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How We Label

The decision it resolves: how do you know what to trust here: what's standard, what's hype, and how do I know I'm not just reading another confident overclaim?

The internet does not need another confident guide to agents. What's actually scarce (the thing this reference is built around) is an honest answer to "is this real, is it standard, and how do you know?"

So every technique carries two quiet signals, and they're delivered in plain prose, not as a dashboard. No rings, no quadrants, no blips. If you've seen a technology radar, this is deliberately the opposite register: a sentence you could imagine Martin Fowler writing.

1. The maturity lens

A single, honestly-argued line near the top of each chapter places the technique on a four-rung scale:

Lens What it means How to read it
Standard The accepted default. Reach for it without much debate.
Established Proven and common, with known trade-offs. Safe, but know the trade-offs.
Emerging Gaining traction, still settling. Adopt deliberately; expect change.
Contested Overclaimed or disputed. Lead with the skeptical read before you commit.

The lens is the anti-hype function. When something is widely talked about but rarely beats the simpler thing, it gets Contested, and the chapter says why. Concept and framing chapters carry no lens (n/a). Fast-moving topics also get a Last reviewed date, because a lens on this month's model landscape is only as good as its date.

2. Cited evidence

Every non-obvious claim footnotes a source: a paper, a primary doc, or a benchmark. Two kinds of evidence both count, and the chapter is explicit about which it's leaning on:

From production. Where I've actually shipped a technique in a real, revenue-bearing system, you'll see a callout like this, with the first-hand detail: the failure that taught the lesson, the number that mattered, the thing that broke at 2 a.m. This is the strongest evidence on the site, but it is added on top of researched coverage, never a substitute for it.

In the companion repo. Where a technique is demonstrated in Listing Studio (the public commerce code this site teaches through) rather than drawn from production, it's marked like this. The code is real and runs; it just didn't carry real money.

Everything else is grounded in cited research. Sources are mandatory. That requirement is the single thing that most separates this reference from the overclaimers.

Why labelling beats "trust me"

For you, the reader: the lens tells you how hard to lean on what follows, and the citation lets you check the work. For the reference itself: breadth is easy to fake, but labelled, sourced breadth is not. That discipline is the moat.

It's also a contribution rule. Every pull request carries a maturity lens and cites its evidence. A PR that overclaims (confident prose about something untested, or a coined label sold as canon) gets sent back, however good the writing. When in doubt, downgrade the claim.


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