AI agents are coordinating without humans


Digest #70 → Subscribe

5 minute read

TLDR:

An AI agent went from bedroom project to Cloudflare production in five days. Bots are building social networks and coordinating without humans.

Meanwhile, 43% of CMOs admit their marketing data isn't trustworthy. Every platform claims credit for the same sale.

The real shift: Stop perfecting measurement of what happened. Start compressing feedback loops faster than competitors can.

Let's get into it.


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THE LEARNING WINDOW IS CLOSING FAST

Last week, an open-source AI agent went from bedroom project to Cloudflare-hosted production tool in five days. It renamed itself three times along the way.

Most Amazon sellers didn't notice. They were too busy evaluating bid management tools that claim to use AI but really just run if-then loops from 2019.

Here's what actually changed.

Software Learned to Make Decisions

For years, Amazon automation meant programming specific responses. Inventory hits 50 units? Send alert. ACOS jumps 2%? Reduce bids. You told the system what to do. It waited for the trigger. It executed. Loop complete.

That just changed.

The new generation of AI agents don't wait for triggers. They observe context, decide when to act, check results, and adapt. When a checkout flow breaks, they don't log an error, they find an alternate path. When support queues back up, they don't send an alert - they reorganize the workflow.

The difference: You set boundaries and the system figures out the best path within them.

Most sellers are still thinking in terms of automation, rules you write once. But autonomous agents are already coordinating with each other without human input. Last week, a Reddit-style platform called Moltbook appeared, built by bots, for bots. Content creation, learning from each other, coordinating. No human said "build a social network." They just did.

That's the gap between where most Amazon tools are and where this technology is heading.

The Real Problem: We're Measuring the Wrong Things

You're tracking ACOS, conversion rate, click-through rate, and sales attributed to each campaign. Every platform tells you they're responsible for the sale.

Facebook says the customer converted because they saw your ad two days ago (even if they scrolled past it). Google says they won because the customer searched your brand. Amazon says it was the Sponsored Product click.

Add up the attributed revenue and you've somehow made 400% ROAS. Your bank account disagrees.

A recent Gartner survey found less than half of marketing data CMOs look at is trustworthy.

But it's not the platforms lying. Customer journeys don't fit into clean attribution boxes anymore. Someone discovers your product on TikTok. Googles it. Reads Reddit threads. Watches YouTube. Searches Amazon. Clicks your ad. Buys.

Who gets credit? Everyone? No one? The last click?

You're asking the wrong question.

What You Should Focus On Instead

Most sellers are stuck perfecting their measurement of what already happened. Which campaigns drove which sales. Which keywords converted best. Which attribution model is "correct."

The game shifted. The questions that matter now:

Can you compress feedback loops faster than competitors? Can you spot patterns humans miss? Can you act on opportunities in hours instead of weeks?

That's what autonomous AI enables. Not better reporting on last month - faster learning cycles right now.

Here's the uncomfortable reality: industry estimates suggest 99% of "AI-powered" Amazon tools still run if-then logic. If ACOS increases 1%, reduce bid by 2%. Every time. Same trigger, same response.

Real AI notices your competitor went out of stock, sees your ACOS drop and sales spike, and understands it's a temporary market shift - not improved performance. It analyzes your specific context right now, not predetermined rules from last year.

Why Most Sellers Will Miss This

There's a learning window open right now. These capabilities aren't in mainstream tools yet. They will be within months.

When that happens, the advantage won't be access to the technology - everyone will have access. The advantage will be the experience you built learning how these systems behave. Where they break silently. What constraints actually matter. How to supervise agents that move faster than you do.

The sellers and agencies winning this transition won't be the ones who automate everything first. They'll be the ones who spent six months learning how agents behave under pressure, where they need guardrails vs. autonomy, and what signals actually matter vs. what's just noise in a dashboard.

Right now, you can experiment with these approaches while competitors are still arguing about whether last-click or first-click attribution is more "accurate."

By the time they figure out that debate doesn't matter anymore, you'll be compressing feedback loops they can't match.

The Practical Move

You don't need to overhaul everything tomorrow.

Fix your foundational data first. Consistent UTM parameters. Campaign naming you'll understand in six months. If your tracking is a mess, AI just processes your mess faster and gives you confident-sounding garbage.

Ask customers directly. Post-purchase survey: "How did you first hear about us?" The answers won't match your pixel data. That gap is information.

Test on the margins, not your core revenue. Try a new tactic in one product line or market. Compare results against business as usual. Small experiments teach more than dashboard theory.

Then experiment with agents on low-risk work. Email triage. Report formatting. Repetitive monitoring tasks. Learn how they behave before handing them anything critical.

The future isn't choosing between humans and automation. It's learning how to supervise systems that move faster than spreadsheet formulas ever could.


🛠️ Resources

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That's it for this week! Have questions or feedback? Hit reply - we read every response.

Forward this to a brand owner or agency who needs to stay ahead of the curve.

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