SlimSnap

Sonnet 5 is $2 per million tokens now. Cheap tokens don't fix the real problem. A flat screenshot still makes the model guess which button you meant. Mark it and it doesn't have to.

Claude receives your 28,800px screenshot at 2,600px. The text does not survive. SlimSnap cuts the capture into frames the model can read, and hands over one JSON with every element and where it sits. Nothing gets squeezed out. ⌘⇧L. Free, Mac. slimsnap.ai

The agent edits an element you never pointed at. No error, no warning. You find out when you open the app.

@tymofii Firefox's is the best of the built-ins. But you can't mark anything on it, and a very long page gets shrunk by the model until the text is unreadable. The PNG is fine. The reading is the problem.

@slimsnapai Firefox has a built-in full page screenshot: right-click -> Take Screenshot -> Save full page. That PNG works well for AI reading.

How to take a full page scrolling screenshot that AI can actually read slimsnap.ai/blog/full-page…

Grok 4.5 and three new GPT models landed on Friday. Hand any of them a flat screenshot of a busy screen and each one still guesses which element you mean, with full confidence. That part has survived every model release so far.

Asked builders on Product Hunt how they choose between five working AI versions. Every single answer: the one that hurts least to change later. Clever code never came up.

The screenshot that trips agents most is a screen with five similar buttons. The agent picks one with full confidence. Three different users told us the same story since launch. When you mark the element yourself, there is nothing left to guess.

Amazon built an internal leaderboard for AI token use. People gamed it with agents until it got shut down. Uber burned a year of AI budget in four months and measured nothing. Tokens got rewarded because they were easy to count

Prompting is becoming pointing. Models read fine now. What they still can't do is guess which button you mean

The wrong-element edit doesn't blow a head gasket. The agent says done and gets out of town. You find the mischief a day later, in the app. No alarm, no forensics.

Who counts as a developer now? slimsnap.ai/blog/who-count…

AI agents open 98% more pull requests. Code review now takes 91% longer. Generation got cheap and verification got expensive. The less the agent has to guess, the less you have to check.

Teams now spend 44% of their tokens fixing bugs the AI wrote itself. Everyone wants a smarter model. Almost nobody asks why it edited the wrong element in the first place. Point at what you mean and half the rework never happens.

Devs now refuse to work without AI, even for a paid study. The same study found it made them slower while they felt faster. We lost the ability to feel our own speed. That should worry us more than the slowdown.

Developers trust AI code less than they did two years ago, even with stronger models. The bottleneck was never the model. It's how exactly you can point at the thing you mean.

66% of devs say their top daily frustration is AI code that's almost right, but not quite. That's the wrong-element problem with a survey attached. The fix isn't a smarter model. It's telling it exactly which element you mean.

"Screenshot app" searches were flat for years, then went vertical in mid-2025. My read: agents. The screenshot became the fastest way to tell Claude Code or Cursor what's wrong. The real demand isn't a screenshot app. It's getting your screen into your agent, precisely. That's the bet I'm building.

You point at one element. The agent edits a different one. You redo it. Next time you just give up and fix it by hand. SlimSnap marks the exact element so the agent acts on it instead of guessing.

A raw screenshot costs your coding agent about 1,500 tokens on Sonnet, up to 4,784 on Opus. Every single turn. The same screen marked down to the one element you mean: about 700. You're paying premium rates for it to re-read the whole image and still guess wrong.