ThinkMariale

Being a founder, CEO, and CTO is like an endless race through a jungle. It's a dynamic journey, full of both beautiful sceneries and dangerous pathways. 🌿🏞️

46% of companies authenticate AI agents with shared API keys. The kind that doesn't rotate. For autonomous systems. Microsoft just open-sourced the fix. The demo phase is over.

70% of errors in production LLM applications aren't model failures. They're context failures. Stale documents. Broken entity relationships. Ungoverned data. The bottleneck shifted.

World Cup Campaign is Live Everyone can participate and compete for $MON rewards. Learn more below👇

@gensynai The creator economy is $500B. Creator ownership of the economics? That part is being built right now.

@gensynai 44% of creators use AI tools weekly. Up from 19% a year ago. The tools phase is done. Content creation, repurposing, optimization: largely solved. Now watch who builds the economic layer underneath.

Two creator economy platforms launched earlier this month. Neither is about creating content. Both are about who controls the economics.

@Jason I’m in

We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added

@coreyganim #3 is spot on what @KINETK_AI is building

My predictions for AI in 2026: 1. Second brain as a service becomes hugely profitable. Companies will pay to build internal knowledge bases trained on their data. 2. Owned audiences (email, SMS, direct mail, SEO rankings) become 100x more valuable as AI spam explodes. 3. Building audience on social → converting to owned channels is the most valuable marketing skill you can learn in 2026. 4. AI content will hit 8/10 quality on basic input. Only 10/10 stands out. Taste and context are your moat. 5. Relationships become even more valuable, especially with people who have large owned audiences. Borrow their trust. 10x overnight. 6. Companies hire employees whose entire job is staying on top of AI trends to help CEOs pivot daily. Eventually these become AI agents. 7. Most powerful AI models reserved for big corporations and governments. Average users never get access. 8. Cost of AI inference scaling rapidly. My system went from $20/month to $500-1K/month in 6 months. Will 10X next year. 9. Niche communities become massive business ecosystems. 80% fail. 20% become multi-unit powerhouses. 10. Proprietary data is the single most valuable moat: customer contact data, search trends, pain points. License it. Sell it. Build competitive advantage. 11. OpenAI building accessible agent layer. When it ships, agentic era begins for everyday people. 12. Claude Code continues to be the highest-leverage skill, period. 13. AGI is closer than we think (if not already here). ASI will be 1000x more earth-shattering then even the most bullish expectations.

The founders coming up in LATAM don't have to leave to build anymore. That changes who gets to build. Which changes what gets built.

I left to build. The peer networks, the funding density, the technical infrastructure. The founders coming up now don't have to make that same move. That changes who gets to build. Which changes what gets built.

Mexico is building the most powerful supercomputer in Latin America, focused on AI. The region isn't adopting tools designed for other markets. It's building for its own problems.

To all those building in LATAM -> the numbers back it up. One in five Colombian founders is a woman. 40% of C-suite roles in the ecosystem held by women. O-Lab just won TecPrize 2026 with a skills-based engine built for LATAM learners. Not adapted from elsewhere. Built for it.

Gm! So what are you building this week?

A prototype that only works when you're running it isn't a prototype. It's a demo. The difference matters more than most teams realize.

Checkout my latest post for a deeper dive: open.substack.com/pub/thinkmaria…

68% of enterprise AI apps use vector databases. Almost none have a plan for when their semantic index goes stale. Embedding drift is the quiet infrastructure problem in the AI stack.

AI agents for the creator economy will fail without a structured social intelligence layer underneath them.

The bottleneck for AI agents in brand, enterprise, and social intelligence isn't the agent. It's the structured data layer underneath it.