Agentic-first · AI-native hiring

The recruiter's agent. Built to hire engineers who ship with AI.

Taali is the first agentic hiring platform — and the only one that measures how candidates actually use AI on the job. An autonomous agent runs your engineering pipeline 24/7 within a budget you set, and pauses for your judgment whenever a decision is consequential.

Agentic hiring

Taali's agent works your pipeline continuously across three loops — triage, assess, and decide. Every cycle it surveys each role, decides where the work is (fetch CVs, pre-screen, score, send assessments, queue advances or rejects), paces itself within budget, and asks you when it needs input it can't derive on its own. You set the criteria once; the agent recommends, and every consequential call — advancing or rejecting a candidate — stays with you.

AI-native assessments

Every Taali assessment opens a real, browser-based workspace with AI tools in the candidate's hands — Claude at the centre, your repo, a live editor, and a terminal — exactly the way engineers ship now. We don't block AI; we score how candidates use it. The runtime captures every prompt, paste, edit, file open, test run, and commit, then feeds a six-axis rubric so AI fluency is graded as a first-class dimension alongside craft.

How AI-native hiring works with Taali

AI-native hiring means the recruiting workflow itself is run by an AI agent, and candidates are evaluated on how effectively they use AI. Taali delivers both — an agentic pipeline plus AI-native assessments — so you hire engineers who ship well with AI, with a human in the loop on every decision.

Frequently asked questions

What is agentic hiring?

Agentic hiring is recruiting run by an autonomous AI agent that works your pipeline continuously within a budget you set, pausing to ask a human whenever a consequential decision needs judgment.

What is an AI-native assessment?

An AI-native assessment puts a candidate in a real workspace with AI tools in hand — rather than banning AI — and scores how well they collaborate with it alongside their code craft.

How does Taali measure AI fluency?

Taali scores AI collaboration as a first-class dimension — prompt quality, error recovery, context utilization, independence, design thinking, and debugging strategy — each linked to the exact moment in a prompt-by-prompt session replay.

Guides

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