Beyond the chat window
The capability impressed me immediately. Building trust took longer.
How AI became part of my daily work, and what changed when it could act.
Read the field note →Helping businesses navigate exponential change and exploring what it means for how we work, live, and build together.
I’m Jose Lopez. I work with AI every day, and I’m figuring out what this moment means for my family and the businesses I help.
20+ years in technology · Daily AI use since around 2022

The more I work with AI, the more I find myself thinking about what happens outside the technology itself. What will our children need to learn? I believe work is changing fundamentally, and we need to prepare now. In my own use of AI, I see capabilities that go well beyond the chatbot many people still picture. My concern is that people will have too little time to adapt if we wait until the consequences are obvious. What do we want this change to make possible, and how do we help people find their place in it?
I’m excited about what advances in science could mean for people’s health and everyday lives. I also think we need to talk honestly about what it takes to get there. A new data center might bring opportunity to a community while raising difficult questions about energy and water. Those questions deserve attention alongside the breakthroughs.
I’m working through this too. I’ll share what I’m seeing in my own work and where my thinking is changing. I’d like this to be a place for honest conversation about what comes next, including where we disagree.
A space for essays, commentary, and learning in public.
I see a remarkable opening for people who want to build. In my own work, AI lets me try ideas that once felt out of reach. I want to help others explore that possibility and prepare for changes in their working lives. You can start learning before you know what your next chapter will be.
Work gives many of us an income and a sense of identity. I believe that relationship is changing. The transition could be painful, but it could also give us more room for the people and pursuits we care about. Neither a secure livelihood nor a better use of our time will take care of itself.
I believe understanding AI and having access to it will matter increasingly to people’s independence. That’s why I care about education and open-source AI, including tools we can run privately. I’m sharing what I learn so others can make informed choices. I’m also asking what responsible participation requires of me.
The capability impressed me immediately. Building trust took longer.
How AI became part of my daily work, and what changed when it could act.
Read the field note →ON THE WRITING DESK · Proposed essays, not yet published
How we make a living matters. So does what we might do with more time of our own.
How communities weigh the promise of new infrastructure against its demands on energy and water.
What happens after the demo, when people need to use the tool in their actual work.
AI has been part of my daily workflow since around 2022. I’ve worked through the shift from conversational tools that help answer questions to agents that can carry out tasks. My perspective comes from using these tools, testing their limits, and learning where they need human judgment.
My toolkit includes Cursor, Claude Code, Codex, Grok Bot, and Hermes Agent, alongside different models and workflows. I keep experimenting as capabilities change, with attention to what is useful in practice.
Here, I’ll share how I approach local and cloud AI, what goes into my own setup, and lessons from helping businesses deploy local AI. That includes the adoption challenges, assumptions, and surprises that only become visible when people start using it.
The useful questions often arrive after a tool is deployed. Does it fit the way people work? Can they trust it enough to use it, and recognize when they shouldn’t? I’ll share lessons from practice here, with customer information kept private.
Questions from practice. Detailed field notes are still to come.
I start with the information the system will handle and who needs access to it. Then I look at the capabilities required and what the business can realistically maintain.
What needs to stay under our control? What would we depend on a provider for? Who will keep the system running? A local setup still needs security and upkeep. A cloud service still needs clear boundaries around data.
I want to understand where the tool fits into someone’s day. If it creates extra steps or people don’t understand when to trust it, the technical implementation isn’t the whole answer.
Can someone try it on a familiar task? Do they know how to check the result and where to get help? What do we learn from the people who choose not to use it?
Before making a change, I want a clear picture of how the work gets done today. That gives us something to compare against once the tool is in use.
Are we saving time after review and corrections? Is the result better for the person who needs it? We should be willing to adjust or stop when the evidence doesn’t support continuing.
You might be evaluating a tool or wondering where to start. Through L4 Consulting, I help you work through the decision and what it would take to put it into practice. We start with the work your team needs to do.
See how L4 can help ↗