Honeybook built a ChatGPT agent that logs into LinkedIn, searches for candidates based on a job description, and applies nuanced filters (e.g., tenure, location, activity). This automates a time-consuming, multi-step workflow, freeing up the hiring team for higher-value tasks.

Candidates are embedding hidden text and instructions in their resumes to game automated AI hiring platforms. This 'prompt hacking' tactic, reportedly found in up to 10% of applications by one firm, represents a new front in the cat-and-mouse game between applicants and the algorithms designed to filter them.

Countering the idea that AI sacrifices quality for speed, Honeybook's recruiting agent found four net-new, high-quality candidates the team had missed manually. The fifth candidate it found was one the team was already pursuing, validating the AI's quality and ability to augment human efforts.

Your hiring funnel has an ideal customer profile, just like sales. Analyze your top-performing employees to identify common demographics, past experiences, and behaviors. Use this 'avatar' to filter applications and target your sourcing efforts, increasing the likelihood of success for new hires.

LinkedIn's new AI-driven search moves beyond exact job titles. Prospecting now involves natural language queries, like finding founders in a specific industry who previously worked at a certain company. This allows for much more nuanced and effective lead generation for premium users.

Create a custom GPT and feed it 10 of your company's best job descriptions. It learns your format, tone, and key requirements. This allows anyone on the talent team to generate a high-quality, company-specific job description in minutes by providing a simple brief.

For over a decade, Sequoia has systematically asked top operators, 'Who are your five smartest peers?' By tracking responses in a proprietary CRM, they've built a talent map that functions like a 'PageRank for people.' This system allows them to assess engineering team quality deep within organizations, providing a unique diligence advantage.

Traditional pre-qualification uses rigid scripts, potentially missing high-value clients who don't fit the mold. Agentic AI analyzes conversation nuances to identify various customer archetypes and high-intent signals beyond the primary avatar, ensuring top prospects aren't overlooked.

Rejecting conventional headhunters and pedigrees, WCM actively sources talent from unique places. They successfully hired a key team member after discovering his insightful investment commentary on Twitter, where he was posting under a fake name, proving that talent can be found anywhere.