TLDR Founders 2026-05-25

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Application companies need to ask themselves whether AI agents will still need them in three years. Many companies rely on custom workflows that assemble several pieces together, something AI can easily route around. Companies need to think about the moats that aren't easily copied, like proprietary data that took years to accumulate, regulatory positioning that's expensive to replicate, and relationships with customers. Adapting likely means changing what you sell, who buys it, and how you charge. Changing one of these is already hard, and doing all three is something only a small number of teams are capable of.

There are three real flavors of AI services right now, and the bet to take isn't a body shop of elite generalists or the labs' own consulting arms whose engineers quietly work for their sponsor's lock-in. It's the inverted shape, a product company that delivers a service, where you build an internal agent and context layer and use it to serve one narrow customer cheaper and faster than anyone else can. The tell is whether they'll do anything for anyone, or whether they have religious beliefs about what they won't touch. The next Accenture isn't Accenture with AI on the front of the brochure, it's a company that rebuilt how services get delivered from the ground up.

The day after the President signed the executive order on financial technology, the Federal Research Board released a formal proposal to establish a special-purpose 'Payment Account', a streamlined, payments-only account category designed to bypass the traditional Master Account bottleneck. This framework promises a 90-day review timeline for Tier 2 and Tier 3 non-bank applications. While this sounds like a massive win, the operational reality is a lot more complicated. This article looks at the core opportunities, constraints, and economic hurdles to consider.

Simon Last at Notion runs coding agents on a single session for days, sometimes weeks, and they remember the patterns they learned on day one. The biggest mistake teams still make is scoping tasks for an afternoon when the right size is work that would take a strong engineer multiple weeks. Your job is to write plan docs faster than the agent burns through them, and to have a second read-only agent review every diff before anything ships.

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OpenAI's new ChatGPT feature, available inside Microsoft PowerPoint, allows users to build and edit presentations using the AI chatbot. The feature allows users to describe what they want, and the assistant generates an initial structure from that input. The tool can modify or insert slides and also apply reasoning to a finished deck to surface weak points in the narrative or predict objections that audiences may bring up. The feature is available to users on all subscription levels. It can be added either through the Microsoft marketplace or through PowerPoint's own interface.

Google Docs Live combines an AI conversation mode with word processing to help users create first drafts. Users just start talking, and it makes sense of the input and forms it into something workable. The feature is still in an early version. This article reviews the prerelease, noting the mistakes it makes, and suggests possible improvements to the system.

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12 AI labs have a combined valuation larger than Ford and GM, but none of them sell anything. These Virgin Unicorns are valued at over a billion dollars but are innocent of product or revenue. Sophisticated investors are writing growth-stage checks to these pre-companies because the potential payoff is huge. This has not played out well in the past.

Google is doubling down on hiring forward-deployed engineers (FDEs) and making the interview process much simpler. Its hiring process has been shortened from four to six interviews over the course of weeks to as few as two interviews in just two days. OpenAI has outsourced its FDE hiring spree, and Anthropic plans to use outsourced FDE recruitment. The new FDE roles could be a great opportunity for early-career software engineers entering the industry.

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a16z and others treat content as core to their business amidst AI making software cheaper and distribution channels busier.

Lemkin typed a single run-on lowercase sentence into Replit asking for an attendee card page that uploads a headshot and generates a 1080x1080 image, and five minutes later the agent had built circular cropping, three background options, editable text, PNG export, wired the route, added a footer link, and deployed to production.

Headless interfaces are plastic, malleable to the interface users need when they need it.