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All briefings

Follow the change ·

The day,
in perspective.

What happened in AI and robotics — and the change behind it. A reading path through 36 stories from BIG CHANGE.

Ordered using RADAR attention, story opens and likes. Excerpts from our published reporting; open a story for the full context and sources. Dates in UTC.

Original story: guide

Run Claude Code Ultrareview on one branch and verify its findings

A documentation-based guide to checking repository upload and credits before one Claude Code cloud review, then verifying its findings against the branch before a human merge decision.

The big change

What changed: /code-review ultra offers a cloud review of the current branch against its default branch, or against a base you name, including staged and uncommitted changes.

Why it matters: The review can return file-specific findings for an existing change, but the branch route also uploads repository state. The visible diff alone does not define what leaves the machine.

What to watch: Availability, upload scope, one-time free runs and usage-credit estimates can vary. A finding still needs local verification, and a review with no findings does not prove the branch is free of bugs.

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Original story: guide

Check Claude Code instruction scope across two client projects

Compare the instructions loaded in two fresh Claude Code project sessions, then verify when a nested instruction file joins context after an authorized read.

The big change

What changed: This guide turns Claude Code's documented instruction hierarchy into a repeatable comparison across two existing, authorized project directories. You record the files loaded at launch, then check whether a nested instruction file appears after a permitted file read.

Why it matters: A shared parent, personal instruction, import, rule or setting can affect both projects. /context shows loaded memory-file membership in the running session, so you can investigate an unexpected path before doing client work.

What to watch: Loaded instructions do not limit which files Claude can access or guarantee that it follows every instruction. Review the actual account, permissions, imports, hooks and data-use terms before sending any client content to the selected provider.

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Original story: guide

Find and verify 20 businesses with Firecrawl and Claude Code

Connect Firecrawl to Claude Code, check public business contacts and two own-site facts for 20 businesses in your chosen market, then inspect a private interactive HTML list.

The big change

What changed: Firecrawl's hosted MCP connection gives Claude Code tools to search the web and read a known page. The current setup uses browser sign-in through OAuth, so the researcher can begin without placing an API key in a prompt.

Why it matters: A researcher can keep discovery, page notes and local file creation in one workflow, while retaining the exact page behind each contact detail and business fact. Search snippets and model summaries still need checking against the business site.

What to watch: The useful handoff is a reviewed file, not a list generated in chat. Its value depends on the chosen market, permitted pages, available budget and a person opening every cited source. A local HTML file does not make the hosted search and Claude Code data flow local.

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Original story: guide

Build and check a Pomelli Business Profile

Create a Pomelli Business Profile from an authorized website, approved material or a template, then check and correct its brand details against the owner's references.

The big change

What changed: Google's current Pomelli instructions offer website, from-scratch and template routes to a Business Profile, including a way to revise it with Pomelli Agent.

Why it matters: A business without a website can still begin a profile, while a business with one can inspect what Pomelli derived or imported before using the profile further.

What to watch: Generated brand details are suggestions until an authorized person checks them. An unresolved business fact or visual choice leaves the profile unready.

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Original story: guide

Use Superpowers in Claude Code to plan, test and review one code change

A documentation-based guide to taking one owned code change through an approved Superpowers design and plan, observed red-green tests, task and branch review, and an owner decision.

The big change

What changed: An approved design and implementation plan give the coding agents a specific task and constraints before they edit the repository.

Why it matters: The documented task flow pairs observed failing and passing tests with one reviewer’s separate specification and quality verdicts, then a broader review of the whole branch.

What to watch: The owner still checks the complete diff and fresh acceptance results and decides what happens to the branch. A completed agent workflow can retain disclosed findings.

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Original story: guide

Install Context Mode in Claude Code and check its session output

Install Context Mode in Claude Code, inspect its hooks and session statistics during a bounded coding task, then verify the actual files and checks before accepting the work.

The big change

What changed: A Claude Code plugin can intercept selected tool calls, keep larger results outside the conversation and index session events for later retrieval. The installed marketplace version and active hooks have to be checked in the reader's own session.

Why it matters: On a long coding task, a developer can compare the plugin's record of routed output with the actual files and test results. That gives a way to judge whether filtering preserved the evidence needed for a decision, instead of accepting a compression figure as proof of useful work.

What to watch: The decisive check is whether the intended tool calls route in the installed environment and whether the original evidence remains accessible after a compacted or resumed session. The plugin's local report cannot establish provider charges or code correctness.

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Original story: guide

Map your own work and choose a first AI task to test

Make a dated map of the tasks you own, their outputs, checks, rights and human approvals. Choose one AI task to test later, or record why none is ready.

The big change

A checkable output makes a task easier to evaluate, but it does not make the surrounding work suitable for unsupervised AI. The useful first decision is a traceable map of the work you control: what must be delivered, how errors would be found, whether failed attempts can be contained, and who has the right to approve a test. The answer can be one bounded candidate or none yet. This procedure proposes that decision record; BIG CHANGE has not tested it in an organization or measured any time, quality or cost benefit.

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Original story: guide

Publish an AI-built dashboard on Vercel with a checked first release

Review an existing AI-built dashboard's code, data and access, then check Vercel's first production deployment by URL, routes, logs and viewer permissions.

The big change

What changed: An AI-assisted local dashboard can become a live production deployment with its first vercel deploy. The release boundary can arrive before a team has made a preview.

Why it matters: The person publishing the app must check generated dependencies, data calls, secrets and access before that command. A working local screen says little about who can open the production domain or what the server can read.

What to watch: The decisive record is the actual deployment and its access checks: the production URL, build identity, representative routes, logs, and both allowed and denied viewers. Later changes can use previews, but a production build uses its own variables and needs the same readback.

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