Prepared by Tucker Carlile · Carlile Advisors · July 10, 2026
Same playbook we ran with the WTP team, tuned to Doc's Diesel: Shopify + Amazon, NetSuite, Peoplevox (your Warehouse MCP), Triple Whale, Slack, and the Doc's OS dashboards. Each prompt is copy-paste ready. Practical, numbers-first, no token waste.
1Audit my AI setup
Run once now, then monthly
Same starting point we used with Chris: know what you have before adding more.
Audit my current Claude/Fable setup end to end. Inventory: every connector and MCP I have attached (Warehouse MCP, Slack, Drive, anything else), every project, every artifact I've created, and every scheduled job. For each one tell me: what it does, when it last produced something useful, and whether it's earning its tokens. Then give me: (1) what to delete or consolidate, (2) what's underused that I should lean on harder, (3) the top 3 gaps where a new connector or scheduled job would pay for itself fastest at Doc's Diesel. Be blunt and practical.
2CEO Daily Command Center — cash-flow edition
Run once to create it · then schedule the refresh
The cash-flow-drivers version of the Command Center you asked for. Two-step pattern: this prompt creates the artifact, then tell it to refresh every morning.
Create a Daily Command Center artifact focused on what actually drives my cash: (1) today's order pace vs capacity goal from the warehouse (goal = active packers × 17.5 × 8), (2) yesterday's sales by channel — Shopify vs Amazon — vs plan, (3) ad spend and TACoS from Triple Whale vs target, (4) anything in NetSuite that moves cash this week (big POs landing, payables due, inventory receipts), (5) open failed actions or fulfillment risks that could delay revenue. End with the 3 decisions or actions that most affect cash this week. Keep it one screen, numbers first, and refresh it every morning at 7.
3Warehouse morning brief + staffing call
Every morning · uses your live Warehouse MCP
Formalizes the staffing questions you're already asking it, and keeps failed actions from aging into blacklisted locations.
Using the warehouse data, give me this morning's brief: today's capacity goal (packers × 17.5/hr × 8), live pace and % to goal, open order queue, outstanding failed actions with how long they've been sitting (flag anything old enough to risk a blacklisted location), and order-age SLA buckets. Then make the staffing call: based on the queue and inflow trend, how many packers do we need tomorrow, and do we need overtime or can someone flex to another area? Give me the answer first, evidence after.
4EOS scorecard drift + L10 prep
Afternoon before your leadership L10
Paste your scorecard export and walk into L10 with the issues list already drafted. Gets even better once the Scale OS scorecard is live.
Here are this week's scorecard numbers and rocks [paste Scale OS export / CSV]. Compare every measurable to its goal and to its 4-week trend. Flag: (1) anything off-track two weeks in a row, (2) any rock that hasn't moved, (3) any number that looks wrong or stale (be suspicious of copy-paste errors). Then draft my L10 issues list: for each flagged item, one sentence on what happened, the likely root cause, and the owner I should assign. Rank issues by dollar impact, not by who complains loudest.
5Rank my next AI builds
Quarterly, or before green-lighting new build hours
Turns "what should we build next" into a ranked list — and sets up the Adam (marketing/forecasting) and Eric (product-line pacing) conversations.
You know my stack: Shopify + Amazon storefronts, NetSuite ERP, Peoplevox warehouse, Triple Whale analytics, Slack, and the Doc's OS dashboards we've built (Warehouse OS live, Scale OS in progress). Here's how work actually flows today: [paste 3–5 sentences on current pain — e.g. Eric builds product-line pacing NetSuite → Excel by hand, Adam pays for Triple Whale AND Statlas, miss-picks get posted in Slack and chased manually]. Rank the top 5 automation/AI opportunities by dollar impact vs build effort. For each: what it replaces, the data it needs and where that lives, the risk if we get it wrong, and what a one-week version looks like. Tell me which ONE to green-light first and why.
Carlile Advisors · prepared for Max Nibhart · not indexed