Learning path · Sales

The rep whose AI knows who to call first.

The rep who books more meetings in 2026 isn't the one grinding the hardest — it's the one whose AI drafts the outreach, tracks every thread, and tells them who to call first. This is how you become that rep, whether you've closed a thousand deals or none yet.

No fluff, no fake numbers. Just the AI skills sales managers are actually hiring for — and the exact path to learn them. Works on Claude, ChatGPT & Gemini.
Why this matters now

The 2026 sales floor already runs on AI.

Prospecting, personalization, and follow-up used to be a numbers game you won by sheer hours. Now the tools do the volume — and hiring managers assume you can drive them.

A rep who still copies the same cold template to 200 people looks slow next to one whose AI writes 200 different openers overnight. When two candidates have the same quota history, the one who can say "here's the outreach system I built" wins the seat.

What's changed

Reps are expected to hit quota with fewer hours on admin — AI eats the research, note-taking, and drafting so you spend your day actually selling.

What managers ask

"How do you use AI to prospect and follow up?" is now a real interview question. A blank stare there costs you the offer.

Where you win

You don't need to code. You need to run the tools well — and prove it with a system you built, not a certificate you bought.

The AI skills that get you hired here

Six things a rep can do with AI today.

Concrete, day-one useful, and each one shows up in a real sales role. Learn these and you're not "familiar with AI" — you're operationally faster than the rep sitting next to you.

✉️

Personalized cold outreach at scale

Feed AI a prospect's role, company, and a recent trigger event — it writes an opener that sounds like you actually researched them, not a mail-merge. Do 50 in the time one used to take.

Prompt → "Write a 3-line cold email to a Head of Ops at a logistics firm that just opened a 2nd warehouse. Reference the expansion, no fluff, one clear ask."

🔁

Follow-up sequences that don't sound robotic

Turn one reply — or one silence — into a 4-touch follow-up sequence, each message with a different angle so you're never sending "just bumping this to the top of your inbox."

Prompt → "Build a 4-step follow-up sequence for a prospect who opened my deck but went quiet. Vary the angle each time: value, proof, urgency, breakup."

📝

CRM notes + next-step suggestions

Paste (or dictate) your call recap and AI writes the clean CRM note, tags the stage, and suggests the next action — so nothing rots in your pipeline because you forgot to log it.

Prompt → "Summarize this discovery call into a CRM note: pain points, budget signals, decision-maker, and the single best next step with a date."

🛡️

Objection-handling scripts

Give it the objection you keep losing on — "too expensive," "we already use X" — and it drafts three responses in your voice you can rehearse before the call instead of freezing on it.

Prompt → "Prospect says 'you're 30% more than the competitor.' Give me 3 responses: reframe on value, ask a diagnostic question, and a trade-off close."

🔎

Lead research in seconds

Before a call, AI pulls a company's likely priorities, the person's role context, and smart questions to ask — so you walk in sounding briefed instead of reading off a generic script.

Prompt → "I'm calling a Marketing Director at a mid-size SaaS company. Give me their likely 2026 priorities and 5 sharp discovery questions."

📄

Proposal & quote drafts

Hand it the deal notes and it drafts a tailored proposal — scope, pricing tiers, and a summary that speaks to the buyer's stated pain — in minutes, ready for you to polish and send.

Prompt → "Draft a one-page proposal from these notes: 3 pricing tiers, an ROI line, and an exec summary aimed at a cost-conscious operations buyer."

Your path

The order to learn it in.

Three volumes, in sequence. Start with the fundamentals so every prompt you write lands, add the money-making mechanics that map straight onto selling, then top it off with the one thing that makes "knows AI" undeniable on your résumé.

  1. AI Foundations Free

    How AI actually works and how to talk to it so it does what you want. This is where prompting stops feeling like luck. Everything else on this path assumes you've got this.

  2. AI for Money Build

    The mechanics of turning AI output into results — outreach, offers, and follow-through. Every skill here maps directly onto a sales motion: write the message, make the ask, close the loop.

  3. JARVIS — the capstone Capstone

    Build your AI second-brain wired to your pipeline — the flagship. It remembers every lead, drafts the follow-ups, and each morning tells you who to call first. This is the project that proves it.

See the full catalogue and every volume on the courses page →

Prove it

Build one thing that gets you hired.

Certificates are easy to ignore. A working system isn't. Build this, screenshot it, and walk into the interview with a real answer to "how do you use AI?" — you demo it.

Portfolio capstone

📈 The "Who Do I Call First?" outreach engine

An outreach + follow-up system wired to your pipeline notes that ranks your leads and tells you exactly who to contact today — with the message already drafted.

Feed it
  • A simple list of your leads and where each one stands
  • Your notes from calls and replies
  • Last contact date + deal size
It produces
  • A ranked call-first list by heat and value
  • A drafted follow-up for each name
  • Flags on anyone going cold
You show
  • The morning briefing it hands you
  • Two real before/after follow-ups
  • The time it saved this week
Why it lands: it's the exact thing a sales manager wishes their whole team did — and you built it before they even hired you. That's the difference between "I've used ChatGPT" and "here's my pipeline running on AI, want to see it?"
Your move

Become the AI-fluent rep.

Two steps, both from here. Turn your experience into a sales CV that shows you're AI-capable — then build the JARVIS that makes it true.