Doctolib x Dust: Build AI Agents for Talent Acquisition
Your sourcing list is open. Your ATS is half-updated. Interview notes are scattered across docs, scorecards, and call summaries. The hiring manager wants market intel by tomorrow, and the candidate follow-up still needs to go out.
Talent Acquisition teams carry a huge amount of context, but most of it gets trapped between tools, messages, and memory. Market signals, salary benchmarks, interview feedback, pipeline updates, and manager briefs all matter. Keeping them connected manually is where the week disappears.
👉 This is a hands-on Talent Acquisition workshop with Xiaoxiang Liu from Doctolib and the Dust team. Bring your laptop and one recruiting workflow you want to fix. Leave with a working agent, practical ideas from other Talent operators, and a clearer view of what your TA team can automate safely.
We’ll build live around the workflows recruiting teams deal with every week:
Interview note synthesis for structured candidate feedback
Hiring manager brief agents grounded in role context and past decisions
Sourcing support agents for market mapping and candidate research
Candidate follow-up and pipeline update workflows
Salary, seniority, and competitor benchmark agents
Agenda
18:30 — Doors open, drinks
19:00 — Welcome and quick introductions
19:15 — Doctolib TA use case: how Xiaoxiang built internal recruiting agents around market intelligence and hiring insights
19:35 — Dust walkthrough: from one recruiting workflow to a shared team agent
20:00 — Guided build session
20:45 — Show what you built, questions, peer feedback
21:10 — Drinks and networking
21:30 — Wrap
About the hosts
Dust is the multiplayer AI system for human-agent collaboration. It gives teams a shared workspace where humans and agents work with the same company knowledge, tools, and goals. For Talent teams, that means moving from one-off prompts to reusable recruiting workflows that the whole team can build on.
Doctolib is sharing a practitioner view from inside its Talent Acquisition team. Xiaoxiang Liu will walk through how Doctolib has approached AI for recruiting, including internal work around market intelligence, interview notes, and workflows that help TA teams move faster with more context.
Who’s this for
Talent Acquisition and Recruiting teams
Talent Intelligence and Talent Marketing operators
Recruiting Ops and People Ops teams
Hiring leaders who want better recruiting workflows without adding more manual coordination
People teams already testing AI and ready to move beyond generic prompts
Bring a laptop and one recruiting workflow to fix. If you can, come with access to the tools or context you usually work from: ATS, scorecards, interview notes, role briefs, sourcing trackers, market mapping files, or candidate follow-up templates.
Food and drinks are on us.
📅 September 22
🕖 6:30–9:30 PM
📍 Dust office, address shared with approved guests