Por qué hemos tardado dos años en volver a hablar de inteligencia artificial

¿Cuántas veces has abierto ChatGPT esta semana? ¿Y la semana pasada? Si eres como la mayoría de profesionales con los que trabajamos, la respuesta probablemente sea «muchas». La inteligencia artificial ya no es algo que está por llegar. Está aquí, en tu día a día, ayudándote a redactar correos, resumir documentos o pensar en voz alta sobre un problema complejo.

Y sin embargo, nosotros hemos estado callados.

Bueno, casi callados. En 2023 publicamos el episodio 259 Prepárate para la llegada de la inteligencia artificial. Compartimos nuestras primeras impresiones, exploramos posibilidades, hablamos de lo que veíamos venir. Y desde entonces… silencio. Nada más sobre el tema en casi dos años.

No ha sido por falta de interés. Ni porque no estemos usando IA a diario. De hecho, en nuestras sesiones de coaching ayudamos constantemente a nuestros clientes a integrar estas herramientas en sus sistemas de trabajo. Lo hacemos cada semana.

Entonces, ¿por qué el silencio?

El problema de lo efímero

Porque teníamos miedo de escribir algo que dejara de ser útil en tres meses.

La tecnología avanza a un ritmo que da vértigo. Lo que hoy es una funcionalidad revolucionaria, mañana es estándar. Lo que hoy requiere un tutorial detallado, dentro de seis meses ni siquiera existe porque la interfaz ha cambiado por completo.

Y nosotros no queríamos contribuir al ruido.

No queríamos crear contenido que te hiciera invertir tu tiempo en aprender algo que pronto quedaría obsoleto. Esto nos preocupa especialmente con productos de pago, donde la sensación de haber comprado algo que ya no sirve es frustrante. Pero también con contenido gratuito, porque tu tiempo no es gratuito. Cuando dedicas media hora a leer o escuchar algo nuestro, estás haciendo una inversión. Y queremos que esa inversión tenga el mejor retorno posible.

Así que nos pusimos a trabajar en silencio.

Lo que hemos descubierto

Durante estos casi dos años, hemos estado buscando el enfoque que los anglosajones llaman evergreen. Contenido perenne. Ideas y principios que mantengan su valor independientemente de si usas ChatGPT, Claude, Gemini o la herramienta que venga después.

Hemos observado qué funciona y qué no en las sesiones con nuestros clientes. Hemos visto patrones. Hemos identificado los errores comunes, las resistencias naturales, los momentos de iluminación. Y sobre todo, hemos entendido qué hace que la IA sea realmente útil para tu efectividad personal, más allá del asombro inicial.

Creemos que hemos encontrado ese enfoque.

No se trata de enseñarte a usar una herramienta específica. Se trata de ayudarte a pensar sobre la IA de una manera que seguirá siendo válida dentro de dos, cinco o diez años. Se trata de principios, no de tutoriales. De estrategia, no de tácticas que caducan.

Muy pronto vas a ver cómo se refleja todo esto en el contenido que compartiremos. Y cuando lo veas, esperamos que sientas que tu tiempo está bien invertido.

¿Qué esperas tú de la IA en tu trabajo? ¿Buscas trucos rápidos o quieres entender cómo integrarla de verdad en tu manera de trabajar?

Remember when ChatGPT first appeared and you thought everything would change overnight?

Three years later, most knowledge workers still just use it for spell checking and fancier Google searches.

The tools are ready. The breakthrough isn’t.

When do you think it actually tips?

You know that moment when you think, “I’ll just send a quick voice message, that’ll be faster”?

Yeah, that never works out for me.

I start recording. Stumble over my words. Delete. Try again. Forget what I wanted to say halfway through. Delete again. Third attempt, I finally get it right, but now I’ve rambled for two minutes about something that needed three sentences.

Meanwhile, typing the same message? Done in 30 seconds. Straight to the point. No awkward pauses, no “uhm” sounds, no deleting and starting over.

I’ve timed it. Typing is literally four times faster for me than recording a voice message. Plus, when I type, I stay focused. When I record, I somehow turn into a podcast host who forgot their script.

