You don't burn your TAM by emailing it. You burn it with the wrong ask. $74M in pipeline from spraying the whole TAM for 2 years. Didn't torch a thing. Because the ask was "you're my ICP, keep in touch," not "buy now" every month.

Mixpanel just shipped Mixpanel AI. An always-on agent that watches your metrics, answers in plain language, and builds the dashboard for you. Analytics is going from something you check to something you ask. Chat analytics is only as good as the context underneath it.

Replacing your marketing team with AI agents is nonsense. Not just from an efficiency standpoint. From a spiritual one. You chose to be an entrepreneur. You put your hand up and said you wanted to make a dent in the world. Nobody put you here. This was voluntary. So why would you want to build something remarkable with a room full of workflows instead of people? Anyone who has ever built something material wanted to build a team. A go-to-market unit. People who are bought in, who care, who argue about the strategy. That is not overhead. That is the entire point of building a company. What reputable companies are actually doing is replacing discombobulated marketing. The media guy with no idea what the SEO guy is running. The inbound team with zero visibility into what outbound is doing. That fragmentation is the real problem. AI fixes that by making you a full-stack marketer. That is it. And then there is brand. Brand is not a conversion rate. Brand is a feeling. Its the people behind it. People have associated themselves with companies whose marketers they respected for years. Replace that team with a workflow diagram and you have polished output with no real identity. We are building go-to-market units at Intempt. Full-stack marketers who use AI as an extension of themselves.

53% of GTM leaders say AI has had little or no impact on their work. I'd guess most of those teams are using it like a Google search. Claude is more than that... Here's the full map with what matters for GTM teams. 1. Chat → Start here. Don't stop here. ☑ Use it for pre-call research. Paste their URL, get tailored discovery questions. ☑ Drop raw call notes in after a call, get a structured follow-up out. ☑ Most teams stop here. The other 8 are where it gets interesting. 2. Cowork → Claude on your files, not a browser tab ☑ Think of this as Claude on your computer. Give it a task, walk away. It runs. ☑ One team runs it weekly: closed-won deals in, outreach drafts out. Zero manual steps. ☑ Schedule recurring work: pipeline reviews, competitive scans. No one is watching. 3. Code → Skip if you're not building. But if you are... ☑ Build GTM dashboards: live pipeline data, interactive output. No engineering ticket. ☑ One team fed 165 competitor posts into its positioning patterns in minutes. 4. Projects → Not file storage. Enforcement. ☑ Set up one Project per client: brand voice, ICP, examples. Every conversation inherits it. ☑ Shared Projects: five people, consistent output, no one discussing tone. ☑ The moment it has your context, it stops being generic. That's the point. 5. The Models → Pick the right brain ☑ Use Sonnet 4.6 for daily work: copy, briefs, outreach. Handles 90% of GTM tasks. ☑ Use Haiku 4.5 for bulk work: scoring, classification, enrichment. Fast and cheap. ☑ Save Opus 4.7 for deep work. Use all three as a stack. 6. Context System → How Claude learns your business ☑ Build foundation files: ICP, writing style, positioning. Load into every Project. ☑ A CLAUDE.md the whole team shares. Type "let's get started," full context loads. ☑ "It doesn't sound like me" is almost always a context problem. 7. Skills → Teach it once, use it forever ☑ Build a pre-call brief Skill. Background, talking points. ServiceNow: 95% less prep. ☑ Build a full outbound Skill: first-touch, follow-up, breakup, re-engagement. Automated. ☑ Any task you repeat should be a Skill, not a prompt. 8. Integrations → Where it shows up in your workflow ☑ Connect Shopify: purchase history and signals in context. Intempt has a native app for this. ☑ Upload to Google Drive once. Claude inherits your recordings, briefs, and docs. ☑ Connect Slack: competitive intel, pipeline health, follow-ups after calls. 9. Create → What it actually builds ☑ Build battle cards: what to know, what to say, how to prove it. 15 minutes each. ☑ Drop one transcript in, newsletter, blog, LinkedIn, social cuts out. A week's work, hours.

Someone sent this cold email with the subject "Your mother just passed away." I don't think it's fake. Sadly. I've gotten versions of these. Triggering subject lines. People calling you names just to provoke a reaction. Calendar invites sent cold just to show up in your schedule. All of it is desperation. And it tells you exactly where cold email is right now. Cold email has become a website traffic channel. Not a channel where people want to talk to you. Adam Robinson landed on the honest formula. He spends a few dollars a month, sends millions of emails, says "here's what we do, here's a link," and watches website traffic go up. He is not booking meetings from it. He is getting brand visibility. That is actually the right use case now. Even if your AI SDR does every piece of research before sending, you are still guessing. You are guessing the person has a budget. You are guessing they do not already have a vendor they trust. You are guessing they have ten minutes for a call. Good signals still leave a lot of guesswork. What is left is a downward spiral. Tools get cheaper, volume goes up, inbox providers fight back, deliverability drops, so people push harder. Subject lines get more & more extreme. The inbox gets harder to reach. Using cold email like cheap display advertising. Here is what we do, here is a link, go check it out. Stop chasing meetings with it. This is the reason we pulled out of building cold email products.