ADVERTISE | PODCASTS | EXECUTIVE’S PASS | B2B TRAINING | | | | Hey | Last week, Perplexity put a question to me: if there were a Bloomberg-style terminal for your industry, what would it show you? My answer was immediate. Every brand is spending money on AI newsletter sponsorships, and exactly how much. So I asked Computer to build it. It’s now live — and I’m sharing it with you in this email. | It's now live — and I'm sharing it with you here. |
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| | | | Perplexity Computer: Bring the idea. Computer builds it. | Computer unifies every current AI capability into one system. Think of it like a general contractor: you hand over a job, it breaks that job into sub-tasks, selects the right models for each one, and hands you a finished artefact. You don’t pick a model, write a line of code, or configure anything. You bring the question. Computer brings the answer. | | It does the hard research, not just the easy answer | Computer browsed across dozens of sources, pulled sponsorship data out of wildly inconsistent formats, and kept it all straight — the kind of work that would take a person days. | | No setup, no model selection, no coding | You describe what you want. Computer figures out which capabilities to use and orchestrates the rest, across 19 of the top leading models, model-agnostically. | | You get a living artefact, not a chat reply | A real, rendered dashboard that stays up to date, not a block of text you still have to act on yourself. | | |
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| | LIAM’S STORY | | The question hit immediately: if I had a Bloomberg terminal for my corner of the industry, what would I want it to track? For me, that answer was always the same — which brands are actually spending money on AI newsletter sponsorships, and how much. Every time I sit down to build an outreach list, I'm starting from scratch. Scanning issues, piecing together signals, guessing at budgets. Hours in, for a list that goes stale in weeks. | So I gave Computer one request, in plain English: build me a live dashboard tracking the top advertisers across AI newsletters in 2026 — with modelled spend, CPMs, and placements. I didn't tell it which model to use, how to structure the data, or where to find the sources. That was Computer's job. | What it handed back was a ranked leaderboard of 17 advertisers, across 12 newsletters, with $2.6M in modelled 2026 spend. Salesforce at the top. Circleback, Zapier, Google Cloud right behind. Every brand on that leaderboard already pays to run sponsorships. That's not a cold list, it's a warm one. I'm not building prospect lists from scratch again. | The question wasn't "build me a dashboard." | It was: what's my biggest research bottleneck? The dashboard was just the answer Computer chose to give me. | | |
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| | ASK YOURSELF | | The same pattern applies to almost any role. The hard part is identifying the question. Computer handles everything after that. Here are three to start with: | Your question: | Sales & marketing | "What signals about my audience do I wish were summarised for me before I create anything new?" | Operators & solopreneurs | "If I could wake up to one auto-prepared 'here's what to focus on today' page, what would I want on it?" | Health & finance | If I got a simple weekly money rundown, what would I want it to highlight or warn me about?" | You already know the answer. Now ask Computer to build it. | | The bottleneck isn't building the thing anymore. It's spotting the thing worth building. That's where your time goes now. |
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| | Refer a Friend | | Want to reach 400k+ decision-makers? → Sponsor us | Until next time, Arturo and Liam. | | P.S. Unsubscribe if you don’t want us in your inbox anymore. |
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