Mohammad Mehrabani
Co-founderTavi
Tavi builds AI recruiting agents with context memory — the reason a search can get better every time you run one.

Webinar
Lunch & Learn


You brief the agent: "senior developer, fast learner, good culture fit, needed yesterday." It hands you fifty people who all describe themselves as fast learners. The agent did its job. The brief didn't. On October 8th, Mohammad Mehrabani (co-founder, Tavi) sits down with Cecilia Carignani (Workfully) to take one real role and brief it two ways: the lazy way, then the expert one, so you can watch the shortlist change while they do it. Typical advice about AI agents goes something like this… "give it more detail." Fine. Which detail? In what order? And what do you leave out so it doesn't chase the wrong signal? That's the gap this session closes. An open conversation about what these agents do, where they help, and what to keep an eye on, anchored on the one skill that decides the outcome: turning a fuzzy hiring need into a brief that works.
Mohammad, in five minutes, on what an AI recruiting agent does day to day, and what changes when it carries context from one search into the next. Search fifty shouldn't start from scratch like search one.
The core of the hour. Same role, two briefs, side by side. You'll see the do's and don'ts as they happen: the context that moves the shortlist, and the filler that just makes the prompt longer. An agent is only ever as good as what you hand it, and this is the part that proves it.
A good brief isn't only for agents. Cecilia makes the case for the same rigour when you hand a role to a specialist recruiter and, from Workfully's view across 1,200+ expert recruiters in 40+ countries, where roles fill fast and where they stall. It usually traces straight back to how the role was framed.
Bring the role you can't get right: the brief that keeps returning the wrong people, or the one you've never had to write down because a good recruiter just "got it." Both are fair game.
Co-founderTavi
Tavi builds AI recruiting agents with context memory — the reason a search can get better every time you run one.

Supply ManagerWorkfully
Cecilia manages the recruiter lifecycle, from onboarding to coaching, ensuring candidate supply while keeping human recruiters at the center of an AI-powered placement process.

Co-FounderTavi
I've spent 10 years helping build fast-growing business, three of which became unicorns. The one thing that always slowed us down: hiring.
Tavi is what I wish we'd had: AI infrastructure for recruiting. Tavi lives in Slack, or via MCP, works across your recruiting stack, and gets better the more you use it.
Built for AI-native talent teams building their own agentic recruiting workflows, and the recruiters and agencies who work alongside them.

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