What I read, use, and share
The gap between where you are and where you want to be is mostly clarity, skill, and reps. These are the resources I come back to, the ones that shaped how I think, build, and keep moving. Take what's useful.
The clearest take on what strategy actually is, and why most "strategy" is just goals with no plan. Pairs perfectly with how I frame a roadmap.
A novel that teaches the theory of constraints better than any textbook. Find the bottleneck, everything else is noise.
Decades old and still the standard on doing the few things that matter. Effectiveness over busyness.
Why change is hard and how to make it stick. The whole book is really about adoption, the part everyone underrates.
The OKR playbook. A clean system for turning a strategy into outcomes a team can actually run against.
Speed to a usable thing, then learn. The mindset behind shipping a working artifact instead of a slide about one.
Small, repeatable systems beat motivation every time. The operating manual for "earn it" applied to yourself.
The case for protecting the kind of focus that actually produces value, in a world built to fragment it.
Stoicism for operators. Perseverance isn’t grinding harder, it’s turning the obstacle into the path.
The research behind why "I can’t do this" should always end in "…yet." Foundational for anyone betting on growth.
Dated in places, but the core holds: clarity of desire plus relentless action. The original manifest-it-then-build-it text.
The most practical book on actually working with AI, not the hype, the daily reality. Required reading right now.
My primary thinking and building partner, especially for structure, analysis, and long documents.
claude.ai →The other workhorse. Different strengths, worth having both in the rotation.
chatgpt.com →Where ideas become working apps fast. The build stack behind most of my prototypes.
replit.com →I point it at a question and let it run, gathering and organizing the landscape before I form a view.
manus.im →Where I pressure-test a take against a different model before I commit to it.
grok.com →My go-to for quick, sourced answers and fast lookups while I work.
perplexity.ai →The connective tissue between the tools, automating the handoffs so the stack works as one.
zapier.com →Map, Interpret, Mobilize, Sustain. My method for turning complexity into change that actually holds.
Map, Assess, Implement, Measure, Scale. The same discipline applied to AI adoption, with adoption over deployment as the rule.
The plain-language operating tools I reach for constantly: map the process, fix ownership, and find the real cause before you fix anything.
Strip a problem back to what’s actually true, then rebuild. The fastest way out of "we’ve always done it this way."
Every system has one bottleneck that sets the pace. Find it, fix it, then find the next one. Everything else is motion without progress.
A library of thinking tools worth knowing, inversion, second-order effects, opportunity cost, and more.
Product, growth, and operating wisdom from people who’ve actually built. Practical, not theoretical.
Deep, well-told breakdowns of how great companies were actually built. Strategy you can feel.
How operators take an idea from zero to scale, the decisions, the inflection points, and the people behind them.
Habits that compound
Resources are inputs. These are the repeatable practices that turn them into progress, the operating rhythm I run on myself.
One honest hour: what moved, what stalled, what’s next. The single highest-leverage habit I keep.
If I can’t write it clearly, I don’t understand it yet. Writing is how the fog clears.
Momentum beats perfection. A small finished thing teaches more than a big unfinished one.
Want the version pointed at your situation?
General resources are a start. If you want the right ones for your specific problem, that's a conversation.
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