LEARN · PRACTICE · THINK TOGETHER
I'm Klyff Harlley. I write, research, and build at the intersection of AI, engineering, and human judgment.
I share what I learn, the questions I’m living with,
and the ideas taking shape along the way.
02 / THE BOOK
My sixth book, The High Leverage Engineer, is ready and free for people who want to turn AI-assisted engineering into work they can trust and explain.
We work through specifications, bounded agent loops, evidence, and delivery—so that speed becomes useful, and responsibility stays visible.
Knowledge is for sharing. Digital editions are free. Printed copies cost only printing and shipping; I charge no royalties for shared knowledge.
LEADN.KLYFF.ORG / LEARN BY BUILDING
Explore the free training with certificate on leadn.klyff.org, then practice with these small exercises inspired by the book.
LEADN.KLYFF.ORG · FREE TRAINING WITH CERTIFICATE
A free course on The High Leverage Engineer, built with agents in hours—including a clone of my own voice. An open source platform for creating complete courses with agents.
Free Training with Certificate ↗FOUNDATIONS · START ANYWHERE
Explore how judgment shapes AI-assisted work. Then define a problem before asking a model to solve it.
Begin with the essays ↓Practice space only. Your text is not sent or saved.
ENGINEERING · BUILD ON THE BASICS
Connect the book's Agentic SDLC ideas to a small, bounded task with a clear definition of done.
Explore the book ↓Practice space only. Your text is not sent or saved.
INQUIRY · FOLLOW YOUR CURIOSITY
Use primary documentation to explore agents or digital identity. Separate a documented capability from your own hypothesis.
Choose a research question ↓Practice space only. Your text is not sent or saved.
Learning has room for small pauses. Ask Chimbler for a reflection prompt. She's a provisional illustrated companion, with a very real enthusiasm for your reading time.
01 / READING & IDEAS
AI moves quickly. I want to make room for the thinking that lasts.
ESSAY · DEC 27, 2025
I explore the human decisions that give AI-assisted work its direction.
PRACTICAL PLAYBOOK · DEC 30, 2025
My playbook for taking responsibility for the result.
ON MY READING DESK
I use reporting alongside primary documentation to find questions worth investigating.
Explore IEEE Spectrum's AI coverage ↗A SMALL DETOUR
And occasionally, a scientist and a very fluffy co-pilot.
03 / RESEARCH
These are directions I'm exploring, with sources you can examine for yourself.
TECHNICAL PAPER · OCTOBER 23, 2026
An abstract, explicit equations, three reproducible figures, and a careful separation of attention, cache, and recurrent state—beyond the 270k-token claim.
Read the research note ↗
TECHNICAL STUDY · AUDIO & MUSICAL SIMILARITY
Tempo, pitch, synthesis and Euclidean distance. Listen to original examples and inspect matching regions, histograms and local alignment paths.
Read the study and hear the examples ↗AGENTIC ENGINEERING
I want to connect clear task boundaries with evidence of accepted outcomes. My starting point is to study model capabilities in context, rather than treat a model name as a guarantee.
SELF-SOVEREIGN IDENTITY
I'm interested in identity systems that let people present verifiable claims without making every interaction depend on a single platform. I start with the standards, then ask what a useful implementation would require.
Personal research framing · October 23, 2026. These are questions and reading paths, not published research findings or model evaluations.
04 / VENTURES & PRODUCTS
I care about the journey from technical possibility to a problem worth solving.
I connect my engineering work with questions about decision-making and prediction-market infrastructure. Visit Predix's own site for the current product story.
Meet Predix ↗I welcome thoughtful conversations about startups, AI, and products in development. Bring a concrete problem, a difficult assumption, or an idea we can examine together.
Start a conversation ↗A FUTURE LEARNING SPACE
I'm imagining a shared workspace where we can train concepts from the book, try small experiments, and learn from what happens. It's a proposal in development, with no release date yet. A future experience may include a full-body Klyff avatar walking alongside Chimbler; that feature is not available yet.
Coming soon · concept stage01 Start with a question.
02 Make a small experiment.
03 Look at the evidence.
04 Learn. Together. ▍
YOUR NEXT CHAPTER STARTS WITH CURIOSITY.05 / ABOUT KLYFF & FAMILY
I'm Klyff Harlley Toledo—a software engineer, architect, researcher, and author. I bring engineering and business outcomes into the same conversation, and I enjoy making what I learn useful to others.
Family belongs in this story, too. I'll share the moments and introductions we choose to make public here, in our own time.
Find me on LinkedIn ↗A MANIFESTO TAKING SHAPE
I want to help shape a future where access to code and the ability to understand, use, and develop AI expand human agency.
Working proposal for discussion with Klyff · Not a final or signed manifesto.
Make code, learning resources, and the skills to question systems easier to reach. Meaningful access includes the ability to understand, contribute, and build.
Pair experimentation with evidence, human accountability, and proportionate safeguards. Openness and careful release decisions should strengthen each other.
Keep human dignity, choice, and broad participation at the center. The purpose is to expand what people can learn and achieve, rather than concentrate their dependence.
Direct our curiosity toward scientific discovery, new frontiers, and humanity’s long-term flourishing—on Earth and beyond—with responsibility for the people affected along the way.
Whatever your race, color, sex, gender, physical or mental condition, nationality, or planet of origin: you're welcome. All you need is a willingness to share knowledge and learn alongside others.
Say hello ↗