Long weekend here in the US, so this issue is a bit on the lighter side. The main essay is about something I have been experimenting with lately: using agents to separate the content layer from the presentation layer, so a working note can turn into a visual surface without rebuilding the whole thing every time.
When agents produce longer plans, richer drafts, and more complicated work products, a giant wall of Markdown is not always the best review surface. The harder part is making the review manageable.
The Deck Is Becoming a Working Surface - The main essay. A lot of operating work is recurring communication: pipeline reviews, campaign launch trackers, client status updates, initiative portfolios, risk views, forecast decks, and architecture reviews. The facts change every week, but the communication package keeps getting rebuilt from scratch.
The better flow has three layers. First, point the agent at the context: meeting notes, research clips, project notes, prior examples, a style guide, a logo, or even a PowerPoint that shows the visual language you want. Second, give it a shape: a project timeline, operating risk view, option comparison, or executive initiative summary. Third, let it propose a visual surface, then react to it like a draft. Once the shape is close, create a human-readable Markdown file behind the visual.
That last step changes the workflow. The content is not trapped inside the design. The Markdown file holds the facts, narrative, statuses, risks, decisions, and open questions. Then the agent can regenerate the visual surface from that source.
Also in this issue:
- Signals This Week - Review is becoming the job. Agents are moving into the operating layer. AI backlash is becoming local and economic as adoption runs into land, power, jobs, and fairness.
- The Wire - Writer turned agents into event-based workflow infrastructure. Peter Steinberger's tool stack points to the next agent-infrastructure layer. Gallup found strong local opposition to AI data centers. The Economist analyzed how AI may already be reshaping the graduate job market.
- Meanwhile... - AI helped map a possible non-opioid pain therapy in a University of Pennsylvania preclinical study.
- What I'm Consuming - Google AI announcement roundups, Airbnb's agentic coding work, a video essay on why Anthropic might want Atlassian, and a solo AI founder story on bootstrapping products quickly.
- After Hours - Treasure Island by Robert Louis Stevenson: a useful change of pace, with the strongest parts at the inn before the story reaches the island.
Markdown still has a job: memory, editing, versioning, and portable text. The visual surface has a different job: helping people understand the work quickly enough to discuss it.
The long-weekend experiment: pick one annoying recurring artifact. Build the source file that remembers the facts. Generate the surface that explains them in five minutes. If the pairing works, keep it. If it does not, discard it before it becomes another process.