Fast-turnaround pitches
Get from brief to a defensible slide-by-slide narrative before you commit design time.
— Sales & Growth
Turns a client brief into a slide-by-slide pitch narrative with a restated problem, key message per slide and a suggested visual.
1 day → ~10 minutes
For one complete, review-ready pass
No coding required
— USE CASES
Get from brief to a defensible slide-by-slide narrative before you commit design time.
Lead with a sharper articulation of the issue than the brief contains, which is what differentiates the pitch.
Keep the same narrative logic across every pitch the team sends, regardless of who writes it.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Findings are written up as a document that reads like professional output rather than raw model text.
Material is assessed against explicit criteria you control, so the same standard is applied on every run.
The run works from documents and data you supply, so conclusions are anchored to your evidence rather than to general model knowledge.
The difference between a pitch that lands and one that doesn't is usually the first three slides. Fast-turnaround pitches is the typical trigger — get from brief to a defensible slide-by-slide narrative before you commit design time. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1 day of experienced attention.
As a Skill, the work is already sequenced. You bring the evidence, and the run produces a slide-by-slide outline with key message per slide plus a suggested visual for each slide. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. In effect, 1 day of senior time compresses into ~10 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Pitch deck outline from brief exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
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