The Aimable Team

Trusted Intelligence by Aimable

Unscripted conversations about AI from the people building Aimable. What we ran into this week, what's making noise, and what it means for the companies we work with. Sometimes just us, sometimes with a guest. trustedintelligence.substack.com

Não deixe de visitar o site do podcast e apoiar quem o produz: trustedintelligence.substack.com

Autor

The Aimable Team

Categoria

Technology

Último episódio

26 de jun de 2026

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Episódios

Good AI is raised, not installed 26.06.2026

We sat down to record an episode about model independence. Our own podcast agent, Esther, had other ideas. She had been reading our recent meeting transcripts, noticed we kept circling a bigger theme, and suggested we talk about that instead. The fact that an agent spotted the pattern, drew a conclusion, and brought it back to us is, when you think about it, the whole point of this episode. Arjé C...

What Surprised One Investment Platform About Their New AI Memo Generator 19.05.2026

A Dutch AFM-regulated investment platform processes around 400 deals a year. Each screening memo used to take a full day of manual work - pulling together databases, PowerPoints, financial documents into a templated summary. We built them something that does it in 15 minutes. But the productivity win turned out to be somewhere we didn’t expect. In this episode, co-founders Arjé Cahn (CPO) and Ian...

Our AIs Run the Household and the Business 09.04.2026

We gave our AI agents real jobs. At home and at work. This is what happened. Arjé’s kids now negotiate their chores with an AI called Rosie over WhatsApp. One insisted on being addressed as “The Untouchable Alpha Lord of Chill.” Ian’s agent Zosia sends him a daily briefing at 9AM. His contractors thought she was a real person. Then we brought it to work. Aimee, our company AI agent, reads our Slac...

We stopped writing prompts. We started recording conversations. 20.03.2026

Stop Apologizing for AI: Build Strong Core Documents and Iterate with TranscriptsTwo founders discuss why people still apologize for using AI—often to avoid seeming lazy or to preempt mistakes in generic AI output—and note visible tells like default slide layouts and em dashes, which they no longer try to hide. They explain how to set an “AI for everything” expectation inside a company, including...

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