Gerardo.

Interesting. Gamma paid “the design tax” to a fantastic design agency for their brand identity. I’d love to see a robust public conversation about how AI design tools aren’t good enough for companies to use on their own brands, but are ostensibly good enough for their customers.

There's a hidden tax on every knowledge worker in the world, and nobody talks about it: The design tax. You're a strategist, a sales lead, a marketer. You were hired for what you know. But every meeting, every pitch, every proposal expects you to show up with something that looks like a designer made it. I lived this. Before Gamma, I spent time in consulting and investment banking. I spent more hours formatting slides than the analysis that went into them. When my cofounders and I started Gamma, we asked: what if you never had to be a designer in the first place? Five years and nearly 100 million users later, we've refunded billions of hours of the design tax. Today, we're eliminating it for good with our biggest launch ever. Gamma Imagine — a powerful, AI-native visual creation tool directly in Gamma. Posters, logos, infographics, visuals from a single prompt. On brand, every time. AI-Native Templates. Templates were supposed to save you from design work. Instead you spent the time filling them in. So we completely rebuilt the template experience. Modify a whole deck with a single prompt, with your brand and style intact every time. Gamma Connectors. You're already thinking in ChatGPT and Claude. Now Gamma sits inside the most popular work apps in the world. No more context-switching. You were hired for your ideas, not to resize text boxes. Let Gamma pay the design tax.

Adobe CEO Shantanu Narayen is stepping down after 18 years.

I posted about agentic payments being an unfathomable TAM about a week ago. We’ve been building in the background. Some very exciting updates coming that will completely change how people think about AI agents making autonomous payments. Stay tuned. 👀

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable