PromptSharp › Daily briefs › Finance › September 11, 2026

Finance prompt of the day

September 11, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are structuring BOARD / DISCUSSION MATERIALS for a specific decision. Context: [THE DECISION / ASK, the audience, the options, what I know]. Produce:
1. The ONE-SENTENCE ask and the recommendation up front.
2. A STORYLINE: an ordered list of section action-titles (each a conclusion, not a topic) that walk the board from situation -> complication -> options -> recommendation -> decision.
3. Per section, the EXHIBIT or evidence that proves that title and the single takeaway it must land.
4. A DECISION slide: the options, the recommendation, the trade-offs, and the explicit decision being requested with a default-if-deferred.
Flag anywhere I'm asserting something the materials don't yet support.

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data. Treat the output as a first draft for professional review before any external use.

What changed for Finance

How to run “Board / discussion-materials storyline for a decision ask”, step by step

The situation this prompt is built for: You're preparing discussion materials for a board or committee that must decide something, and the deck needs to drive to the ask, not narrate. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.

What each placeholder does

Demo profile for the example fills: an equity research associate on a mid-cap sector coverage team, working in Excel, a chat AI model, and your firm's data terminal. Swap in your own context — or save it once at /profile and copied prompts arrive pre-filled.

• [THE DECISION / ASK, the audience, the options, what I know] — this is the input the whole output quality hangs on. Each part narrows the answer: the decision; ask; the audience; the options; what i know. Demo fill: one named segment, not a demographic blur — e.g. “heads of RevOps at 50-500-person B2B SaaS companies”. Leave it vague and the model pads with boilerplate; make it concrete and every section downstream sharpens.

What the model hands back

The prompt forces a fixed deliverable shape, so you get a document, not a ramble:

1. The ONE-SENTENCE ask and the recommendation up front.
2. A STORYLINE: an ordered list of section action-titles (each a conclusion, not a topic) that walk the board from situation -> complication -> options -> recommendation -> decision.
3. Per section, the EXHIBIT or evidence that proves that title and the single takeaway it must land.
4. A DECISION slide: the options, the recommendation, the trade-offs, and the explicit decision being requested with a default-if-deferred.

Why this structure works

Board decks fail when analysis never resolves into a decision story; forcing conclusion-titles, an evidence-per-section map, and an explicit decision slide with a default turns a data dump into materials that actually drive a call.

On Pro, the storyline structure arrives in your firm's board-materials convention and your audience's altitude from the profile you set once.

When to use it — and when not to

Reach for it when

• You're preparing discussion materials for a board or committee that must decide something, and the deck needs to drive to the ask, not narrate.
• You can actually supply the inputs it asks for ([THE DECISION / ASK, the audience, the options, what I know]) — this prompt is an amplifier for real context, not a substitute for it.
• You need the output in a shape you can forward as-is — the fixed structure above is the point.

Skip it when

• You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
• The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.

Adapting today’s prompt for adjacent roles

“Board / discussion-materials storyline for a decision ask” sits in the Pitch & Presentation lane of the finance pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:

You are an M&A / financing associate building a SOURCES & USES and a pro forma capitalization bridge for a transaction I describe: [DEAL: target, purchase price / EV,…

You are a trader planning EXECUTION of a large order. Details: [NAME, side, size vs ADV, urgency, current liquidity/spread, any benchmark]. Produce: 1. An…

You are a buy-side analyst constructing a SHORT THESIS for [NAME]. Using only what I provide, produce: 1. The CORE SHORT logic in 3-4 sentences: what breaks, why the…

Common failure modes (and the fixes)

• Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify externally before relying on it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Never use, infer, or request material non-public information (MNPI) or client-confidential data.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: filling [THE DECISION / ASK, the audience, the options, what I know] with a vague summary. The output can only be as specific as this input — generic context in, generic deliverable out. Fix: paste raw specifics (real names, real numbers, real constraints), then trim the model’s output, not your input.
• Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.

Where AI is landing for investment banking right now

Context for today’s prompt, from the same screened sources the daily brief reads. Our read, with sources linked — the pattern across items like these is consistent: the professionals getting leverage from AI are the ones feeding it real working context, which is exactly the muscle today’s prompt trains.

• [No Priors] Coinbase’s Everything Exchange: Agentic Finance, Stablecoins, and Tokenization with CEO Brian Armstrong (podcast) — From the tokenization of real-world assets to funding research on anti-aging therapeutics, Coinbase co-founder and CEO Brian Armstrong is focused on solving meta-problems for the…
• [a16z Podcast] How AI Is Rewriting the Power Law of Venture Capital (podcast) — a16z’s Jen Kha and David George sit down with Accolade Partners’ Aram Verdiyan to discuss how AI is changing the power law of technology investing, why the largest companies can…

Quick answers

Is “Board / discussion-materials storyline for a decision ask” free to use?

Yes — every weekday issue of the PromptSharp Finance publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.

Which AI model does this prompt work with?

Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.

How is the finance prompt of the day chosen?

Deterministic rotation over the curated finance pool — currently 75 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.

What goes in the [BRACKETED] placeholders?

Your context — the walkthrough above covers each one. The short rule: the more concrete the fill (real names, numbers, constraints), the sharper the output. Save your details once at /profile and web copies arrive pre-filled.

How do I get this in my inbox instead?

The capture form above — PromptSharp Finance status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.

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