Field Notes
Observations From Building AI in Public
Artificial intelligence is evolving rapidly.
Some lessons deserve formal research.
Others are too valuable to wait.
Field Notes captures the observations, experiments, questions, and discoveries that emerge while building AI products, working with users, and studying how AI changes work.
Rather than polished conclusions, these are ideas in motion.
They document what we’re learning as it happens.
Our Philosophy
Thinking in Public
We believe learning compounds when it is shared.
Field Notes exists to capture practical observations before they become formal research papers or products.
Some ideas will evolve.
Some will be disproven.
Others will become the foundation for future research and software.
That process is exactly what makes innovation possible.
What You’ll Find
Product Observations Lessons learned while building AI-powered software.
Research Ideas Questions that deserve deeper investigation.
Experiments Small experiments exploring how AI changes behavior, productivity, and decision-making.
Career Intelligence Observations from studying professional visibility and AI-driven career development.
Enterprise AI Practical lessons from implementing AI inside organizations.
Current Themes
AI & Careers How professionals create visibility in an AI-first economy.
AI & Organizations How businesses adopt AI successfully.
Human + AI Collaboration Understanding how people and AI work together most effectively.
Product Development Lessons from designing and shipping AI products.
Builder Economy How founders and creators use AI to create leverage.
Latest Field Notes
Why AI Makes Proof More Valuable Than Resumes
Coming Soon
The Career Signal Gap
Coming Soon
What Three Sprint Cohorts Taught Us About Networking
Coming Soon
Why Most AI Products Don’t Change Behavior
Coming Soon
Building RankedIn in Public
Coming Soon
Claude Connectors and the Next Distribution Channel
Coming Soon
AI Doesn’t Replace Networking, It Changes It
Coming Soon
The Rise of Career Intelligence
Coming Soon
How Field Notes Become Research
Every Field Note begins as an observation.
Some observations become experiments.
Some experiments become research.
Some research becomes products.
Observe
↓
Write
↓
Experiment
↓
Research
↓
Product
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New ObservationThis continuous cycle allows AttainMaX Labs to learn quickly while building practical AI solutions.
Why We Publish
Ideas improve when they’re challenged.
By publishing our observations early, we invite discussion, learn from others, and accelerate our understanding of how AI is transforming work.
Field Notes is not about having all the answers.
It’s about documenting the journey toward better ones.
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