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AI is now deeply embedded in how organizations source, screen, and select talent — but speed and efficiency aren’t the same as good judgment.
One of the biggest shifts we’re seeing is that AI isn’t just a tooling decision anymore. It’s becoming a governance decision. And that shift raises important questions that many hiring teams are still catching up to: where bias is introduced, what gets automated by default, and where humans are actually staying in the loop.
We plan to explore these types of questions in an upcoming fireside chat in partnership with PowerToFly, featuring Lyndsay Sanborn.
Lyndsay is an AI strategist and founder of Frame + Forge AI Strategy Studio, working at the intersection of AI and reproductive healthcare, one of the most ethically and legally complex areas in tech. With 25 years inside mission-driven organizations, she brings a rare combination of hands-on AI governance expertise and deeply human-centered strategy.
In this conversation, we’ll go beyond checklists and feature comparisons to explore what responsible AI adoption actually requires from talent and organizational leaders today.
You'll walk away with:
A governance lens for evaluating AI tools in your hiring stack — not just features, but risk and accountability
Lyndsay's AI Fit Test framework applied to common hiring use cases
A model for keeping humans meaningfully in decision loops without slowing down your process
The leadership questions you should be asking before your next AI procurement decision
Let's talk about building the capacity to make values-driven decisions about AI before external pressure, vendors, or timelines make them for you.
AI Agents Are Reading Your Docs. Are You Ready?
Last month, 48% of visitors to documentation sites across Mintlify were AI agents, not humans.
Claude Code, Cursor, and other coding agents are becoming the actual customers reading your docs. And they read everything.
This changes what good documentation means. Humans skim and forgive gaps. Agents methodically check every endpoint, read every guide, and compare you against alternatives with zero fatigue.
Your docs aren't just helping users anymore. They're your product's first interview with the machines deciding whether to recommend you.
That means: clear schema markup so agents can parse your content, real benchmarks instead of marketing fluff, open endpoints agents can actually test, and honest comparisons that emphasize strengths without hype.
Mintlify powers documentation for over 20,000 companies, reaching 100M+ people every year. We just raised a $45M Series B led by @a16z and @SalesforceVC to build the knowledge layer for the agent era.
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