Here's 5 recruiting agents I use daily at Abnormal AI.

🔍 Outbound Sourcer: Thinks like a top recruiter and a top candidate at the same time. Reads the profile, infers what motivates them, writes outreach that actually lands. Not templates. Actual personalization at scale.
📝 Intake Agent: Stops bad reqs before they open. Pushes back on vague job descriptions and forces clarity on what "good" actually looks like. Less interview noise. Fewer late-stage surprises.
🎯 Debrief Synthesizer: Turns messy panel feedback into a clear hiring decision. Flags conflicting signals, catches bias patterns, and makes a recommendation. Hire, no hire, and why.
🦄 Recruiting Ops Automator: Finds where your process is quietly breaking. Time-in-stage, funnel drop-off, and offer slowdowns — surfaced automatically, no manual report needed.
🏆 Talent Brand Agent: Keeps your voice consistent across every candidate touchpoint. Same positioning, same tone, no drift. It also includes employee stories for the different job families.

The numbers across two quarters: 88% offer acceptance with a 46.6% InMail response rate — nearly 2x benchmark, up 22.6% since October.

That's what recruiting on systems looks like. Most teams have the same tools.

The gap is whether you're building or waiting.

Most recruiters are leveraging AI in the wrong way and wonder why candidate experience is getting worse...

Over time, my hires are more or less evenly split between:
- Applications
- Referrals
- Sourced/headhunted.

The real time-killers remain painfully human:
- Reviewing 1000s of applications
- Rallying colleagues for referrals
- Sourcing & engaging passive talent

Once suitable and relevant candidates are in the funnel, they all get pre-screened and interviewed.

I use AI for:
✅ Summarising lengthy interview transcripts
✅ Sharing job, interview, team & culture details with candidates at scale
✅ Analysing my own hiring data

I DO NOT use AI for

❌ Reviewing or rejecting applications
❌ Engaging and messaging passive talent
❌ Conducting actual interviews

AI should elevate my experience as a recruiter, not replace my judgement or ability to interact with candidates.

Agree?

𝗔𝗜 𝗶𝘀𝗻’𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝗿𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿𝘀.
• It’s showing who relied on keywords instead of thinking.
• It’s showing who optimized for volume instead of precision.
• It’s showing resume matchers, not true recruiters.

𝗜𝗳 𝘆𝗼𝘂 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗿𝗲𝗰𝗿𝘂𝗶𝘁𝗶𝗻𝗴 𝗮𝘀 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝘁𝗶𝗼𝗻, 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁, 𝗮𝗻𝗱 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁, 𝗔𝗜 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗮 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝘁𝗼𝗼𝗹 𝗿𝗮𝘁𝗵𝗲𝗿 𝘁𝗵𝗮𝗻 𝗮 𝘁𝗵𝗿𝗲𝗮𝘁.

I use AI to: synthesize interview conversations, intake notes, and job descriptions into clear, accurate summaries that reflect what the client is actually looking for, not just what is written on paper.

𝗜𝘁 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘂𝘀𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘁𝗼 𝗿𝗲𝗺𝗼𝘃𝗲 𝗻𝗼𝗶𝘀𝗲 𝘀𝗼 𝘁𝗵𝗲 𝗵𝘂𝗺𝗮𝗻 𝘄𝗼𝗿𝗸 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘀𝗵𝗮𝗿𝗽𝗲𝗿.

When AI is used well, it 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁. 𝗜𝘁 𝗮𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝘀 𝗶𝘁.

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If you're in the accounting, finance, HR, or C-suite fields and looking to explore new opportunities or enhance your team, I'd love to connect. 👰'𝒎 𝒏𝒐𝒕 𝑰 𝒄𝒉𝒆𝒄𝒌𝒎𝒊𝒔𝒕 𝒓𝒆𝒄𝒓𝒖𝒊𝒕𝒆𝒓
– I take the time to understand your goals and will only reach out when the time is right. Let's start a conversation today and partner when you're ready.

#AI #RecruitmentInnovation #HiringDoneRight #TalentStrategy #HumanTouchInHiring

🔥 Hot take: If a recruiter is using AI to interview you, you're allowed to use it too! But...let's talk about what that actually means.

I use AI to transcribe my interviews so I can be completely present and represent you to my hiring leaders in the best way. And I share that I'm using AI within the first few seconds of our conversation so you're aware, and so I have your permission.

