Your test brief describes the element. It does not specify it. That one-word difference is costing your team an experiment a week.

We're building the Element Context Standard: a precise, shareable record of every UI element so your CRO team, QA engineers, growth leads, and AI coding agents are always acting on the same ground truth.

Here's the real problem.

The most bottlenecked part of running experiments is not the hypothesis. It is not the analysis. It is the handoff.

A CRO specialist writes the brief. Attaches the screenshot with the arrow. Records the Loom. Sends three Slack messages clarifying which version of the element, on which device, in which state. The developer implements what they understood, which is close but not exactly right. Now there is a clarification call. Another revision round. The experiment ships a week late.

QA teams live this on every bug. A manual tester files the ticket with a screenshot and a description. The developer opens the page and sees six things that could be "the button." A 20-minute Slack thread starts. Nothing gets fixed yet.

Growth PMs feel it most in velocity. Every clarification round that delays an experiment by one sprint is a week of learning lost. One missed learning per month compounds into slower roadmaps, slower revenue, and a team that never quite figures out why their experiment output is always lower than it should be.

This is not a communication problem. There is no amount of better Loom recording that fixes it. The problem is structural: a screenshot shows what an element looks like. It does not show how to find it programmatically, what state it was in, what the DOM hierarchy looks like, or whether your change will cause a CLS regression. That information does not exist in any format your team can currently send.

So we built the fix.

One click in the Chrome extension captures the complete specification: DOM hierarchy, computed attributes, multiple selector strategies with stability scoring, a screenshot, visible CLS risk from the element's layout context, and the console logs at that exact moment.

That is the test brief. The developer opens one link and has everything: the exact selector to target, the parent-child structure, the implementation risk, and the full runtime context. No follow-up call. No revision round. First-pass implementation.

We call that artifact an Element Context Standard record. The same capture that briefs a client developer on a test variant is the same artifact a QA engineer uses to file a reproducible bug report and the same spec a growth PM hands to engineering for an experiment. One capture. Every context. No translation required.

Where this is going.

Some teams will say: just drop a screenshot and the page URL into Cursor, and the agent implements the variant. That works. For one test, on one machine, today.

But the screenshot shows what the element looks like. It does not give the agent the CSS selector it needs to write a stable fix. It does not show the DOM hierarchy the agent needs to understand what it is touching. It does not capture the CLS context that tells the agent whether its change will break Core Web Vitals. And it does not give your next QA run, your next experiment, or your next AI agent the same starting point you had.

You are still the translator. Every single time.

ECS captures are what happens when the translation stops. The CRO specialist captures once. The developer implements from a specification. The QA engineer verifies against the same artifact. The AI coding agent receives the capture as its instruction set and implements the variant without asking a single follow-up question.

Teams building element context libraries now will onboard AI agents in a day. Everyone else will spend months recreating what they should have captured.

What we believe.

• An experiment brief that requires a clarification call is not a brief yet a description tells someone what to look for. A specification tells them exactly what to build. Developers implement specifications on the first pass. They iterate on descriptions indefinitely.
• Implementation errors are an artifact problem, not a people problem when a developer implements the wrong element, the brief was ambiguous. Give them a complete specification and implementation errors disappear.
• Experiment velocity is a compounding asset one extra experiment per month, shipped without a revision cycle, compounds into faster learning, faster revenue, and a team that gets smarter faster than the competition.
• The context layer is the moat every AI coding agent your team adds will need the same precise element context that your developers need today. Capture it once. Use it for every human, every agent, and every tool in your stack.

We are not building a session replay tool. We are not building a testing framework. We are not building an A/B testing platform. We are building the element specification layer that every one of those tools has always assumed existed but never provided.

For years, CRO teams shipped test briefs that looked complete and generated revision cycles anyway. QA teams filed bugs that looked thorough and still got "can you reproduce it on a call?" Growth PMs ran twelve experiments a quarter when they should have shipped twenty. None of it was malice or incompetence. It was a missing standard.

And we built the standard.

One click. Complete element context. Shareable to every developer, every QA engineer, every growth lead, and every AI agent in a format they can act on without asking a single follow-up question. That's Samelogic.

We're just getting started.

Dwayne Samuels

Co-founder & CEO, Samelogic