Recruiter Track

Fill roles faster. Write less.

Built for agency recruiters, corporate talent acquisition, and HR professionals who spend hours on job descriptions, interview notes, and candidate communications. Turn a 30-minute screen into complete documentation in 5 minutes.

After this course, you will turn screens into summaries in 5 minutes.

The Core Promise

You finish a 30-minute candidate screen. AI generates the complete interview summary, recommendation, and next-step emails — for the candidate, the hiring manager, and your ATS — all in 5 minutes of review. No more 45-minute write-ups.

Job descriptions from intake calls

Record your intake call with the hiring manager. AI extracts requirements, qualifications, and selling points — then generates a compelling job description that attracts the right candidates.

Your input (intake notes):

"Senior Python engineer, 5+ years, Django/React, AWS, startup experience preferred, reports to CTO, 4-person team, $140-170K, equity, remote OK, fast-paced, needs autonomy, growing from 20 to 50 people this year"

AI output (job description):

"Senior Software Engineer | [Company] — Series B fintech, 20→50 people in 2026 | You'll: Own features end-to-end, mentor junior devs, shape architecture... | You have: 5+ years Python, Django/React, AWS... | We offer: $140-170K, equity, remote-first..."

ATS LinkedIn Claude

Interview summaries with recommendations

Dictate your interview notes immediately after. AI generates a structured summary with strengths, concerns, and a clear hire/no-hire recommendation — ready for hiring manager review.

Example summary:

"CANDIDATE: Sarah Chen | ROLE: Senior PM | STRENGTHS: 8 years experience, shipped 3 major features, great stakeholder management story... | CONCERNS: Light on data analytics background... | RECOMMENDATION: Strong hire — analytics coachable, stakeholder skills rare. Proceed to final."

ATS Email Claude

Offer letters personalized per candidate

AI generates customized offer letters that reference specific interview conversations, candidate priorities, and role details — making offers feel personal, not templated.

Example offer letter section:

"Dear Sarah — We're thrilled to offer you the Senior Product Manager role. During our conversations, you mentioned wanting more strategic influence — this role reports directly to the CPO and owns the roadmap for our core product line. Base: $165,000..."

Word DocuSign Email

Rejection emails that maintain pipelines

AI drafts personalized rejection emails that acknowledge specific strengths, explain the decision, and keep the door open for future roles — turning rejected candidates into future prospects.

Example rejection email:

"Hi Mike — Thank you for your time in the interview process. We were impressed by your technical depth, particularly your distributed systems experience. We've decided to move forward with a candidate whose background more closely matches our current stack. We'd love to stay in touch — your profile is exactly what we look for in senior backend roles. I'll reach out when we open those positions. — [Recruiter name]"

ATS Email Mailchimp

After this course, candidates will self-screen and book interviews while you sleep.

The Advanced Promise

Your careers page has a chatbot that answers candidate questions, screens for basic qualifications, and schedules screens directly on your calendar. Reference check requests send automatically when candidates reach final rounds. New hire onboarding packets generate from offer acceptance.

Candidate chatbot on careers page

Website visitors ask about roles, culture, and process. The chatbot answers common questions, screens for basic fit, and schedules qualified candidates directly — capturing leads while you focus on active reqs.

Example chatbot flow:

Visitor: "Do you have remote roles?" → Bot: "Yes, most engineering roles are remote-friendly. What's your background?" → "Python, 4 years" → QUALIFIED → "Want to book a 15-min screen? [calendar link]" → Captures candidate info + books

Website chat Intercom Calendly

Automated reference check sequences

When candidates reach final round, AI automatically sends reference requests to provided contacts — with specific questions tailored to the role — and compiles responses into a summary for your review.

Example reference request:

"Hi [Reference name] — [Candidate] listed you as a reference for a Senior PM role. Quick 5-min survey: 1) How did you work together? 2) Strengths? 3) Areas for growth? 4) Would you hire again? 5) Anything else? [Link]"

Email Typeform Zapier

Onboarding packet automation

When candidate accepts offer, AI generates a personalized welcome packet — first-week schedule, team introductions, paperwork checklist, and prep materials — specific to their role and start date.

Example onboarding packet:

"WELCOME TO [COMPANY] | Your start: March 24 | Your team: [Manager bio], [Buddy bio] | Week 1: Orientation, laptop setup, codebase walkthrough, 1:1s | Your prep: Read product overview doc | Questions? Reply here."

Email Notion Make

Passive candidate nurture sequences

AI monitors candidates who declined or weren't selected and drafts periodic keep-warm emails with company updates, new roles, and relationship maintenance — building your future pipeline without manual effort.

Example nurture email:

"Hi Sarah — We opened a Staff Engineer role that matches what you mentioned looking for (more architecture, less IC). Know you're happy at [Current], but wanted to flag. No pressure — keeping the door open. — [Recruiter name]"

CRM Email Claude

Recruiters who want to fill roles, not write documentation all day.

Agency Recruiters

You manage 10-20 reqs across multiple clients. Speed is everything. You need to turn screens into submissions fast while maintaining quality that wins client trust.

Corporate Talent Acquisition

You support internal hiring managers across departments. You need JDs, interview guides, and offer docs that scale across engineering, sales, marketing, and operations.

HR Generalists at Growing Companies

You wear many hats — recruiting, onboarding, compliance. You need tools that automate the repetitive so you can focus on the human side of hiring.

Recruiter track runs in all May sessions.

The core curriculum is AI 101 (document automation) and AI 201 (building tools). The recruiter track applies it to your actual reqs, interviews, and candidate workflows. Bring your laptop and notes from a recent screen.

Explore related AI courses.

Common questions.

Can AI write job descriptions?

Yes. You'll generate targeted job descriptions with requirements, culture fit language, and compensation benchmarks in minutes.

What about interview summaries?

AI can transcribe and summarize interview notes, highlight strengths and concerns, and create candidate comparison matrices.

Can AI help with candidate sourcing?

While AI doesn't replace sourcing platforms, it can generate outreach messages, screen resumes at scale, and draft personalized follow-up sequences.

How does AI help with offer letters?

You'll automate offer letter drafting, compensation package summaries, and onboarding checklists.

What tools do recruiters use?

Claude for job descriptions and candidate communications, ChatGPT for screening and outreach, Copilot for Outlook and Excel workflows, local LLMs for confidential candidate data.

Need more than a course?

If you need an AI workforce built for your business — not just a Saturday workshop — our consulting team designs, deploys, and runs custom AI agents tailored to your workflows. Same start: a one-hour diagnostic call.