Talk · The Momentum Effect, PMI Co-Op Professional Development Day · October 27, 2026

Stop Rewriting the Same Status Five Ways

One source, every shape, and the judgment that stays human.

If you were in the session, here is everything I said I'd share. If you weren't, the short version is below, and the slides carry the rest.

Take it with you

  • Prompt kit (PDF, 2 pages): a project source template, ground rules, render prompts for each audience, the escalation check, and a pitch for your sponsor.
  • Slides (PDF): sources are linked on the slides and listed below.

Use the AI tool your organization approves, and only paste what your policy allows. Every step also works in a plain document with no AI at all.

Try it

One project. Pick who's asking.

This is the example project from the talk. The facts never change. Pick a reader and the same source renders into the shape they need. Then change one fact in the source and watch every view follow.

Same source. Nothing retyped.

The short version

  1. One project, five audiences, five rewrites. The exec wants the headline, finance the number, the client the milestones, the team the detail, the PMO the template. Every retype drifts a little from what you meant.
  2. AI made the rewriting free. We bolted it onto the old workflow, so the firehose now points up the org. Too many equal choices add cognitive load for the reader. Polished packages the sender doesn't understand add cognitive debt.
  3. Design for the decision, not the document. Be the filter: send up the decision you need, your recommendation, and what you already resolved. Keep everything else in the source, one ask away.
  4. Hold everything. Serve what's needed. Keep one source and render each audience's version from it. Give AI a process, not a pile: a source, a template, and rules it has to follow. You read it and sign it.
  5. You can't change the system. You don't have to. Keep filling the required template, from your source. Make the case for more in the KPIs leadership already tracks: hours saved, error rates, time from status to decision.

Ask. Answer. Prove.

Ask the right questions of the right people. Answer them well enough to decide. Prove it with acceptance criteria. AI can carry the volume. Understanding still means leaning in, and that judgment is the answer to cognitive debt.

Monday

  1. Count your rewrite tax. List every version you send, who gets it, and how long it takes. Versions times hours is your tax.
  2. Start one source. One project. The facts, kept current, in one place.
  3. Check before anything goes up. Is this theirs? What do I need? What do I recommend? What did I resolve? Where's the detail?

Go deeper

  • Work in Superposition: The longer argument behind this talk: work has no fixed shape and no single status until someone needs it.
  • The Knowledge Lock: Every organization runs a permissions system enforced by format. The PM sits at every border, translating.
  • AI as Translation Layer: One source, many audiences, many formats. The premise behind rendering instead of rewriting.
  • The Debt You Don't See: Cognitive debt: what happens when the package is cheap and the understanding isn't.
  • AI Overwhelm: When output gets this cheap, the signal-to-noise ratio collapses. The firehose, up close.
  • The Productivity Paradox Is Back: Why bolting AI onto the old workflow hasn't shown up in the numbers.

Sources

  1. Asana (2024). State of Work Innovation.
  2. Brynjolfsson, Li & Raymond (2023). Generative AI at Work. NBER w31161.
  3. BetterUp Labs & Stanford Social Media Lab (2025). The hidden cost of workslop.
  4. Niederhoffer et al. (2025). AI-Generated "Workslop" Is Destroying Productivity. HBR.
  5. Dell'Acqua et al. (2023). Navigating the Jagged Technological Frontier. HBS.
  6. Upwork Research Institute (2024). Employee workloads rising despite C-suite AI investment.
  7. METR (2025). Early-2025 AI and experienced open-source developer productivity.
  8. Wharton Human-AI Research & GBK Collective (2026). Fourth annual enterprise AI study, via WSJ.
  9. Gartner (2026). AI's Transformational Value Remains Elusive for Most Companies, via WSJ.
  10. Kosmyna et al. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt. MIT Media Lab.
  11. Cowan (2010). The Magical Mystery Four. Current Directions in Psychological Science.
  12. Vogel & Machizawa (2004). Neural activity predicts individual differences in visual working memory capacity. Nature 428.
  13. Miller (1956). The Magical Number Seven, Plus or Minus Two. Psychological Review.
  14. Shneiderman (1996). The Eyes Have It.

Questions or a story about your own status tax? bert@askthehuman.com. New essays by email: subscribe.