Why Most Automation Systems Fail (And How To Build One That Actually Works)
Automation systems fail because they never activate correctly, not because they're incomplete. Build for activation first, execution second.
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Free Learning · Better Decisions Make Growth Decisions
Make Growth Decisions
You Can Defend
Know what to test, when to trust the result, and what to do next. Practical guides for analysts, growth teams, and founders.
Personality Tests Don't Fix Execution: What Actually Improves Behavior For High-Variance Operators
Personality tests give you a label. Labels don't change behavior. What works: functional bottlenecks, hard constraints, and feedback loops.
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Why Early SaaS Founders Build The Wrong Thing (And How To Fix It Before It Kills Your Product)
Early SaaS founders perfect architecture for products nobody uses. The fix: find the first value moment before you build anything else.
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Why Your Search-Enabled AI Lies To You (And How To Force It To Tell The Truth)
Your AI optimizes for speed, not truth. Here's why it confidently lies about real-time data and the prompting fixes that force verification.
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Zero-Trust Marketing: How To Build Credibility When Everything Looks Like AI Slop
In an era of AI-generated content, proof of work is the only currency of trust. Shipped code and public failures can't be faked.
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The Fractional Co-Founder Model: Why Solo Builders Are Replacing Partners With AI Agents
The 50/50 co-founder split is a legacy risk. Solo founders now use AI agents as fractional hires — keeping 100% equity until product-market fit.
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The Baseline Conversion Trap: Why Your A/B Test Baseline Is Already Wrong
How denominator and time-window mistakes distort experiment baselines, with an illustrative worked example and a framework for sizing under uncertainty.
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The 200-Line Limit: Why Vibe-Coding Solo Apps Needs A Hard Architecture Constraint
Clean code in the AI era is about context window management. No file over 200 lines, ever. Here's why that rule doubles shipping velocity.
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Why Smart Operators Fail To Ship: The Hidden Mechanics Of Non-Execution
Most non-execution is risk management in disguise. The fix: cut scope until shipping becomes the path of least resistance.
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The Hidden Economics Of $300-$500 Expert Calls (And Why Most People Misprice Themselves)
Expert call pricing isn't about your rate — it's about selection frequency in a matching market. Here's the math most people miss.
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Why Some Countries Produce Unicorns And Others Don't: The Hidden Constraints Most Founders Miss
Unicorns aren't created by talent. They're created by systems that allow long-term compounding. Five constraints quietly decide the ceiling.
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Why Most Recession Forecasts Fail (And The Small Set Of Indicators That Actually Matter)
Most recession forecasts fail because they treat deterioration as breakdown. Track income, spending, and credit — ignore everything else.
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Why Your "Unique Visitors" Funnel Is Lying To You (And What To Do Instead)
When breakdown rows exceed total users, you're seeing overlapping populations, not a funnel. Here's why dashboards fail and how to fix it.
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The Productivity System That Makes Smart People Less Productive
Smart people build systems that optimize storage instead of throughput. Here's why organization backfires and constraint-based execution wins.
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How AI Fit an NRG Workflow That Became Roughly 40% Faster
A first-person NRG estimate: analysis moved from roughly eight to five hours after AI-assisted steps, without isolating AI as the cause.
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The Behavioral Economics Playbook for Conversion Optimization
How to turn behavioral principles into testable conversion hypotheses while accounting for context, ethics, and replication limits.
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Behavioral Economics After the Replication Crisis: Trust But Verify
Behavioral economics is powerful, but the field has had a reputation crisis.
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Build What You Use: The Founder's Unfair Advantage in the AI Era
The best products come from founders who use their own product every day.
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The Data Analyst's Role: From Numbers to Decisions
A data analyst's real job is not producing dashboards. It is helping stakeholders make better decisions with data.
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Data Storytelling: How to Present Analytics to Executives Who've Never Seen the Data
Lessons from presenting experimentation evidence to executives at NRG and SVB, from decision framing to financial assumptions.
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Decisions with Incomplete Data: The Real Job of an Experimentation Lead
Most experimentation advice assumes perfect statistical significance. Here is how to make the best decision when the data will never be complete — a…
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Double Down But Diversify: The Case Against Single-Channel Growth
When something works, double down. But never become dependent on a single acquisition channel.
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The EBITDA Impact Model: How I Tied Every Experiment to Business Outcomes
How Atticus Li used NRG Energy's internal EBITDA impact model to translate test-window evidence into assumption-labeled financial estimates.
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Enrollment Flow Optimization: 5 Experiments with $1M+ in Projected Annual Impact
Five historical NRG enrollment experiments with internally reported test results and $1M+ in modeled annual impact—not externally audited revenue.
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