---
title: "Vision"
canonical: "https://current.tinyfish.ai/issue/18/vision"
publication: "TinyFish"
publisher: "TinyFish"
language: "en-US"
guide: "https://current.tinyfish.ai/llms.txt"
permalink: "https://current.tinyfish.ai/issue/18/vision"
issue: 18
section: "vision"
description: "Where human-AI collaboration is heading"
authors: ["Nora Kaplan"]
published: 2026-03-02
updated: 2026-02-26
articles: 11
---

# TinyFish

> CURRENT is a journal about AI agents in production, for the engineering and product leaders who have to make them work. Drawing on experience building enterprise web agents, it explains why the demo succeeded and the deployment didn't, and what that means for choosing vendors, briefing the board, and avoiding mistakes others have already made.

[Read on the website](<https://current.tinyfish.ai/issue/18/vision>)

## Issue 18 — Vision

Where human-AI collaboration is heading

### The Mirror

- [The Honest Version We Built for Machines](<https://current.tinyfish.ai/issue/18/vision/article/10445/markdown>) — By [Nora Kaplan](<https://current.tinyfish.ai/team/26/markdown>) · Published 2026-02-25 · Format: The Mirror

A hotel booking site, talking to an AI agent, can't show a countdown timer. It can't bury fees on page three of checkout. Under a new W3C draft specification called WebMCP, websites must declare their capabilities as typed functions with honest descriptions of what those functions return. The requirement sounds like plumbing. But when a site has to produce a clean, structured version of itself for machines, it also produces something else: a document that sits next to the human-facing version and makes the distance between them measurable.

### Two Doors

- [The Honest Interface](<https://current.tinyfish.ai/issue/18/vision/article/10446/markdown>) — By [Nora Kaplan](<https://current.tinyfish.ai/team/26/markdown>) · Published 2026-02-25 · Format: Two Doors

A cancel button in eight-point gray on a white background is technically a cancel button. The FTC would disagree about what it communicates. Dark patterns work because visual interfaces have texture: color, size, placement, language that shames you for choosing wrong. When a site must declare its capabilities to an agent through a structured protocol, there is no font size. No fold. Some manipulations have no mechanism to survive that translation. Others find new places to hide.

- [The Human Door](<https://current.tinyfish.ai/issue/18/vision/article/10447/markdown>) — By [Nora Kaplan](<https://current.tinyfish.ai/team/26/markdown>) · Published 2026-02-25 · Format: Two Doors

If the machine-readable interface is more honest than the human one, an uncomfortable question follows: what happens to the human-facing web it leaves behind? Secondary interfaces have a history. Desktop after mobile-first. Admin panels behind consumer apps. They get enough investment to function, never enough to thrive. But the human web might break this pattern in an unexpected direction. It might become the door people stop choosing to walk through.

### The Agent's Web

- [Mino on the Hostile Web, the Machine Door, and Why Dark Patterns Work Better on Agents Than Humans](<https://current.tinyfish.ai/issue/18/vision/article/10448/markdown>) — Published 2026-02-25

*In December 2025, researchers published a paper called DECEPTICON that measured something nobody had thought to measure: how effectively the web's dark patterns manipulate AI agents. Hidden cancel buttons, fake urgency timers, shame-laced opt-outs. The finding was jarring. Dark patterns successfully steered agents toward unintended outcomes in over 70% of tested tasks. The human rate? Thirty-one percent.*

### Post-Manipulation Economics

- [The Nudge Economy Meets a User That Doesn't Flinch](<https://current.tinyfish.ai/issue/18/vision/article/10449/markdown>) — Published 2026-02-25

Drip pricing lifted StubHub's revenue by 20%. Confirmshaming, false urgency, roach-motel cancellation flows. A meaningful slice of digital commerce runs on the gap between what consumers actually want and what they can be pressured into accepting.

### Further Reading

- **Google Previews WebMCP: A Protocol for How AI Agents Interact With Websites** — [Source](<https://searchengineland.com/google-releases-preview-of-webmcp-how-ai-agents-interact-with-websites-469024>) — Published 2026-02-25

The news that prompted this issue. Google's first browser-native protocol for agent-site interaction is framed as a developer convenience, but the governance implications run much deeper than the announcement lets on.

- **The Agentic Web Explained: AGENTS.md, MCP, A2A, and the Architecture Taking Shape** — [Source](<https://www.nxcode.io/resources/articles/agentic-web-agents-md-mcp-a2a-web-4-guide-2026>) — Published 2026-02-25

The clearest technical map of how backend agent protocols and browser-facing ones fit together. Worth reading to understand why "the machine door" isn't one door but several, built by different parties with different incentives.

- **Is Your Workplace Set Up for AI Agents?** — [Source](<https://hbr.org/2026/01/is-your-workplace-set-up-for-ai-agents>) — Published 2026-02-25

HBR's electricity-in-factories analogy holds up well here: bolting agents onto existing structures captures almost nothing. The piece is about organizational design, but the logic applies just as cleanly to web architecture.

- **FTC Staff Report: Bringing Dark Patterns to Light** — [Source](<https://www.ftc.gov/news-events/news/press-releases/2022/09/ftc-report-shows-rise-sophisticated-dark-patterns-designed-trick-trap-consumers>) — Published 2026-02-25

Before asking whether agents will navigate the web better than humans do, it helps to remember what the human-facing web actually looks like. The FTC's catalog of deceptive design is the regulatory baseline for a web already built to manipulate.

- **How to Save the Internet From Enshittification: Cory Doctorow on Platform Decay** — [Source](<https://jacobin.com/2025/10/internet-enshittification-antitrust-tech-doctorow>) — Published 2026-02-25

Doctorow's framework for how platforms turn extractive is the sharpest lens for a question this issue raises: does agent-facing infrastructure escape the cycle, or is it just early enough in the cycle to still feel helpful?

- **Subprime Attention Crisis by Tim Hwang** — [Source](<https://us.macmillan.com/books/9780374538651/subprimeattentioncrisis/>) — Published 2026-02-25

The economic substrate beneath everything we're discussing. Hwang's argument that the ad-funded web is a bubble built on manipulable human attention raises an uncomfortable corollary: what happens to that economy when the attention being manipulated belongs to machines?

## Other sections in Issue 18

- [Daily Brief](<https://current.tinyfish.ai/issue/18/daily-brief/markdown>)
- [Market Pulse](<https://current.tinyfish.ai/issue/18/market-pulse/markdown>)
- [Foundations](<https://current.tinyfish.ai/issue/18/foundations/markdown>)
- [Practitioner's Corner](<https://current.tinyfish.ai/issue/18/practitioners-corner/markdown>)
- [Echoes](<https://current.tinyfish.ai/issue/18/echoes/markdown>)

## More

- [Publication guide](<https://current.tinyfish.ai/llms.txt>)
- [Issue archive](<https://current.tinyfish.ai/issues/markdown>)
