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.

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.

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.

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.

Explore the AI newsletter ad spend dashboard →

Ask Computer to build yours →

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Until next time, Arturo and Liam.

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