HirED

Inspiration

There are already a lot of resume enhancer tools out there that focus on making your resume more ATS-friendly, but that's just not enough anymore. You need to actually see your future by looking at your competitors and fellow applicants, and figure out how to fix your weaknesses while sharpening your strengths to stand out.

We kept running into the same limitations with existing job prep tools, so we thought: what if we tried building this with Claude instead?

When we consulted LLMs ourselves for job prep, the advice always stayed surface level. It never went deep enough into real job descriptions, actual activities, or anything concrete we could act on.

What it does

We built a multi-agent system that pulls from real data sources like job postings, potential mentors, certificates, and events.

How we built it

We built an agent environment and used it as the backend for a career coaching application.

Challenges we ran into

• Ddoski's world
• Fetch.ai
• UI/UX
• Deepgram
• Redis
• Pika
• TokenRouter
• Tech

Accomplishments that we're proud of

Our product can pull in people, events, posts, and pretty much all the information relevant to a job application.

We also designed our own reliable multi-agent system from scratch.

What we learned

Automating browser work without vision AI turned out to be really hard.

We also learned that a result looking fine on the surface doesn't mean it's actually reliable. We need some way to verify and certify that the output can be trusted.

What's next for

We want to build a verification layer that checks how reliable our agents' outputs actually are, instead of just trusting whatever looks polished on the surface.

We also want to move past heuristics and rule-based scraping, and bring in vision AI so agents can navigate and read web pages the way a human would, making data collection much more robust.

On top of that, we're planning to expand our data sources beyond job postings and events to include real conversations with mentors and alumni, so the advice feels less like a chatbot and more like an actual career coach who knows the industry.

Finally, we want to turn this into a continuous feedback loop, where the system tracks your applications over time and adjusts its recommendations based on what's actually working for you.

Built With

• cloudflare
• deepgram-sdk
• fastapi
• python
• react
• uagents