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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 32 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.

analysis

OpenMobile-2 trains phone agents in simulated apps

OpenMobile-2's authors report a gain on a separate physical-phone benchmark.

The big change

What changed: A repeatable training environment makes it possible to ask which stage of an agent's development improves a fixed task, rather than treating the final score as a single unexplained result.

Why it matters: Repeatable tasks can reveal whether training improves the agent, while a separate device test checks whether any gain survives a change of setting. Neither score describes unrestricted use across people's accounts and changing apps.

What to watch: A developer choosing a training recipe needs stage-by-stage results for both model sizes. A final score alone cannot show which step helped.

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guide

Analyze one public web page and check its summary, points and tone

Capture one permitted public HTML page, generate a short summary, quoted key points and estimated tone, then compare every claim with saved text before recording human approval or a hold.

The big change

What changed: This recipe turns a one-page model analysis into a local draft linked to the captured text, followed by a separate human decision. The raw HTML is represented by a hash rather than retained in the draft.

Why it matters: A reader can check the summary and quoted points against the same text the model received, then preserve a held version when an interpretation or omission is wrong. The receipt identifies the reviewed draft; it cannot certify the page's truth.

What to watch: The choice of page and the human comparison remain decisive. Rights to process its text, incomplete HTML extraction, account access and provider charges limit when the recipe is useful. A changed page calls for a new capture and review.

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guide

Draft a LinkedIn post and visual, then send both to ClickUp for review

Check approved facts, draft a LinkedIn post with Claude Code, generate a Nano Banana 2.1 visual, and attach the actual PNG to a ClickUp task for human review.

The big change

What changed: A single reviewed fact list can drive a post draft and a visual, with their exact file hashes carried into a ClickUp review handoff.

Why it matters: A social editor can give a named reviewer the actual PNG, post text and source links in one task. The reviewer still has to inspect every claim and image detail before any publishing decision.

What to watch: The handoff is complete only after the task’s List, status, assignee, visibility, description and attachment have been checked in ClickUp. An API filename readback alone cannot establish that the reviewer saw the approved image bytes.

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guide

Find a company and check a cited competitor profile

Find a company's official product page, keep a real retrieval receipt, draft a cited four-section profile and classify every claim before making a checked report.

The big change

What changed: One reproducible workflow keeps discovery, an operator-confirmed identity, an actual official-page retrieval receipt, a four-section searched draft and a reviewed final report together.

Why it matters: A search citation or company webpage can show what was said without proving a comparison. The final report labels vendor claims and independently verified facts, and says Unknown when evidence is missing.

What to watch: The human still has to check identity, dates, contrary evidence and rights. The script holds ambiguous citations, incomplete searches, unsafe retrievals and stale review records; it cannot certify the reviewer's judgment.

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guide

Draft and check three outreach emails from one company page

Prepare three unsent emails from one company page and approved offer; check claims and the recipient before saving.

The big change

What changed: Gemini URL context can retrieve a supplied public page for a drafting request.

Why it matters: The script ties source citations to the exact message field and saves three ordered, unsent drafts.

What to watch: A citation is a review lead, not proof that a claim is true. Keep or hold each message after checking the page, offer and recipient record.

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guide

Research one topic, approve a linked digest and post it to one Slack channel

Use a complete Python 3.12 recipe to search one public topic, check a cited digest, authorize one Slack channel post and inspect its exact bot readback or uncertain-delivery journal.

The big change

What changed: A public research question can lead to a shared briefing through one inspectable local workflow. Native web search supplies linked bullets, a person binds approval to the exact draft, and a bot attempts one authorized channel post. The model's role ends before the sharing decision.

Why it matters: An operator with the required access can prepare a compact, source-linked update for channel readers and retain a record of the approved text and intended destination. Source review and audience choice are visible in the same procedure; the offline tests cannot establish a live digest's accuracy.

What to watch: The decision to share turns on the actual source pages, reuse rights and channel permission. If a send becomes uncertain, the operator must inspect the channel and author before another attempt; the journal cannot guarantee exactly-once delivery.

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guide

Write a sourced blog draft with live web search and human review

Use a complete Node.js project to search the live web, draft a cited blog post for a chosen audience, then open the sources and resolve its claims before use.

The big change

What changed: A blog-writing workflow can connect live search, a complete draft and visible source links in one reproducible local run. The saved draft text and selected search and citation evidence remain available alongside the readable draft.

Why it matters: Writers can inspect the trail behind each material claim before approving copy. A clickable citation makes that review possible; it does not make the claim true.

What to watch: The decision to publish still turns on the underlying pages, their dates and contrary evidence. The program holds an incomplete search or broken citation display so the writer sees that problem before using the draft.

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