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This isn't a sit-back-and-watch session. It's a working workshop where you'll leave with outbound you actually wrote, scored, and systematized, using your own accounts.

Florin Tatulea joins to walk through the live exercises and workshop attendees' outbound on the spot.

You'll come in with your ICP and a few target accounts, then learn to tell a real signal from noise, write a signal-based opener live, and turn that one email into a repeatable play. Bring the pre-work; you'll use it the whole way through.

Walk away with a first-line draft, a filled-in Play Canvas, and a system you can re-run with your team next week.

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Everyone's racing to build the AI tool: the scoring agent, the enrichment flow, the account brief. But the tool is just the output, and the output is only as good as the context you feed it.

This episode flips the game. In AI-era GTM, the leverage isn't in the build. It's in the input.

We open up the actual context repo behind agents running in production, show why GTM teams need to manage their intelligence the way engineers manage code, and walk through the one repo you can stand up this week to make every tool you already own sharper.

Walk away knowing exactly what to store, how to structure it, and how to keep it from rotting.

August isn't a dead zone for cold email, it's a different game. Buyers are half-checked-out, inboxes are piling up, and the reps who win are the ones who write for a distracted reader instead of blasting the same sequences into the void.

Margaret Sikora and Nick Palasz will break down exactly how to adjust your emails and your cadence for the summer months.

You'll see how to write shorter, lower-friction emails built for a three-second skim, how to mine out-of-office replies for return dates, backup contacts, and org intel instead of treating them as dead ends, and how to time your strongest touch for the week a buyer is back at their desk.

Walk away with an August playbook that keeps your pipeline moving while everyone else goes quiet.

Most 1:1s are status updates in disguise. The rep reports numbers, the manager nods, and nothing actually changes before the next one.

Lauren Bailey, CEO of Factor8, has spent her career building the front-line managers who build top reps. She's handing managers a repeatable weekly system, not another pep talk.

She'll lay out the exact cadence and agenda that separate a coaching 1:1 from a reporting one, then show you what to actually inspect: the leading indicators that predict a rep's number before it moves, and how to tell an effort problem from a skill or strategy one.

Walk away with a weekly 1:1 you can run to coach the input behind the number, not just the number itself.

LinkedIn isn't email with a different logo. It's shorter, more social, and public before a single message even sends, since the prospect can see your whole profile before they read a word.

Mandy McEwen will break down what actually has to change when the channel changes.

She'll cover why copy-pasted email messages flop on LinkedIn, what has to change about the format and tone, and how to build an opener that earns a reply instead of getting skipped.

Walk away able to rewrite your own LinkedIn messages before your next round of outreach.

A deal going quiet isn't the same as a deal going slow. By the time you notice the difference, the "sure thing" you forecasted as closed has already slipped away.

We are breaking down the exact signals that separate a healthy deal from a dying one, and the plays that bring cold deals back before it's too late.

They'll cover the silent signals reps talk themselves out of, how to pressure-test a deal before you panic, and the re-engagement moves that get it back on track, including when the smartest play is to walk away.

Walk away knowing the exact signals that mean a deal is quietly dying, with a real play for each one instead of just hoping it comes back.

Everyone's using AI to write outreach now, and prospects can tell. The personalization reads generic, the tone lands flat, and reply rates pay for it.

Hans Dekker walks through the exact AI-assisted outreach workflow he runs, where an agent handles the research and the first drafts, and where a rep has to step back in to keep every message sounding like a real person wrote it.

You'll see what strong agent pre-work actually looks like versus the surface-level personalization that screams bot, the specific checkpoints where a human edit saves the reply, and how to turn the whole thing into a system instead of a one-off prompt.

Walk away with an AI-assisted outreach workflow you can run every week, on any stack, without it sounding like a bot wrote it.

Everyone can capture intent now. You've got the signals, the hot-accounts dashboard, and a Slack channel nobody acts on fast enough. The pipeline leaks in the gap between knowing and acting.

Usually two things are broken. The signals aren't defined, so a 150-day-old funding round scores the same as a fresh one. And the motion isn't wired, so a hot signal never turns into a booked meeting.

This session fixes both. First you build the signal library: what to detect, how to score it against fit, how fast it decays, and which signals count for more together. Then you wire one signal into a motion, start to finish, and see where an AI agent helps and where a simple workflow wins.

You'll walk away able to spot where your pipeline is leaking and name the one motion to wire first.

Great discovery isn't about extracting answers, it's about earning enough trust that the buyer does most of the talking, because they feel understood instead of interrogated.

Charles Muhlbauer and Helena Clisby will break down the exact questions and phrasing that get buyers to open up instead of shutting down.

You'll get the openers that make a first call feel like a conversation instead of a deposition, the specific questions that move buyers past one-word answers, and how to test whether a pain is real and urgent without making the buyer shut down.

Walk away being able to run a first call that gets buyers to voluntarily share their real pain, with exact lines that replace "it's slow" with concrete evidence and stakes.

A cold call doesn't fail in the pitch. It fails in the first ten seconds, before the pitch even starts.

This is a live, unscripted cold call clinic. A real attendee volunteers to cold call on air, working against a real, skeptical reaction instead of a friendly practice partner.

The show breaks down what happens in the opening seconds of the call, walks a live objection through the ACERS framework (accept, clarify, explore, redirect, summarize), and shows what separates a soft close from a real ask.

Walk away able to run a cold call using ACERS instead of freezing or arguing when a prospect pushes back.

"Did I catch you at a bad time?" isn't a polite opener anymore. It's a scripted exit, handed to the prospect before you've said anything worth hearing.

Isa Sher, Founding Account Executive at Symbe, is naming the openers quietly killing cold calls and reworking them live, no theory, just language you can use on your next dial.

She'll break down why permission-seeking openers now trigger instant resistance, then hand over what's replacing them: openers built on real research, upfront honesty about the call itself, and patterns that catch a prospect off guard in the best way.

Walk away with a framework to build your own opener and test it against your current one this week.

Most GTM stacks are open loops. You ship motions, book the meeting, close the quarter, and never learn which input caused the output. The tools make you busier, not smarter.

We will walk through the loop we actually run: how outcome data flows back into targeting, messaging, and sequencing, and where AI closes the loop faster instead of just automating the guess.

You'll see why most attribution is theater, how self-reported data exposes what the software can't, and how to feed wins, losses, and churn back into your ICP and signal library so the next motion gets smarter.

Leave being able to audit your stack for open loops and stand up one real feedback loop where an outcome changes the next action.

A weak cold email or cold call isn't a mystery. It has a specific, findable reason it isn't working.

This show reviews real submitted cold calls and cold emails live, scoring each one against a clear rubric before rebuilding it on the spot.

Watch a real submission get diagnosed line by line, whether that's the subject line, opener, value prop, and CTA for a cold email, or the opener, objection handling, and close for a cold call. Then watch it get rebuilt in real time, with the reasoning behind every change explained as it happens.

Walk away with a rubric you can run on your own pitch and know exactly which line to fix first.