Don’t get me wrong, voice messages have their place. Sometimes you need that context, that tone, that human touch. But for quick updates? Give me a keyboard any day.

Do you have the same problem, or am I the only one who needs three takes to say “running 10 minutes late”?

Currently reading: Sell Like Crazy by Sabri Suby 📚

I’m not expecting much, most marketing books are pretty shallow and mostly written to sell the author’s services. But someone recommended this one to me, so I’ll at least skim through it.

My writing style has always been ‘robotic’, but now they accuse me of AI slop.

How Tana's voice chat changed the way I work through ideas

“So what I’m hearing is that you’re trying to balance structure with flexibility. Is that right?”

I pause. That’s exactly what I’ve been circling around for the last two minutes without quite landing on it. “Yes,” I say. “That’s it.”

I’m not talking to a person. I’m talking to Tana’s voice chat, and it just did something I didn’t expect: it helped me think.

Last September, I wrote about how voice interfaces were improving my productivity. The combination of good transcription and AI cleanup meant I could finally get my rambling thoughts out of my head and into usable text. That was a game changer.

But this is different.

The difference is the conversation

With voice transcription, I’m essentially dictating into the void. I talk, the AI cleans it up, and I get a polished version of whatever I managed to articulate. It’s useful, but it’s still one-way.

Tana’s voice chat is interactive. It listens, yes, but then it responds. It asks questions. It reflects back what it’s hearing. It offers feedback. And that changes everything.

When you’re just talking into a recorder, you’re limited by your own ability to structure your thoughts in real time. You can only develop ideas as far as your internal dialogue can take you. But when something asks you clarifying questions or points out connections you hadn’t noticed, you think differently. You go deeper, faster.

I’ve been surprised by how much this helps. I’ll start with a vague idea, and through the back-and-forth, it becomes something clearer and more developed than I would have reached on my own. It’s like having a thinking partner who’s infinitely patient and never gets tired of asking “Can you say more about that?”

What actually makes it useful

Three things stand out.

First, the questions it asks are genuinely thoughtful. They’re not generic prompts. They’re based on what I’ve just said, and they push me to clarify or expand in ways that feel natural.

You can also fine-tune how the voice chat behaves by adding custom prompts and instructions for each supertag in Tana. This means the assistant can adapt to different types of thinking sessions, whether you’re brainstorming, planning a project, or working through a problem.

Second, the summary at the end. After the conversation, I get a concise overview of what we discussed. This is surprisingly valuable. It’s one thing to have a conversation; it’s another to see the key points distilled afterward. It helps me understand what I actually figured out.

Third, the visual outputs. I can quickly generate flowcharts or sketches based on our discussion. This isn’t just a nice-to-have. Seeing ideas in visual form often reveals gaps or connections that weren’t obvious when they were just words.

What this means for how I work

I’ve used plenty of AI tools. Most of them are about output: write this email, summarize this document, generate this image. They’re useful, but they’re transactional.

This feels different. It’s not about getting something done; it’s about thinking better. The tool isn’t replacing my thinking; it’s scaffolding it. It’s giving me a structure to develop ideas I couldn’t have developed as well on my own.

I’m sure I’ll be using this more often. Not for everything, but for the moments when I need to work through something complex or when I’m stuck and need a different angle.

If you’ve ever wished you had someone to talk through an idea with, but didn’t want to bother an actual person at 11 PM on a Tuesday, this might be worth trying.

What’s your experience with AI thinking partners? Have you found something that helps you think, not just produce?

A mobile screen displays an app interface with a summary of professional tasks and a small visual representation of a business plan below.

Finished reading: Click by Jake Knapp 📚

How do you know if what you’re building is actually what people want? Most teams skip this question and jump straight into execution.

“Click” by Jake Knapp and John Zeratsky (the prequel to Sprint) offers a practical answer: the Foundation Sprint, a two-day process to develop your product hypothesis before you build anything. It focuses on understanding customer needs, leveraging your team’s strengths, and differentiating from competitors.

I’m planning to use some of their tools when we define our next product. Not following the method 100%, but cherry-picking what makes sense for us.

Have you read it? What’s your approach to validating ideas before building?