About me
Who is Chris Landtiser
and why is he in AI?
From the start of my career as a freelance web developer I've loved delivering holistic projects that have serious impact. While my tools have transitioned from Photoshop and Javascript to Copilot and Claude Code, that love of curating the best tools and processes for maximum impact hasn't changed.
My Values
I believe that GenAI is still ages away from HAL9000 and Jane, but it is still already having huge impacts right now. Understanding what AI is (and isn't) is crucial for both professionals and in our personal daily lives! It's just as important to me being able to explain AI technology to a company executive as my own boys as they grow and learn about the changing world around them.
- 1
Start with Problems, Not Solutions
Too many AI projects start with 'let's use AI!'' I start with 'what's actually broken?'' Sometimes AI is the answer. Sometimes it's a better spreadsheet. Both are valid.
- 2
Test, Learn, Scale
Small pilots with clear success metrics. If it works, we expand. If it doesn't, we learned something valuable. No massive rollouts based on promises.
- 3
Human-Centric Design
AI should reduce friction, not create it. Every implementation considers the person using it - their workflow, their concerns, their actual needs.
My AI Roadmap
I see a future where AI is as unremarkable as spreadsheets - powerful, useful, and completely integrated into work. Not because it's revolutionary, but because it's practical. AI represents an opportunity to reinvest the time and energy of rote tasks into wherever you value most: learning, solving more satisfying puzzles, or just good old work/life balance!
Quality Over Quantity
AI should enable users to curate and refine processes and knowledge, freeing them from rote work. The goal isn't to multiply sheer productivity - it's to create space for better thinking and meaningful contributions.
Augment, Never Replace
AI excels at digesting complex data and finding patterns humans might miss. But the final call? That's always human. AI provides insights; people make decisions based on context, ethics, and judgment no algorithm can match.
Tools for Everyone
AI shouldn't live within the IT department or at executive discretion. When we put innovation tools directly in teams' hands, they solve real problems we never even knew existed. Democratized AI means better results for everyone.