Done-for-you buildA specialist builds your first campaign · 6 build slots left · closes in —Claim a build slotClaude 4.7 runs a second pass on its own output before showing it to you. If the internal reviewer finds issues, the model revises. You see the corrected version. The result: zero…
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Guide
4 sectionsSection 1Claude 4.7 runs a second pass on its own output before showing it to you. If the internal reviewer finds issues, the model revises. You see the corrected version. The result: zero hallucinated bugs in code review, and SQL queries that are right rather than just confident.
The mechanism
4.6 vs 4.7 on the same prompt
Zero hallucinations vs three
Speed and tokens
Section 2Claude 4.6 accepted images up to roughly 1,092 pixels. Anything bigger got downsampled. Dense dashboards, handdrawn wireframes, screenshots with small text - Claude was seeing a blurry version. 4.7 accepts up to 2,576 pixels on the long edge. That's approximately six times the pixel count. For GTM teams who live inside data dashboards and prospect platforms, this is the single most practical upgrade in the release.
What actually changed
What you can now hand Claude
PDF upload vs screenshot
Section 3X-High is a thinking budget tier above what was previously Claude's maximum. Standard mode uses a few hundred thinking tokens. High uses several thousand. X-High goes up to 30,000 thinking tokens per response. It's expensive. Use it surgically for tasks where you'd otherwise pay an expert hourly.
The security architecture test
The decision rule
What to expect on Pro
Section 4Claude 4.6 had a compliance problem. Tell it to use exactly five data points and it would add a sixth it inferred. Tell it no adjectives and it would include two. 4.7 fixes this. It now weights explicit constraints much more heavily against its default tendency to add. For GTM workflows where Claude's output feeds directly into another system, this is the change that removes the most friction.
4.6 vs 4.7 on a constrained brief
Structured data extraction
Prompt chaining
Constrained content generation
When to upgrade
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