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I Turned My Quote-Audit Checklist Into a Fixed 7-Step Discipline (and Run It on My AI Assistant)

I Turned My Quote-Audit Checklist Into a Fixed 7-Step Discipline (and Run It on My AI Assistant) Disclosure: this article was written with the assistance of an AI writing program. I published a 7-trap vendor-quote checklist earlier this month. It did fine. But checklists have a failure mode nobody

dev.toDonnerstag 11:33 · 22.10.3 Min. Lesezeit
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Disclosure: this article was written with the assistance of an AI writing program.

I published a 7-trap vendor-quote checklist earlier this month. It did fine. But checklists have a failure mode nobody talks about: you are the enforcement mechanism. On a busy Tuesday, you skim trap 4, skip trap 6 because "this vendor seems honest," and the whole thing quietly becomes decoration.

The fix isn't a better checklist. It's removing yourself from the enforcement loop — a fixed audit discipline that runs the same checks, in the same order, every single quote, whether you're tired or not. I run mine on the AI assistant I already use. Here's the design.

Ask an AI "is this quote fair?" and you get improvisation: it notices whatever is salient, skips whatever isn't, and its thoroughness varies with how you phrased the question. Ask the same question twice, get two different audits. That's not an audit — that's an opinion with good formatting.

A real audit needs three properties: deterministic order (same checks every time), explicit evidence statuses (what's proven vs. what's merely claimed), and a closed trap list (you check for traps you know about, not traps you happen to remember).

The core of the discipline is refusing to treat all quote text as equally true. Every material attribute gets one of four statuses:

Two sentences do most of the work: CLAIMED is not VERIFIED. UNKNOWN is not VERIFIED. A currency symbol alone does not establish a named currency. "Included," "waived," "fixed," and "unlimited" are supplier claims — they do not by themselves verify scope, conditions, duration, or economics. Never infer fee frequency (one-time, monthly, annual) unless it's explicit.

After attribute-level verification, the discipline runs a fixed trap scan in fixed order: usage pricing, starting-from pricing, conditional discounts, tax ambiguity, fee frequency, renewal pricing, minimum commitments, auto-renewal, cancellation notice, support scope, implementation, volume tiers, price locks, and scope-change mechanics. Same traps, same order, every quote. That's what makes it a discipline instead of a mood.

Quote: Annual subscription $8,000. Setup fee: starting from $1,000. Support: included. Taxes: excluded. Budget cap: $10,000 first year.

Verdict: INDETERMINATE against the $10,000 cap, because setup + taxes + other mandatory charges must fit in the remaining $2,000 and two of those are UNKNOWN. That's the honest output. A freeform "looks fine" would have said $9,000 < $10,000 and moved on.

The structure is simple enough to replicate:

Run it on two competing quotes and normalize them to the same line items before comparing prices — comparison is your only leverage, and you can't compare what you haven't normalized.

I got tired of pasting this structure from a notes file, so I packaged the exact discipline — the prompt, the trap library, four worked examples like the one above, and an integrity checklist — as QuoteGuard ($19 one-time, 30-day guarantee): https://www.getly.store/product/quoteguard-quote-analysis-verification

Disclosure: I made it. The discipline above is the whole method — if you audit quotes rarely, build your own from these four steps and it's probably all you need.

What's the worst thing a vendor quote ever hid from you? The "starting from" pricing got me once — curious what got everyone else.

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