How smart sellers use AI. +23% win rate.

👋 What’s up, closers —

Welcome to Prompt Punk — the AI business newsletter for people that actually have to sell stuff.

I switched up the format a little due to reader demand.

More sales playbooks, tools and tactics. Less news you can read elsewhere. Tell me what you think! Hit reply!

TLDR; inside today’s newsletter

Let’s rip…

How are the best sellers using AI? I asked AI-native sales managers, dug into the bowels of reddit, pestered founders at a tech meetup and got this:

Old stack: Google, paper notebook, CRM, email, PowerPoint, Zoom, your company’s product, contract software.
New stack: AI layered across every step to cut time, boost volume, and close deals that never would have happened.

Why it matters: AI doesn’t replace sellers; it makes incentivized reps insanely productive.

Old way: 19 tabs, manual notes, generic cold emails.
New way: ChatGPT/Claude for prospect intel and “Deep Research” prompts; Claude Code + Clay to generate LinkedIn DMs and cold email variants at scale. Paste a LinkedIn URL, get a targeted opener.

What teams report: ~50% less research time; higher response rates.

Old way: Scrappy prep, generic first call decks, ad-hoc questions.
New way: Blend company intel + LinkedIn data + your CRM notes into a single prompt using SPIN/MEDDICC to output a discovery script with likely objections. Use Actively AI. Remix into a Gamma deck in minutes.

Reality check: Most demos are still a human clicking. (I’m thinking of building an AI demo rep for live calls—ping me if you want to hear more).

Old way: “We’ll get back to you next week” while a solutions architect hunts for docs and specialists.
New way: Granola for notes → CRM (Attio) → Sana Labs/Glean across wikis, tickets, and repos to assemble answers now. AI as the co-pilot that finds prior art and patterns.

Old way: Lorem-ipsum demos and weeks of setup.
New way: LangChain/Lovable/Replit to spin up front-end demos fast, plus AI coding assistants + LLM APIs to wire in customer data for realistic flows. “Looks like your world,” not a toy.

Old way: 12 step approvals, ticket tantrums, redline roulette.
New way: Ironclad AI to accelerate review and approvals. DocuSign has AI-ish add-ons, but it feels retrofitted—not AI-native.

Today’s wins are in research, scaled outreach, meeting prep, and follow-ups—with AI doing the heavy lifting.

Across teams, that’s ~20% fewer busywork hours per week and a lot more at-bats.

Sellers can carry more quota, with the right tools and incentives.

Ramp is a spend management platform (cards, expense, procurement) serving 30k+ businesses; Actively AI is a GTM copilot whose custom reasoning models ingest Salesforce, Gong, and third-party signals to tell reps who to hit, when, and why.

The results

Actively AI builds a daily hit list with Why You / Why Now context, adapts by product and persona, multi-threads targets, and turns noisy signals (funding, leadership moves, ex-users, renewal windows) into specific outreach angles—no “Congrats on the round!” spam.

Why it matters
Isn’t this a sellers dream? Know who to call when, with a smart message? Precision beats volume.

Who knew fraudsters made fake songs with fake plays to get rich.

Spotify continues to ramp up its AI crackdown on streaming fraud, which touches 10% of all global streams — worth an estimated $2B+ in royalties.

The company’s AI scans listening patterns to detect bots and streaming farms, cutting millions of fake plays. Using AI to fight fraud.

And it’s not just Spotify — the Music Fights Fraud Alliance (20+ members strong), including Amazon Music, YouTube, and others.

Why it matters:
Fraud isn’t just stealing royalties — it warps the data that drives payouts, playlists, and ad spend.

Perhaps that explains why I keep getting Backstreet Boys as a recommended artist.

Spotify is proving AI can nuke fake engagement at scale.

What it does: AIDA acts like an AI chief of staff for every sales rep—after calls it drafts recaps, flags risks and next steps, and keeps your CRM tidy. It prevents slipped tasks and stalled deals. Integrates into Salesforce, Gmail, Slack, Outlook, Gong, Hubspot and a lot more.

Why it’s valuable: Cuts admin busywork for reps, so they spend more time closing and less time in CRM hell. Keeps pipelines accurate and deals moving—like a sales assistant that never sleeps.

Website: https://getaida.com

What it does: Hyperbound analyzes thousands of sales calls to surface what top reps do right, then generates AI-powered role-play simulations—based on your own ICP—for training, onboarding, deal prep, QA, hiring, and more.

Why it’s valuable: Slashes ramp-up time from months to weeks, helps reps prep with real at-bats instead of guesswork, and scales coaching consistently across teams. Smarter reps = faster deals.

Website: https://www.hyperbound.ai

What it does: Gamma is your AI design co-pilot for presentations. Just type a prompt or paste content, and Gamma delivers polished, brand-aligned decks (exportable to PPT/Google Slides), visual docs, and landing pages—no design skills needed.

Why it’s valuable: Saves you from staring at slides trying to “make it look good.” Faster pitches, cleaner documents, and more time for strategy—not formatting.

Website: https://gamma.app/

a16z’s latest consumer AI report just got released. The tl;dr - The market is maturing.

Consumer winners are baked. ChatGPT, Gemini, Deepseek. Bifurcated. Western apps vs Chinese Apps. But also some offbeat rockets like removeBG and ZeroGPT hold firm.

New kids on the block include Lovable, Manus and Juicychat (NSFW).

What can we learn as sellers? Keep an eye on mobile AI (lots of newcomers), image AI and video AI. These are the next waves as we reach a plateau on pure text models.

Visuals move money and this battle royale hasn’t reached the heights of text LLMs.

Google’s just released Gemini Flash 2.5 is the speed freak: sharp text-to-image, tidy layouts, built-in edits, and 200 on-brand variants before lunch.

Mistral’s new multimodal is the buttoned-up EU choice—image + text in one stack, long context, and compliance-friendly APIs so legal doesn’t lose it.

Alibaba’s Qwen Image is the open-weights workhorse—on-prem friendly and ruthless on unit costs, perfect for bulk creation and edits. Just don’t ask about Tiananmen Square.

Why it matters:
Faster creative cycles = more tests, higher conversion and more revenue. Money makes the world go round.

Finally, my homeland is thinking big! The UK tech secretary parlayed with Altman about a moonshot deal: ChatGPT Plus for every UK resident—price tag floated up to £2B. No formal proposal, but momentum is real (the UK signed an OpenAI MoU for public services).

Why it matters:
If governments normalize premium AI access, expect staff-wide licenses, edu/public-sector bundles, and procurement fast lanes. Everyone will buy AI.

AI isn’t just writing emails anymore—it’s soon showing up, smiling, and reading the room.

I know because this week I heard from the CEO of Synthesia and new startup Interhuman AI.

Synthesia ($100m ARR, growing 100% YoY) turns plain text into tailored sales videos using lifelike avatars. Their killer feature: CRM/API hooks that auto-generate 1:1 videos at scale (name, company, language) without a camera or a rep. Your “AE” records once; the system personalizes 1,000 intros before lunch. Their agent platform is coming in a couple months.

Interhuman AI adds the missing human layer: it reads tone, micro-pauses, and facial cues, then adapts responses like a sharp seller who knows when to push or pause. Killer feature: a drop-in social-intelligence API that lets any bot detect engagement and change its pitch mid-conversation.

Why it matters:
Stitch these together and you’ve got an always-on agent that outreaches with video, senses interest in real time, and adjusts the close—at near-zero marginal cost.

That threatens high-volume SDR work first (demo setting, follow-ups) but expect it to move up the food chain.

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— John
Prompt Punk