So after I share that, my follow up is to ask candidates: "Are you using AI for anything today?"

The responses lately have been fumbled. Nervous. Like they've been caught doing something wrong.

You haven't.

But here's where it's hurting you if you're using it wrong:

AI doesn't know your story...the project that kept you up at 3am, how you handled that impossible manager, or what drew you to this field in the first place. I genuinely want to know you. And when I ask a question and get a long pause followed by a polished, scripted answer...it makes it harder for me to go to bat for you with confidence.

So how can you use AI to help you?

✔️ Research the company. Ask AI to summarize recent news, culture signals, priorities. Walk into your interview informed.
✔️ Clarify your own story. Feed it your resume and ask what themes stand out — especially as it relates to the job you're interviewing for. Then prepare your real answers.
✔️ Practice out loud. Run mock interviews. Refine your phrasing. AI is a great sparring partner.
✔️ Translate your experience. Changing industries? Use it to frame your background in a new field's language.

AI is changing how our world works...but who you are still matters, the value you bring is still important, and how you show up to conversations and represent yourself makes a huge difference.

I'll continue to keep the human in HR and give my candidates a human experience. I hope our candidates do the same. 🤝

I've been using Claude for a while now, and one question keeps coming up - will AI take over recruitment? 🤔

Honestly, it's a fair question. AI can parse CVs, write job ads, summarises interviews, and research companies faster than any of us.

So... are we done?

Not even close. And here's why.

Recruitment is one of the most human industries there is.

You're not just matching skills to a job spec. You're figuring out why someone really wants to leave their job. Picking up on the nerves in a candidate's voice. Knowing when a client says "culture fit" they actually mean something else entirely. Reading the room on a difficult conversation.

No algorithm does that.
That's not a skill AI has. That's a people skill.

The recruiters who'll get left behind aren't being replaced by AI, they just stopped picking up the phone.

Skynet can have the admin. The relationships are ours. 💪 🤖

#AIinRecruitment #FutureOfWork #AI #ArtificialIntelligence #Recruitment #TalentAcquisition

Everyone is talking about AI in recruiting, but much of the conversation remains at a surface level, focusing on tasks like writing job descriptions or automating screening processes. The real opportunity for recruiters lies much deeper.

In recent months, I have been experimenting with AI in areas that traditionally consume the most time for recruiters: research, market intelligence, and talent strategy. Here are a few interesting use cases that have proven effective:

• Talent mapping in minutes: AI analyzes company ecosystems, competitors, and adjacent industries to identify non-obvious talent pools.

• Sales hiring intelligence: Quickly understanding which SaaS companies are scaling in specific regions and where strong enterprise sellers are likely to be found.

• Stakeholder advisory: Transforming raw hiring data into insights, including market compensation trends, talent availability, and realistic hiring timelines.

• Candidate insight synthesis: Summarizing lengthy interview notes and identifying patterns across candidates more efficiently.

AI is shifting the recruiter’s role from “process manager” to “talent advisor,” allowing recruiters to focus on what truly matters: people, potential, and impact.

I am curious to hear from others in talent acquisition: How are you using AI in your recruiting workflows today?

I have spent nearly three decades in talent acquisition, and one thing has always stayed true.

Recruiting works best when the systems behind it work.
Clear intake. Strong sourcing strategy. Clean workflows. These are the pieces that make the work feel doable instead of chaotic.

In healthcare especially, I have seen how easy it is for recruiters and sourcers to feel overwhelmed when roles are complex, pipelines are thin, and tools do not always keep up. I have also seen how the right process can change everything.

This is the space I love working in.
Intake. Sourcing strategy. Outreach. The small systems that create big wins.

I am also a strong believer in using AI to support the work we do. Not to replace recruiters, but to help us think more clearly, write more effectively, and move faster when it matters most. I use AI every day to build sourcing plans, draft outreach, clean up job postings, and bring structure to the parts of recruiting that often feel messy.

If you care about:
 building better sourcing systems
 improving intake
 modernizing how we approach hard-to-fill roles
 using AI without feeling overwhelmed
 making the day-to-day work feel lighter

You are in the right place.

