This is a submission for the Agent.ai Challenge: Full-Stack Agent (See Details)
What I Built
For the Agent.ai Challenge, I built an head hunter. This agent will take candidate search parameters from the recruiter to Google search and obtain the Linkedin profiles of the probable candidates. The agent will then rank the profiles and choose the best ones by comparing the candidates' Linkedin profiles to find the one with the most relevant experience and the best chance of keeping the job.
This will assist recruiter in finding and prioritising the candidates for further procession
This agent uses advanced features of Agent.ai like invoking serverless python utility, invoking other agent and user input based custom prompt to assist the recruiter to find high quality candidates for the job.
Key functionality:
Find candidates from LinkedIn using Google search
Fetch candidates profile from LinkedIn
Compare candidates profile and rank the candidates'.
Demo
Try the Head Hunter agent here
Agent.ai Experience
Agent.ai is an awesome platform for creating AI agents without any coding. Making an agent is very easy.
Individuals without a technical background can effortlessly develop an agent without needing to consult the documentation. Its connection with other platforms such as Google, LinkedIn, YouTube, and HubSpot is revolutionary. Serverless coding and its deployment are quite impressive, making integration into the workflow very easy while aiding in the development of complex processes. Chaining agents is an awesome feature.
Challenges encountered
While the documentation is generally sufficient, additional information would be beneficial for intricate tasks.
Integration with Payment Processors is necessary.
For enterprise clients, having support for Java / C# will be beneficial.
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The debugging tools/utilities have potential for enhancement like
a. The debugging panel and the agent run panel should be permitted to open simultaneously.
b. The documentation for the debugging utility is lacking.
Summary
Discovering Agent.ai was enjoyable. It allows for the rapid and simple creation of agents. While many features are needed for production use cases, the main product is fantastic.
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