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Financial and logistical systems thrive by standardizing a simple, "dumb" core protocol (like a check's format or a street address). This stability allows for complex, intelligent systems to be built on top without breaking the underlying infrastructure, ensuring long-term interoperability and resilience.

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In an era of ephemeral apps, storing core information in a basic, text-based format like Markdown is the ultimate future-proofing strategy. It ensures data remains portable and accessible to any future AI model or application, similar to how plain-text HTTP drove web adoption.

Build products on simple, foundational concepts rather than complex, rigid features. These core building blocks can then be combined and layered, leading to emergent complexity that allows the product to scale and serve diverse needs without being overwhelming by default.

Early internet users feared online payments until the HTTPS encryption standard provided a secure, trustworthy process. Similarly, broad AI adoption requires process standards for safety and risk management to build the public and enterprise trust necessary for a boom in the AI-enabled economy.

Storing information in simple, portable formats like Markdown is crucial for future-proofing data in the AI era. This approach mirrors the brilliant design decision of using plain text for HTTP, which drove its widespread adoption.

Vercel's CTO Malte Ubl notes that durable, resumable workflows are not a new invention for AI agents. Instead, they are a fundamental computer science concept that has been implemented ad-hoc in every transactional system, from banking in the 70s to modern tech giants, just without a standardized abstraction.

Contrary to belief, standards and structured processes don't stifle creativity. As management expert Peter Drucker argued, standardization provides a stable foundation that handles the knowns, freeing up cognitive resources to innovate on the unknowns within a structured, less risky environment.

Andreessen reveals a key design choice for the early web: using inefficient text-based protocols like HTTP and HTML. This bet on human readability and the "View Source" option made the web accessible to developers, creating a virtuous cycle of content creation and demand for bandwidth.

The blockchain ecosystem is not a single network but many fragmented 'zones' with different rules, much like the early internet. Cross-chain interoperability protocols serve the same function as TCP/IP, providing a standardized messaging layer to connect these disparate public and private chains, creating a cohesive network from fragmented parts.

Before stablecoins, launching financial services in N countries required N² unique integrations. Now, companies can build on a single dollar-stablecoin standard and instantly operate globally. Adding other local stablecoins becomes a simple N-style addition, radically simplifying global expansion.

Stripe intentionally designed its Agentic Commerce Protocol (ACP) to be provider-agnostic, working with any payments processor and any AI agent. This strategic decision to build an open standard, rather than a proprietary product, aims to grow the entire agentic commerce ecosystem instead of creating a walled garden.

Dumb Protocols Like Checks and Postal Codes Enable Smarter, More Resilient Systems | RiffOn