A weekly AI roundup template for busy professionals
A reusable Friday roundup structure for turning daily AI news into decisions, experiments, and next-week priorities.
Updated 2026-06-06
A weekly AI roundup should not be a pile of links. It should help a professional decide what changed, what matters, and what to do next week.
Use five sections
A practical roundup has five sections: what changed, why it matters for your role, what to ignore for now, one experiment to run, and one source list for deeper reading.
This structure keeps the roundup useful even when the week is noisy.
Separate facts from interpretation
Facts should link back to sources. Interpretation should explain the role-specific implication. Do not blend the two so tightly that readers cannot tell what is confirmed and what is your analysis.
This distinction builds trust and makes the roundup easier to act on.
End with one next action
The final section should give one practical next action: test a prompt, review a vendor, update a workflow, brief a team, or ask a sharper question.
A roundup that ends in action is more useful than one that ends in information overload.
Archive the lesson
Keep the best item, prompt, and decision from each week in a simple archive. Over time, the archive becomes a practical role-specific AI playbook.
The archive should grow from real briefings and decisions, not fabricated backfill.
Key takeaways
- A roundup should turn news into decisions.
- Keep facts and interpretation visibly separate.
- End each roundup with one practical next action.
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