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Personal project, automation and generative AI

AI Daily Briefing

A personal automated clipping project that turns AI and programming news into an audio briefing with a transcript and links to the sources.

Problem, decision, and evidence

Problem

Following many sources every day took time and made curation inconsistent.

Role and decision

I designed and integrated the pipeline. The key decision was to keep the transcript and sources alongside the audio so the briefing could be checked.

Available evidence

A first version is published with audio, text, and sources. The four-hour figure measures the construction of that initial version, not ongoing operations or business results.

Product: a published edition with its player, summary, and access to the briefing content.
Product: the transcript and origin links used to check the items included in the curation.

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Scope of work

Role

Product, automation, and integration architecture

Audience

Professionals and teams monitoring AI, technology, or markets

Methods & technology

n8n, OpenAI API, ElevenLabs, and AWS

Outcome

Scattered news becomes a browsable audio briefing with a transcript and sources

Context

A personal project created to test an intelligence and clipping workflow that reduced the manual work of following AI and programming news.

Business problem

Publishing volume is high and fragmented. Even with feeds and newsletters, selecting items, organizing context, and turning reading into a useful routine takes time.

Audience & personas

  • Professionals monitoring AI and technology
  • People who prefer listening to a summary and checking the text later
  • Teams assessing internal clipping or intelligence routines

Adoption barriers

  • Too many sources and fragmented information
  • Limited time for daily curation
  • Need to check the origin of each item

Solution design

  • Automated trigger in n8n
  • News collection and organization
  • Script generation via OpenAI API
  • Narration via ElevenLabs
  • AWS publication with audio, transcript, and sources

Scope and deliverables

  • Automation pipeline in n8n
  • Briefing script template
  • Publication page with audio, transcript, and sources
  • First working version built in under four hours

Evidence and signals

  • First version published for direct inspection of the format
  • Audio accompanied by a transcript and source links
  • No public evidence of continuous daily operation, audience, or commercial impact

Lessons learned

For clipping to be useful, the synthesis needs to remain connected to its sources and allow human review.

Next improvements

Add editorial validation, deduplication, failure alerts, topic personalization, and distribution through RSS or podcast platforms.

View implementation details
  • n8n triggers the workflow, organizes news, sends the material for script generation, starts narration, and publishes the files to AWS.
  • The first working version was assembled in under four hours. That figure records prototyping speed, not operational maturity.
  • The visible controls today are the transcript and source links. Editorial validation, deduplication, and failure alerts remain next steps.

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Clipping and intelligence

Want to test a briefing for a business topic?

I can adapt the prototype's logic to a market, competitor, or technology focus and define the necessary controls before operation.

Discuss the briefing