paragraph and test with three examples. A narrow project can still save meaningful time if it repeats often.

### When should a no-code agent use external tools?
After the instructions and output quality work without tool access. Tools should be added for a specific purpose and with visible review for sensitive actions.

## Related roles
- Marketing
- Operations
- Sales
- Product
- Leadership
- Admin