Inspired Outcomes.
Inspired Outcomes.
Inspired Outcomes.
Inspired Outcomes.
Several weeks back, I got to continue a conversation with Eric Evans – one that we started at DDDEU 2025 in Antwerp. Disclaimer: Eric Evans kindly engaged in this conversation, but has no affiliation with Envivo and offers no endorsement – expressed or implied – of our approach or technology. If you follow Eric’s more […]
Using LLMs for Domain Exploration Read More »
I was standing at the front of a meeting room, laptop plugged into the presentation screen, walking a group through a prototype built with our prototyping framework. 👨💼 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿: “Before we dive in… just to confirm, this is 𝘢𝘧𝘵𝘦𝘳 you’ve gathered all the use cases, written the specs, handed them to the team, and
Interactive Application Prototypes – Without Designing The UI? Read More »
This is part 2 of a short series chronicling the design process for an F1 Race Simulation System using AI, with the goal of creating a rapid interactive prototype. In the last post, we explored the following capabilities: In this post, we will extend the model to include: The original ChatGPT session may be found
Designing a F1 Strategy Simulator using AI – Part 2 Read More »
This is part 1 of a short series chronicling the design process for an F1 Race Simulation System using AI, with the goal of creating a rapid interactive prototype. Typically we employ a very interactive design process, with a minimum of these participants: However, for this experiment we don’t have access to an SME –
Designing a F1 Strategy Simulator using AI – Part 1 Read More »
Over the past weeks, my focus has shifted from Innovation to something more pressing: keeping the “human in the loop“. This thought resonated throughout several conversations I’ve had this week, where a key concern emerged: How do we retain critical business domain knowledge in an AI-driven world? The Knowledge Drain Problem One of the most
AI, Usability, and the necessity of Subject Matter Experts Read More »