ILC example on Prompt Engineering

Last week OpenAI announced “Improvements to data analysis in ChatGPT” where they are exploiting data stored in competitors silos. These silos has potential value, and they are exploited in some ways by individuals. Education of users in a “different way of doing things” continues. And again, OpenAI wants to be between User and other competitors: … Read more

Your new car is 100% yours

10 years ago, you purchased a car and 100% of the car was yours. This is not true anymore. You do not own the software of your car, you only have the usufruct. Is the car owner aware of this? Platform “enshitification” has consequences on digital platforms, but will extend to physical world when software … Read more

The Arc Product-Market Fit Framework

This framework created by Sequoia is described here. The article is very interesting, I suggest you to read it if this is an interesting topic to you (because you work in Venture Capital or if you are trying to seeking financing). Finding product-market fit is key for every early-stage startup. Sequoia walks founders through this … Read more

Platform “enshitification”

During these days there is one campaign where Twitter has suspended accounts in a massive and targeted manner for Spanish accounts with certain patterns: more than 10.000 followers, daily updates about a niche, and they are not blue or premium. The advertising business model is very crowded and the platforms have to make a living … Read more

Choices on Generative AI solutions

This map is very difficult to understand if you did not attend the conversation. The focus during the conversation was the Vector Database and all around the needs to build it and make the performance to be the right one. Then we were discussing about why we are not using another approach for the final … Read more


ASHEN is a framework used in the context of knowledge mapping within organizations. Developed by Dave Snowden, it aims to shift organizational thinking from key-person dependency to knowledge dependency. Let’s explore its key elements:

Technical Debt Analysis

This is a set of conversations I had with Dave and Andrey about Technical debt, where we have been trying to explore the use of Estuarine Mapping. Session 1, starting the exercise We have defined some assumptions: We have started with a list of classic technical debt reasons, but after reviewing it, we have defined … Read more

Technical due diligences

Due diligences have different layers of work: financial, market value, people engaged in the company, etc. Technical side of the due diligences have evolved a lot and now there are many recipes but some consensus about what you should cover as minimum. The technical side of a due diligence is basically a health check of … Read more

DevOps: bottleneck analysis

Constraints evolve in a predictable way In the process of building software development there are many bottlenecks you can find. They are present and they disappear as we evolve and they work in a very similar way as the Theory of Constraints defines. The main bottlenecks you can find in software development are: In case … Read more

Process Mining at Celonis

While watching this event from Data Driven NYC called “Bootstrapping a Decacorn on $15k with Celonis CEO Alex Rinke“. I have been taking some notes and ended reading “Process Mining for Dummies” book. Basic actions on processes Celonis divides between: Engagement types: Mining Tools During the video Alex Rinke comment some important aspects about the … Read more