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Cover image for Find the Right Agent for the Job—Fast
Aman Yadav
Aman Yadav

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Find the Right Agent for the Job—Fast

This is a submission for the Agent.ai Challenge: Full-Stack Agent (See Details)

What I Built

I developed I Know a Guy Who Knows a Guy, an AI agent designed to help users discover the perfect AI agents for their specific use cases. By searching through the Agent.ai agent network, this agent provides a curated list of AI agents that match the user’s requirements, saving time and effort in finding the right tools.

Why?

With the growing ecosystem of AI agents, finding the right one for a specific task can be overwhelming. This agent simplifies the process by acting as a “matchmaker” between users and the agents they need.

Envisioned Use Cases:

  • Helping developers find agents for specific tasks (e.g., summarization, research, image generation).
  • Assisting businesses in identifying agents for automation or analytics.
  • Enabling users to explore the Agent.ai ecosystem effortlessly.

Demo

Scenario: A user asks, “Find agents that can help in research of complex topics”

Image description

Link to run: https://agent.ai/agent/agent-finder?rid=8ec34a129ea54cda8684de65bc47f11c

Try it yourself: https://agent.ai/agent/agent-finder

Some agent runs:

Agent.ai Experience

Delightful Moments:

  • Rapid Prototyping: The platform’s intuitive interface let me spin up a functional agent in under an hour.
  • Debugging Made Simple: Real-time logs and error tracing helped me quickly identify bottlenecks in the research-refinement loop.
  • Out-of-the-Box Utilities: Pre-built tools like web data fetchers and source validators eliminated grunt work, letting me focus on core logic.

Challenges:

  • Caching Complexity: I struggled to implement a caching layer to avoid redundant web fetches.
  • Preview Quirks: The agent preview pane in Brave browser occasionally froze after code updates, forcing manual restarts. A smoother refresh workflow would save frustration.

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