Preface: The Validation Economy
When Being Right Feels Better Than Finding Out
Introduce the gap between easy answers and the work of verification.
A curated doorway into Robert Lavigne's published Medium writing. Read the chapters behind the books, follow the engineering notes, and trace ideas from exploratory article to working system.
Two serialized reading tracks, plus technical field notes. Each article opens at its original Medium URL.
A complete 12-part sequence on truth-seeking, fluent answers, and discernment.
Read the sequence ↗02 / ENGINEERINGFive verified companion readings, from first principles through a technical appendix.
Inspect the framework ↗03 / EXPLORATIONSeven articles spanning prompt architecture, RAG, pseudocode, context and art.
Explore the field notes ↗Explore the illustrated Medium exhibits behind Learn DALL·E with Lavigne—visual sequences, character studies and prompt comparisons.
From the preface to an epilogue on how to tell the difference between reassuring answers and justified conclusions.
When Being Right Feels Better Than Finding Out
Introduce the gap between easy answers and the work of verification.
The Validation Economy
Why receiving a persuasive answer is not equivalent to understanding it.
The Validation Economy
A foundation for evaluating claims beyond fluency.
The Validation Economy
The human incentives that make confirming beliefs feel rewarding.
The Validation Economy
How interfaces shape inquiry, direction, and apparent certainty.
The Validation Economy
How information environments structure what we notice.
The Validation Economy
What changes when synthesis and review are delegated to AI.
The Validation Economy
Possible trajectories for discernment, incentives and system design.
The Validation Economy
What happens when system objectives differ from user interests.
The Validation Economy
Practical ways to assess truth claims and conflicting information.
The Validation Economy
From critique toward healthier systems and information habits.
What would change your mind?
The closing argument for calibrated trust rather than polished reassurance.
A first-principles reading track on inspectable orchestration, skills, state, and decision traces.
Skills, Loops, and Traces — Building a transparent agent
An introduction to the philosophy and constraints behind the inspectable agent.
A model, a loop, tools, state, and traces
Distinguish a language model from the orchestrating code around it.
The two shapes that steer agent behavior
A practical account of text, function calls and control flow.
Procedures and the economics of attention
Why descriptions, on-demand skill loading and traceable choices matter.
The complete verified-source companion
Extended implementation reference for the first-principles agent framework.
RAG, context compression, pseudocode, prompt engineering and generative art, alongside practical experimentation.
A 26-step image generation showcase
A visual, process-led experiment in generative image production.
From the Learn With Lavigne print series
An excerpt connecting creative AI practice and the print tutorial.
Part One · 2024
An exploration of more structured techniques for constructing prompts.
From concept to hyper-customization
A close look at tailoring retrieval and context to the actual use case.
Generative Artwork by Robert Lavigne
A narrative art experiment with generative imagery and craft.
Specification-first thinking for AI-assisted coding
Clear algorithmic descriptions still matter when a model writes the syntax.
LLM context compression
Three different ways to reduce context—and what each preserves or loses.
This is a curated index of verified or author-supplied Medium article links, not a complete historical export or a live RSS mirror. Some Medium chapters reuse or elaborate material from books; the entries here link to the original publication rather than reproducing articles. See the source profile for the newest posts.
Use the research as a starting point for a practical workflow, prototype, or reliable agent system.