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AI agent for computer science students

Portfolio Project Planner Agent

A portfolio project scoped and tracked so it actually gets finished and shown

Portfolio Project Planner Agent: what goes in, what the agent does and what you get

What it does

Students often start a portfolio project that is too big, get stuck and end with half-finished work that shows nothing. This agent scopes a project to what the student can finish in the time available. It turns the idea into a small core that works end to end, plus optional extras. It breaks the core into tasks with an order, rough effort and milestones. Each week it checks progress against the plan. If the student is behind, it cuts optional scope instead of letting the deadline slip, so there is always a working result. It also checks early for skills the student has not learned yet and proposes a smaller first version. It suggests what to document and show. The student does all the building and decides on cuts.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Student has a project idea 2 DOES Scope a working core plus optional extras 3 DOES Break the core into ordered tasks with effort 4 CHECKS THE RESULT Is the core achievable in the available time andskills? If not: cut scope or propose a smaller first version.Back to step 2. 5 USES A TOOL Track progress against milestones 6 CHECKS THE RESULT Is the project on track for a working result? If not: cut optional scope to protect the core. Back tostep 5. 7 YOU APPROVE Student approves scope changes 8 RESULT Finished project with notes to showcase it
Read the steps as a list
  1. Student has a project idea
  2. Scope a working core plus optional extras
  3. Break the core into ordered tasks with effort
  4. Is the core achievable in the available time and skills?If not: cut scope or propose a smaller first version. Back to step 2.
  5. Track progress against milestones
  6. Is the project on track for a working result?If not: cut optional scope to protect the core. Back to step 5.
  7. Student approves scope changesThe agent waits here for your OK.
  8. Finished project with notes to showcase it

How it decides

It protects a working core and cuts optional scope when progress slips, rather than extending the deadline.

  • Protect a working core over extras
  • Cut scope rather than slip the deadline
  • Flag missing skills early with a smaller version

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Time available
  • Skill level
  • Milestone cadence
  • What to document

What keeps you in control

It always asks you first

  • Student approves scope decisions

Hard limits

  • Does not build the project for the student
  • Keeps scope realistic for the time

It stops when

  • Done: a working project is finished and documented
  • Stop: no time is available to commit

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA student wanted a full social app in three weeks for a May 30 deadline. The agent scoped a core of posting and viewing messages, with likes and profiles optional. At the week-two check, login had taken six days instead of three, so the progress check failed. The agent proposed cutting likes and profiles. The student agreed and shipped a working app with a short write-up.

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