ClaimDesk Agent

Inspiration

We kept running into the same problem: good opportunities arrive messy. A bounty link, a hackathon page, a forum post, a payout rule, and a platform login requirement all land in different places. It is easy to chase the biggest prize first and miss the practical work needed to actually submit and collect.

ClaimDesk Agent is our attempt to slow that first decision down. It gives a team a queue, a score, and a clear set of approval steps before anyone commits real build time.

What it does

ClaimDesk Agent turns an inbox of bounty, grant, support, and hackathon leads into a ranked review queue.

Each item is checked for the visible prize, deadline, platform requirements, account risk, and next action. The demo then routes the item into a queue and generates a short packet a human can review before moving forward.

The point is not to remove the person from the process. The point is to make the repetitive sorting work less chaotic, while keeping final account access, submissions, and payment steps under human control.

How we built it

The prototype is a browser based workflow demo built with HTML, CSS, JavaScript, a JSON inbox fixture, and Node.js build scripts.

We modeled the flow around a UiPath style automation process: intake, extraction, queue routing, human approval, and packet generation. The current version uses sample opportunity data so the workflow can be reviewed safely without exposing private accounts or payment information.

Challenges we ran into

The hardest part was deciding what the agent should not do.

Opportunity work often touches logins, payout setup, tax forms, and platform permissions. We did not want the demo to pretend those steps can be automated away. So the project keeps clear human approval gates and marks account owned actions separately from build tasks.

Accomplishments that we're proud of

We got the first version into a clear review flow instead of a loose dashboard. A reviewer can open the demo, move through the inbox, see why an item is ranked, and copy a packet that explains the next step.

We are also happy that the project is honest about human approval. It does not pretend that account access, final submissions, or payout steps should happen without the user.

What we learned

The useful part of an agent is not always the most dramatic part. In this case, the value is in sorting the queue, making risks visible, and helping the team pause before committing time.

We also learned that submission work needs a different kind of automation. It has to be careful around accounts, payments, and platform rules.

What's next for ClaimDesk Agent

Next we would connect the queue to the available UiPath surface and replace the fixture inbox with real intake sources.

We would also add reviewer comments, saved decisions, and cleaner handoff packets for teams that manage several opportunities at once.

Built With

• css
• html
• javascript
• json
• node.js
• uipath
• workflow