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A research digest that writes its own first draft

A content operator was spending hours each week reading and summarising sources for a recurring digest. We automated the read-and-summarise so the work starts from a draft.

Engagement
Newsletter operator
Sector
Media · content
Region
United States
Year
2025
A research digest that writes its own first draft - editorial illustration
How the system runs
Input
  • Content sources
ArrAI
Read & summarise pipeline
Output
  • Structured first draft
  • On a schedule

/ The numbers

Hours
of reading, automated away
First draft
ready every cycle
On schedule
without manual chasing

01 The problem

Producing a regular digest meant manually working through a stack of sources every cycle: reading, picking what mattered, and summarising it.

It was hours of repetitive work before any real editing or judgement could happen.

02 The approach

We built a pipeline that gathers the sources, reads them, and produces a structured first-draft digest automatically.

The operator's judgement still decides what ships. The machine just removes the hours of reading and summarising that came before it.

03 What we built

  • Automated source gathering, every cycle
  • AI summarisation into a consistent digest format
  • A structured draft, ready for human editing
  • A repeatable schedule, so the draft is waiting when it is needed

04 The outcome

  • The digest starts from a draft, not a blank page
  • Hours of weekly reading and summarising disappear
  • The operator spends their time on judgement, not collection

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