I will be sharing more of what I have learned over the years. Practical strategies, prompts, sourcing ideas, and lessons that come from real experience in the trenches of healthcare recruiting.

If this resonates, I would love to connect and learn from your work too. Here is to building better systems together.

I’ll be honest.

I did not want an AI recruiter.

We’re in the people business.
Our reputation is built on relationships.
And I’ve spent 20+ years telling clients that great recruiting is instinct, judgment, and nuance.

So the idea of introducing a digital, agentic recruiter into Tier4 Group?
It felt… risky.

What if candidates hated it?
What if it diluted our brand?
What if it made us feel transactional?

But here’s what leadership really is:

It’s not protecting what’s comfortable.
It’s testing what’s possible.

So we built Taylor, powered by AlexAI.
And we measured everything.

Here’s what actually happened in our first 12 months:
11,500+ completed interviews
38,000+ invitations sent
30% completion rate
84% of candidates rate the experience 4/5 or higher

That 84% stat stopped me in my tracks.

Because I care deeply about candidate experience. It’s personal. Our name is on it.

What I’ve learned:

Taylor (AI) doesn’t replace our recruiters.
It replaces friction.

It doesn’t remove humanity.
It removes back-and-forth scheduling emails at 9:30 at night.

It doesn’t make decisions.
It creates structured insight faster so our humans can make better ones.

And here’s the part no one talks about enough...

Sometimes as founders, we resist change not because it’s wrong… but because it challenges our identity.

I built my career on being the person in the room reading between the lines.

But scaling that instinct requires tools.

Taylor hasn’t made us less human.
It’s made our humans sharper.

More time advising.
More time closing.
More time building trust.

We’re still learning. We’re still refining.

But I’m glad I didn’t let fear win.



Oh, and here are some stats I asked our team to pull on the time it would have taken a human to complete all of those interviews and the tasks associated with them. Go ahead and tell me we made the wrong move... I'll wait.

10,650 hours = about 266 full-time weeks of work (at 40 hrs/week)
That’s about 5.1 FTE-years (assuming ~2,080 hrs per year per person)

AI in TA is already here.
This week my team sat down to pressure test how we’re using it and where we need guardrails.

Our stance is simple:
AI can support.
AI can summarize.
AI can suggest.

But it doesn’t decide.
Recruiters still review.
Recruiters still recommend.

Speed matters.
Trust matters more.
The goal isn’t to replace recruiters.
It’s to elevate them.

How are you protecting the human touch while embracing AI?
#TalentAcquisition #AIinHR #FutureOfWork #RecruitmentLeadership #HumanCenteredHiring

I DID IT. I AUTOMATED MY RECRUITING BACKEND WITH CLAUDE CODE.
And ironically, it made me more confident in the future of recruiting, not less.

I recently learned about the "doorman fallacy". When automatic doors were introduced, many hotels assumed they would no longer need doormen. They believed the job was simply opening the door. What they failed to recognize was that the visible task was not the value. The value was the relationship. The doorman greeted guests by name, built familiarity over time, hailed cabs, carried luggage, and created a sense of trust and hospitality that no automated door could replicate.

That framing has been sitting with me because over the last two days I have nearly automated my backend recruiting workflow using Claude Code. I built systems that identify candidates in my vetted network, surface them to me for open roles, screen my inbox to determine who else I should be speaking with from the VC talent community, who I have not followed up with, and draft succinct notes pulled from my extensive candidate notes explaining to founders why specific matches from our network make sense. It is far from perfect. It is scrappy, occasionally messy, and could be significantly optimized. But it works, and it will only get better as the models improve. As a talent partner supporting an entire portfolio, that speed matters. More importantly, it means I am spending less time clicking through profiles one by one and more time going deep with founders, hiring teams, and our candidates.

This reinforced something I have believed for a long time. The mechanical parts of our jobs are not the reason we have them. Searching, tagging, sorting, summarizing, and writing repetitive emails were necessary steps, but they were never the moat. The moat is trust built between humans. It is a founder calling you first because they need someone in their corner, not just in their inbox. It is a candidate being honest with you because they know you will be honest back. It is pattern recognition that only exists because of years of real conversations with real people who chose to let you in. The moat is not what you do. It is who you are to people.

As a recruiter, if you define your role by opening the door, automation feels threatening. If you define your role by building the relationship, automation is leverage.