Nate P.

50+ SaaS tools, 50+ "sources of truth," zero agreement on the real number. One BI tool doesn't fix it — it just moves the fight. Fix the semantic layer first: pathpractical.com/thoughts/t…

Dashboard abandonment hits 60-80% within a year. It answers its original question forever, whether anyone's still asking. Ask if a live query beats the next build: pathpractical.com/thoughts/t…

A dashboard just shipped. It'll join the tab graveyard within a month. Not a tooling problem — a format problem. 5 patterns, what fixes each: pathpractical.com/thoughts/t…

Real-world leadership drudge work, automated — that's what I take off your plate, no dev team needed. Read every change. Keep one master copy. Whole playbook: pathpractical.com/thoughts/p…

"Good enough for now" is a call execs make constantly on exactly this kind of low-glamour work, rarely out loud. Shipped with a known gap, tracked the fix separately: pathpractical.com/thoughts/p…

You don't need a QA team for low-stakes work like this. You need one routine, run every time. Mine caught 2 bugs in week one — one inside the safety script itself: pathpractical.com/thoughts/p…

Automate tedious-slog work without guardrails and here's what happens: a bug that could've cost 15x my monthly AI budget in a month. Caught by accident. Now a permanent rule: pathpractical.com/thoughts/p…

You don't need an engineer to kill rote busywork. Describe it clearly — Claude writes the code. I wrote zero lines, and none of it was complicated: pathpractical.com/thoughts/p…

This is grunt work nobody needs an MBA for. Search, filter, review, decide, log — I wrote it down in plain English and had Claude build it. Whatever your version is, start here: pathpractical.com/thoughts/p…

Real-world leadership drudge work, automated. Low-risk work off your plate, no dev team. I automated a search-filter-decide process for myself — it worked, and almost cost 9 months of AI budget: pathpractical.com/thoughts/p…

You'll never out-know your engineers. You don't need to — you own the context they lack. 3 questions, no code required: Scale: whose size is this for? Evidence: measured or assumed? Reversibility: can we undo it? pathpractical.com/thoughts/o…

Auto-merging records is faster and cleaner. We said no. In a donor org, silently merging two people is invisible: wrong data, no alarm, hard to undo. Before you automate: if it's wrong, will you know? Can you undo it? pathpractical.com/thoughts/o…

We planned for 2 million events a month. Reality: 23 million — a day. A 300x miss. The fix? One query counting the data — an afternoon caught what would've cost months. A repeated number isn't a measured one. pathpractical.com/thoughts/o…

Hand an engineer no real numbers and they build for the unknown: a bridge rated for tanks. Often you don't need the bridge — you need a sign: WEIGHT LIMIT 5 TONS. "Industry standard" = built for a bigger company. pathpractical.com/thoughts/o…

Your most expensive tech decisions aren't made by you — but by a smart engineer or vendor while you nod along. They're rarely wrong. Just answering a different question than your business is asking. Out-question them: pathpractical.com/thoughts/o…

Uber's price window closed. The businesses that thrived were the ones that built during it. AI's window is open right now. Are you building dependency — or capability? One will age well. pathpractical.com/thoughts/t…

You don't need an engineering team for this. Audit your AI spend. Classify each workflow into 3 layers. Ask vendors where pricing is going. Pick one thing to build and own. 78% of IT leaders report surprise AI charges. Don't be the statistic. pathpractical.com/thoughts/t…

Routing simple tasks to lighter models cut AI costs 39% and improved latency 32–38%. Open-source models now hit 85–90% of frontier quality on routine tasks. Not every task needs the smartest AI in the room. pathpractical.com/thoughts/t…

Two ways to use AI: Consumption: ask, use, repeat. Bill recurs forever. Production: use AI to build something you own and run. Pay once. Ask this about every workflow: "Is the output something I keep — or something I repeat?" pathpractical.com/thoughts/t…

Three layers every business needs for AI: 1. Build & own — generate code you keep 2. Route & right-size — cheapest capable model wins 3. Invest in frontier — only where quality differentiates Most operators haven't sorted their workloads this way. pathpractical.com/thoughts/t…