The internet of representatives
The old web was built to persuade humans. The new one is built to be verified by agents acting on someone's behalf. Persuasion gives way to proof.
>_ /blog
The Internet for AI Agents
A series about a web where AI agents outnumber people, products are built for machines, pricing becomes an API, and trust replaces persuasion. It covers the core thesis, the stack layers, and the seller's strategy, with short concept guides and practical handbooks.
New here? Start with Act I
The series
Thesis, stack layers, ecosystem, strategy.
When machines become the customer
The first and densest archetype: software bought by agents. What an agent expects from a vendor before a human ever opens the website.
Are you really you?
Before agents compare features or prices, they need proof that the counterparty is real, authorized, and safe to talk to.
The end of landing pages
A landing page persuades humans. An agent needs a machine-readable surface it can parse, test, reject, and trust.
Does this actually fit?
When agents buy, the sales deck is useless. The buyer agent sends a structured brief and scores the vendor on hard evidence.
Pricing as an API
"Contact sales" becomes a dead end when the buyer is a machine. Agents expect quotes they can request, compare, and bind in real time.
Measure, don't believe
Case studies will not be enough. Agents will want sandboxes, benchmarks, and proof on their own data before they buy.
Reputation as capital
When every product claim is instantly testable, a single failed trial can ruin a vendor's reputation across the entire registry network.
Where agents find each other
"Registry" hides three layers (identity, discovery, and reputation) with three different owners. Whoever controls the last one controls the market.
Selling to a machine
Flip the table. When the buyer is a cold, measuring agent that assumes the seller is lying, "don't trust, verify" becomes the seller's best go-to-market.
Handbooks
One audience, one post. What to do now. Pick the one that is yours.
You run a SaaS. Now what?
An agent-driven web is still speculative. Instead of overcommitting, build a ladder of small, reversible bets triggered by real shifts in your traffic.
You have a personal site. Now what?
Proving you are real as an individual is different from doing it as a company. Here is how to start with small, low-risk steps on your own site, and the files this portfolio uses to verify itself.
Concepts
One idea, one post. Atomic lenses on the agent economy.
Time-to-verified-trust
Forget conversion rates. When the buyer is a machine, the funnel metric is how fast it can verify the seller's claims.
The agent-in-the-middle attack
When agents buy from other agents, the classic MITM moves from the network wire to manifests, quotes, and registries. The helpful middle is the main target.
Cross-cuts
Cross-cutting maps that link down into the series.
The dark sides
Algorithmic gouging, gamed manifests, fake reputation, and gatekeeper power: a map of what breaks when agents replace humans in the buying loop.
The new economy of trust
When every product claim is testable, marketing budgets shift from persuasion to verification. Being honest isn't a moral choice: it is the only way to scale.
A sentence can't be signed
The agent-facing web is going markdown with llms.txt, agents.md, and pricing.md. Prose is for comprehension; structure is for commitment. The boundary is a rule, not a taste.
Who owns the words?
Fields only compose if both sides mean the same thing. Instead of one big ontology, we need small sovereign vocabularies, a trust ladder for dictionaries, a read-before-you-speak handshake, and the right to refuse to understand.
The primitive registry
A clean glossary of every machine-readable concept in the series, from manifests to registries, with straightforward definitions and links to the posts.