How to Put an AI Portfolio on Your Resume
Built AI tools, chatbots, or vibe-coded apps? Here's how to list them on your resume — what details to include, how to link your portfolio, and what recruiters look for.
Updated April 25, 20267 min readWritten by the MatchResume.ai team
Try MatchResume FreeKey takeaways
- One shipped, linkable AI project with real users or a clear outcome outweighs five half-finished experiments.
- Use the project entry format: project name, tech stack (including AI tools), one-line outcome, and a live link or GitHub URL.
- Deployed applications carry more weight than notebooks; if it works in production, lead with that.
What Counts as an AI Portfolio in 2026
An AI portfolio in 2026 means any collection of shipped work where AI tools were a meaningful part of the build — not just a demo you ran in a tutorial.
- Deployed SaaS or tool built with Claude Code, Cursor, or Copilot
- LLM-powered application: chatbot, document Q&A, code review tool, agent workflow
- Fine-tuned or RAG-based model with a working demo
- Open source contribution to an AI framework (LangChain, LlamaIndex, etc.)
- Internal automation tool built with AI coding agents (if you can describe it without sharing confidential details)
Project Entry Format: Name, Stack, Outcome, Link
Each project entry on your resume should answer four questions in three lines or fewer.
Project entry format
Before
AI Chatbot Project • Built a chatbot using AI tools • Deployed online
After
ResumeBot — LLM-powered job fit analyzer Stack: Next.js, Claude API, PostgreSQL, Vercel | Built with Claude Code • 500+ active users; 4.8/5 rating from beta cohort | github.com/you/resumebot
How Many Projects to List and Which to Prioritize
2–4 projects is the sweet spot. More dilutes attention; fewer can look thin for roles where projects are the primary signal.
- Lead with the project most relevant to the target role
- Prioritize deployed projects over local demos
- Include at least one project that shows AI tooling and one that shows core engineering
- Remove a project if you can't explain the implementation in an interview
Linking to GitHub, Deployed Apps, or Demos
Every project entry should have at least one link. The link type signals how serious the work is.
| Link type | Signal |
|---|---|
| Live deployed app (e.g. vercel.app, custom domain) | Strongest — shows real completion |
| GitHub repo with good README and commit history | Strong — shows engineering discipline |
| Loom or video demo | Acceptable — useful if the app can't be publicly deployed |
| Jupyter notebook or Colab | Weak for product roles — fine for ML/data science roles |
When Your Portfolio Does the Talking
For some roles — developer advocate, founding engineer, staff engineer — a strong portfolio link in the header can carry more weight than the resume itself. Lead the recruiter there early.
- Add your portfolio URL to the contact line: Name | email | LinkedIn | yourportfolio.com
- Include a one-line descriptor: 'AI tools portfolio: 4 deployed apps, 1K+ users'
- Make sure every project on the site matches what's on the resume — inconsistencies create doubt
AI Projects That Look Strong vs Projects That Raise Questions
| Looks strong | Raises questions |
|---|---|
| Deployed app with real users and metrics | Prototype that 'works locally' |
| Clear README explaining architecture and AI tool usage | No README or README is AI-generated boilerplate |
| Commit history showing real iteration | Single commit of an AI dump |
| Tests, CI, basic monitoring | No tests, no error handling |
| Outcome stated in numbers (users, time, accuracy) | Vague: 'useful tool for productivity' |
FAQ
Should I include a vibe-coded app I built in a day?
Yes, if it's deployed and working. Describe what it does, what tools you used, and why someone would use it. A one-day build that's live is stronger than a two-week build that never shipped.
Where should the portfolio link go on my resume?
Header section next to your LinkedIn, and also inline with your most relevant project entry if you have one standout project.
What if my AI projects used proprietary company data?
Build a personal side project that demonstrates the same capability. Alternatively, describe the project type and outcome without sharing confidential specifics.
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