Doudoubcn

Frenchy, executive and entrepreneur. Barcelona !

[Xavi Vinaixa @xaviviro]

Inspirats per la iniciativa del MCP Server del govern francès per consultar dades obertes, des d’opendata punt cat acabem de crear:

Opendata.cat-MCP-Server per consultar totes les dades obertes dels organismes de #Catalunya

Fil!

https://t.co/z60LASaj7W

[Doudoubcn @doudoubcn]

Looking forward to assist !

[Notion @NotionHQ]

@brian_lovin Excited for this! 🙌

[Notion @NotionHQ]

@brian_lovin Excited for this! 🙌

[The New Yorker @NewYorker]

An M.I.T. study found that 95% of companies that had invested in A.I. tools were seeing zero return. It jibes with the emerging idea that generative A.I., “in its current incarnation, simply isn’t all it’s been cracked up to be,” @JohnCassidy writes. https://t.co/cu65B6VaF8

[Doudoubcn @doudoubcn]

@Arpit_coder0 @Marcilenyaraa Send

[Nozz @NoahEpstein_]

Everyone's losing their minds over OpenAI's Agent Builder.

I spent the last 24 hours testing it and analyzing community reactions.

Here's what nobody's saying about the $4B "democratization" play that's actually just vendor lock-in with a canvas:

The hype: "Agent Builder democratizes AI! No-code revolution! Zapier killer!"

The reality: It's a drag-and-drop builder for developers that's locked to GPT-only models.

That's not democratization. That's an ecosystem play.

I tested it against n8n, Make, and Flowise.

Complexity level: Same (if not slightly higher)
Integration flexibility: Worse (thin node sets)
Model options: One (GPT only)
Migration benefit: Zero

The GPT-only lock is the real killer.

I use Claude for complex analysis. Gemini for specific tasks. GPT for... honestly, the braindead simple stuff.

Being forced into one model is like telling a carpenter they can only use hammers.

Community reactions are split exactly how you'd expect:

Positive takes:
→ "Built a buyer agent in hours, 70% iteration reduction!" (Ramp)
→ "Game-changer for prototyping" (@piotrmacai)
→ "Seamless OpenAI integration" (obviously)

Reality checks:
→ "UI too complicated, features basic" (@wyndomb)
→ "Not autonomous, just rigid scripts" (@Vivek_5151)
→ "No migration incentive" (me + many others)

The pattern I'm seeing: Great for prototyping IF you're already deep in OpenAI's ecosystem.

Not great for: Production systems, multi-model workflows, anyone using n8n/Make successfully.

Here's what the docs won't tell you:

✓ Fast prototyping (true)
✓ Good for demos (true)
✓ Enterprise features (true)

✗ Vendor lock-in risk (ignored)
✗ Limited node library vs competitors (ignored)
✗ Still requires technical knowledge (ignored)
✗ Not actually "no-code" for non-technical users (ignored)

The "democratization" claim falls apart under scrutiny.

Community feedback shows it's "too technical for teams" and "missing features for production-scale."

It's low-code for developers, not no-code for everyone.

Real talk: If your workflows already work in n8n or Make, save yourself the migration headache.

The math doesn't add up:
→ Rebuild all integrations
→ Learn new platform
→ Lock into single model
→ Hope features catch up

For what benefit? "OpenAI native" that you can already get via API calls?

Where Agent Builder actually makes sense:

1. You're already 100% in OpenAI ecosystem
2. You need fast prototyping for demos
3. You're building customer service bots (their sweet spot)
4. You don't care about model flexibility

Everyone else? This is a solution looking for a problem.

The controversial truth: Agent Builder validates visual agent building as a category, but it's not the revolution they're selling.

It's an incremental improvement for a narrow use case wrapped in "democratization" marketing.

The winners: OpenAI (ecosystem lock-in), enterprises already using their stack

The losers: n8n/Make users expecting a reason to switch, anyone needing multi-model flexibility

My take: Good prototyping tool. Not worth migrating for. Overhyped by 3-5x.

The real opportunity isn't in the tool itself.

It's in the $400M-$4B consulting market that opens up when everyone realizes prototyping ≠ production deployment.

Stay where you are. Let others debug the hype cycle.

Your existing automations work. Your team knows the platform. Your models are flexible.

"OpenAI native" isn't a feature when you can call their API from anywhere.

Agree? Disagree? Drop your take below.

I'm curious if anyone found a compelling reason to migrate that I'm missing.

[Doudoubcn @doudoubcn]

@Marcilenyaraa n8n

[Doudoubcn @doudoubcn]

@rryssf agents

[Doudoubcn @doudoubcn]

@Hesamation Thanks for the share. @RemindMe_OfThis on Nov. 9.

[Doudoubcn @doudoubcn]

And use @Superhuman !!

[Harvard Business Review @HarvardBiz]

Five ways we waste time on email—and how to get it back. https://t.co/mVKxpgbHwi

[Doudoubcn @doudoubcn]

@NoahEpstein_ MCP

[Doudoubcn @doudoubcn]

Descubre cómo Sensual Opulence, nuestro Aceite de Hidratación Profunda, ... https://t.co/xIxO2YVsEC via @YouTube

[EDITORS.CAT @editorscat]

Som a la roda de premsa del Dia del Llibre i de la Rosa a l’Ateneu Barcelonès organitzada per la Cambra del Llibre de Catalunya

[Gremi d'Editors de Catalunya @gremieditors]

📚🌹 Tot a punt per un Sant Jordi amb més llibres i roses!
Som a la roda de premsa del Dia del Llibre i de la Rosa a l’@ateneubcn organitzada per la Cambra del Llibre de Catalunya

[Antoni Gelonch @Antoni_Gelonch]

#Taldiacomavui, el 1693, nasqué a Foulby, John Harrison. Fou un rellotger anglès, famós x haver dissenyat i posat en funcionament el 1er cronòmetre marí d'alta precisió, amb el qual feu possible determinar la longitud amb exactitud, després d'haver recorregut llargues distàncies

[Gauthier Baudin @GauthierBaudin]

Sans doute la plus belle mise en scène du Haka que l’on ait jamais vu. Le Stade de France a fait très fort. C’était magnifique.

[Polònia @polonia3Cat]

Ens hi podríem estar tot el dia, enumerant coses… 🙄

#Polònia3Cat

[Libération @libe]

Inondations en Espagne : les morts évitables. C'est la une de @Libe ce week-end.

Après les crues qui ont tué plus de 200 personnes et emporté des dizaines d’autres dans la région de Valence, les autorités sont pointées du doigt pour leur manque d’anticipation.