Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Is Lex Friedman OK with using it’s content?
Spamming on Linkedin. Is anyone interested in bot posts on Social Media?-----------------------------------------------------------------------------------
Enrique Marq this was so well done, and easy to follow, appreciate you sharing!
Impressive level of automation, but the real question is elsewhere: where does human value sit in the loop? If everything becomes generation + distribution, differentiation won’t be production anymore but framing, ideas, and editorial intent. That’s where the human layer becomes critical again.
The "Voice DNA skill" is what makes this genuinely interesting, most social media automation tools produce generic content that sounds like a bot. Teaching the agent to match a specific writing style changes everything. What's your approach for the CLAUDE.md on this ? With 17 skills, I imagine the system prompt architecture is the real complexity here, how do you handle context window management across that many specialized agents? Building something similar on the agent instruction side, always curious how others structure their Claude Code setups.
Interesting, indeed.
Best stewards I've seen never had the title, they just gave a damn about getting it right.
Very nice Enrique Marq I will check the video
totally, most stewards i meet don't have it in the title
Maarten totally right. The worst scenario is when everyone is doing it but inefficiently, or nobody is doing it and chaos reigns. In both cases, the results end up hidden all over the balance sheet don't they?
John Wernfeldt, they need to be appreciated more!
Reeves Smith What title did they generally have?
It part of the job description in one of my previous role as digital analyst. Would you consider data governance as part of data steward mandate?
Maarten Masschelein agreed this hits where most teams fail. Data stewardship isn’t a title, it’s discipline. Clean pipelines mean nothing if people don’t trust the data. The real test: can someone use your data without asking you? If not, it’s not a tech gap, it’s an ownership gap. Get this right, and AI delivers. Get it wrong, and you just scale confusion.
These are great points. "Data Steward" can be a confusing and intimidating title, but as you say, many people without the title are doing the job. The key is less about appointing data stewards than about identifying who is acting in that capacity.
Marcia Marinho Rayssa Santos Simone Gomes Padilha
The teams that get this right have people who care about downstream impact without being asked to.
Exactly 👏
Data Driven and AI First! 😂
John Wernfeldt nope, it just somehow makes its way for them to own it.