Jaime Vengoechea
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The Applied Future.

AI, work, technology, and what comes next.

Sep 15, 2026Source-linked briefingPrevious editions RSS feed
In this edition

Tuesday's four selections look at AI inside professional workflows: advisor preparation, marketing operations and model-cost decisions, plus a conversation about human exploration and technology. Three sources were published September 14; the marketing case study is from September 11 and is newly selected here. Two official videos accompany today's reading.

This Edition

Sep 15, 2026 · 4 stories
Video: Anthropic / YouTube . Loads YouTube when played.
Today's leadProduct announcement

Claude connects advisor tools for preparation and documentation

Anthropic announced Claude for Financial Advisors, combining connectors to portfolio, CRM and planning systems with task-specific skills. The tools target research, meeting preparation and documentation around client work. The announcement positions the software as support for an advisor's judgment, not a replacement for it. These are announced capabilities, not independently verified improvements in advice quality.

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Context & source check

The broader opportunity is connecting fragmented information around a clearly defined job. In sensitive workflows, access controls, source checks and professional review matter more than the speed of a generated summary.

Product announcement. Company source. Source checked Sep 15, 2026. Not independently tested.

The reading list

3 stories

More from This Edition

3 stories
Latest editionPractitioner case study; newly selected

A marketing runbook becomes an automated event workflow

GitHub marketer Tomoko Tanaka describes using Copilot, Issues and Actions to coordinate event setup and follow-up. Written procedures guide the work, with human approval before execution, dry runs and reviewed changes. The September 11 case study also describes a scheduled process failing silently for five days, highlighting why automation needs monitoring as well as instructions.

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Context & source check

Start with one recurring marketing task and document its inputs, approvals and failure signals. Automating an unclear process makes it harder to supervise; a visible runbook and dry-run mode make experimentation easier to review.

Practitioner case study; newly selected. Builder / platform source. Source checked Sep 15, 2026. Not independently tested.

Latest editionFeature rollout

Copilot adds controls for balancing model cost and quality

GitHub is rolling out efficiency, balance and intelligence tiers for Copilot's automatic model selection in VS Code, Copilot CLI and its app. The tiers change how selection weighs cost, quality and response time, rather than assigning a fixed model. GitHub says all tiers draw from the same available models and usage follows whichever model is selected.

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Context & source check

Match model effort to the task, then measure useful completion rather than raw response speed. A preference for quality does not mean every request needs the largest model, and a low-cost setting is not a guarantee of low total workflow cost.

Feature rollout. Builder / platform source. Source checked Sep 15, 2026. Not independently tested.

Video: Google / Christina Koch / YouTube . Loads YouTube when played.
Latest editionInterview

Christina Koch reflects on exploration, robotics and AI

Google published a conversation between NASA astronaut Christina Koch and James Manyika about exploration and technology. The accompanying article highlights cooperation between astronauts, robotics and AI, alongside Koch's perspective on seeing Earth from space. This is a reflective interview, not a new scientific finding or a product announcement.

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Context & source check

A useful change of pace from product launches: consider where technology extends human capability and where judgment, teamwork and curiosity remain essential. The full conversation offers context beyond a short news summary.

Interview. Company source. Source checked Sep 15, 2026. Not independently tested.

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