Recruiters don't need more tools. They need tools that actually work together. π€
CVs buried in email. Slack blowing up with "what's the status?" Candidate data copy-pasted into yet another spreadsheet. It's exhausting.
So I built something about it. Inside Notion. π
Introducing the Notion ATS Agent, a custom AI agent that handles your entire recruitment pipeline from the second a candidate hits submit.
Here's what's running under the hood:
β Parses CVs into clean, structured data automatically
π Scores each candidate against the actual job description
π Cross-checks LinkedIn PDFs and flags anything that doesn't add up
π Pings your Slack channel at every key pipeline stage
π¬ Moves candidates with a simple conversational command
No new tools. No extra subscriptions. Just Notion being wildly underestimated again.
Honestly the hardest part? Making it behave with real-world messy inputs. Inconsistent CVs, half-filled profiles, vague job descriptions. That's where most of the iterations went.
FirstRound AI is a full-stack, AI-powered hiring and career development platform connecting employers and job seekers through intelligent automation.
Built with Base44, React, ElevenLabs, Tavus, and LLM integrations, it offers AI voice and video interviews, job discovery, candidate assessments, workforce training, and career simulations.
The platform unifies recruitment, applicant management, employer intelligence, and professional development into one scalable ecosystem.
I recently experimented with Ada by Adalo by developing Zipzy, a responsive quick commerce demo app.
The experience taught me how much clear requirements, precise prompts, and a well defined product vision matter when working with AI powered app development.
Now, I'm ready to help businesses migrate existing Adalo apps, validate new ideas, or develop applications from scratch.
Curious about my experience? Check out the project π
What does practical, agentic AI look like in a real business workflow?
Our new TechFoundry IMS case study walks through seven demosβfrom purchase-order intake and catalog conflict resolution to vendor orders, shipments, client shipping, and invoice reconciliation.
It shows how AI agents, document processing, and software integrations work together, with human review where judgment matters. Iβve also included the technology stack behind the platform.
Purchase-order intake and catalog conflict resolution feel like the right place to start with agents, since the pain is concrete. How do you handle the cases where the agent is unsure and a human has to step in?