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Mini Project Walkthrough

Mini Project Walkthrough

This mini project shows how several AgentForge™ agents can work together in a simple, realistic workflow. We will use:

  • Root Agent – coordinates and routes tasks
  • Summarizer Agent – condenses information
  • Diagnostics Agent – checks structure and health
  • RUNMATH Agent – performs accurate calculations

The goal: turn a messy idea into a clear, structured plan with correct numbers and a basic health check of the project.

Step 1: The User’s Messy Request

Imagine the user starts with something like this:

"I want to plan a small online course about AI safety for parents.
I’m thinking maybe 4–6 sessions, maybe 60–90 minutes each, but I’m not sure.
I’d like to cover risks, good uses, basic guardrails, and maybe some live demos.
I also want a rough idea of the total time commitment for families."

This is typical: a mix of ideas, ranges, and uncertainty.

Step 2: Root Agent Takes the Lead

The Root Agent receives the request first. Its job is to:

  • Clarify the goal
  • Break the problem into smaller tasks
  • Decide which helper agents to call

An example Root Agent response might conceptually look like:

[Root Agent]

- Goal: Design a mini course on AI safety for parents.
- Subtasks:
  1) Create a high-level outline of session topics.
  2) Estimate time commitment.
  3) Summarize the plan for easy sharing.
  4) Run a quick project health check.

Next steps:
- Ask Summarizer Agent to structure the main ideas.
- Ask RUNMATH Agent to calculate total time ranges.
- Ask Diagnostics Agent to check whether the plan
  is coherent and aligned with standards.

Step 3: Summarizer Agent Structures the Content

The Root Agent forwards the user’s messy description to the Summarizer Agent with a specific request:

[Root Agent → Summarizer]

"Summarizer Agent, please:
- Extract the key goals for this course.
- Propose a 4–6 session outline.
- Use clear bullet points."

The Summarizer Agent might respond with:

[Summarizer Agent]

Course Goal:
- Help parents understand AI safety, risks, and practical guardrails.

Proposed Outline:
1) Session 1 – What AI Is and How It Shows Up at Home
2) Session 2 – Risks and Misuses (Scams, Deepfakes, Privacy)
3) Session 3 – Positive Uses (Homework help, creativity, research)
4) Session 4 – Guardrails and House Rules
5) Session 5 – Live Demos and Q&A (optional)
6) Session 6 – Review, Resources, and Next Steps (optional)

Step 4: RUNMATH Agent Calculates Time Commitment

Next, the Root Agent asks the RUNMATH Agent to estimate total time. The user mentioned 4–6 sessions, 60–90 minutes each.

[Root Agent → RUNMATH]

"RUNMATH Agent, calculate:
- Minimum total time: 4 sessions x 60 minutes
- Maximum total time: 6 sessions x 90 minutes."

RUNMATH Agent responds with clean numbers:

[RUNMATH Agent]

Minimum total time:
4 * 60 = 240 minutes (4 hours)

Maximum total time:
6 * 90 = 540 minutes (9 hours)

The Root Agent can now present that clearly to the user.

Step 5: Diagnostics Agent Checks the Plan

Before calling the mini course “ready,” the Root Agent invokes the Diagnostics Agent to run a quick health check.

[Root Agent → Diagnostics]

"Diagnostics Agent, review this mini course plan.
Classify any findings as:
- critical
- recommended
- optional."

The Diagnostics Agent might respond:

[Diagnostics Agent]

Findings:

Critical:
- None.

Recommended:
- Specify target audience more clearly (e.g., 
  parents of teens vs. younger children).
- Decide if Sessions 5 and 6 are optional or part of
  a “premium” or extended package.

Optional:
- Add simple homework suggestions for each session.
- Include a brief survey at the end.

Step 6: Root Agent Delivers a Clean Summary

Finally, the Root Agent gathers all outputs and returns a clear response to the user:

[Root Agent]

Here is your structured mini course plan:

- Goal:
  Help parents understand AI safety, risks, positive uses,
  and practical guardrails at home.

- Outline:
  1) What AI Is and How It Shows Up at Home
  2) Risks and Misuses (Scams, Deepfakes, Privacy)
  3) Positive Uses (Homework help, creativity, research)
  4) Guardrails and House Rules
  5) Live Demos and Q&A (optional)
  6) Review, Resources, and Next Steps (optional)

- Time Commitment:
  Minimum: 4 hours total
  Maximum: 9 hours total

Diagnostics Summary:
- No critical issues.
- Recommended:
  - Clarify your target audience (age of kids).
  - Decide how optional sessions fit into your plan.

The user started with a vague idea. The agents, working together under AgentForge, produced a clear, structured, and numerically grounded mini project.

What This Mini Project Demonstrates

  • Root Agent coordinates and routes work.
  • Summarizer Agent turns loose ideas into structured content.
  • RUNMATH Agent handles exact numerical work.
  • Diagnostics Agent checks coherence and standards alignment.

This is a small example, but the same pattern can support much larger projects: documentation, training programs, research workflows, content pipelines, and multi-agent systems that need clarity and control instead of chaos.

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