One PRD and one demo recording become the sales one-pager, support macros, training quiz, and demo script in an hour instead of a week. This playbook runs that factory with the one discipline that matters: a subject-matter expert reviews every artifact before the field repeats it to a customer.
Workflow area: Launch & GTM · Tier: Foundation · Hands-on time: ~30 minutes
Enablement content is the classic PM tax: high volume, formulaic structure, and it all derives from source material you already wrote. That makes it nearly ideal AI work — the structure is known, the facts are supplied, the voice is learnable. The failure mode is equally predictable: generated enablement drifts from what the product actually does, sales repeats the drift to a prospect, and you spend a quarter walking back a capability you never built. The factory produces volume; the SME gate produces truth.
Build the source pack. The PRD (or its summary), the demo recording transcript, the known limitations list, and — critically — the "do not promise" list: roadmap items, unsupported configurations, competitor comparisons you won't stand behind. The factory is only as honest as this pack.
Set up the factory prompt with a claims rule. In Claude or a Claude Project:
You are generating sales and support enablement from source
material. Hard rules:
- Every capability claim must be supported by the source pack.
If it isn't there, leave it out.
- Never mention roadmap or timing.
- Known limitations must appear in every artifact that a customer
could act on.
- Mark any claim you are unsure is supported with [SME-CHECK].
Source pack:
[PRD SUMMARY]
[DEMO TRANSCRIPT]
[LIMITATIONS + DO-NOT-PROMISE LIST]
Artifact 1 — Sales one-pager: problem (2 sentences), what it does
(3 bullets), who it's for, differentiator (only if source-backed),
limitations (honest), one discovery question a rep can ask.
Generate the rest of the set in the same conversation. The context carries; ask for each artifact in turn:
Artifact 2 — Support macros: the 6 most likely tickets after this
launch, each with a customer-ready reply under 120 words and an
internal note on when to escalate.
Artifact 3 — Demo script: 5-minute walkthrough with exact click
path from the transcript, the "wow moment" called out, and the
two questions to ask the audience.
Artifact 4 — Training quiz: 8 questions testing what reps most
often get wrong (limitations, who it's NOT for, escalation path),
with answers and one-line explanations.
A healthy macro looks like:
TICKET: "Can I export the new dashboard to CSV?"
REPLY: Not yet — the dashboard view doesn't support CSV export in
this release. You can export the underlying table from Reports →
Raw Data. [SME-CHECK: confirm Raw Data path unchanged]
INTERNAL: If the customer needs scheduled exports, escalate to
the product team — do not suggest a timeline.
Run the SME review as a diff, not a read. Send each artifact to the owning expert — sales engineer for the one-pager, senior support agent for macros, you for the demo script — with one instruction: mark every claim that is wrong, unverifiable, or over-promised, and resolve every [SME-CHECK] tag. A twenty-minute markup beats a "looks good" every time. Track corrections; they're your factory's error rate.
Publish to one home with a version stamp. Guru, Notion, or the sales wiki — one canonical location, each artifact stamped with product version and review date. Enablement that lives in six Slack threads is already stale. Record a Loom walkthrough of the demo script so the field hears tone, not just words.
Demo transcripts and lost-deal notes can contain customer names, deal sizes, and confidential usage details — strip identifiers before they enter the source pack, and run the factory only in your organization's approved AI tenant.
The factory's output is drafts at volume; it becomes enablement only after a named SME has marked it up — the hour you save on writing is spent on review, and that trade is the entire point.