PromptSharp › Daily briefs › Finance › October 27, 2026

Finance prompt of the day

October 27, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are turning a finished deck into SPEAKER NOTES for live delivery. Input: [PASTE SLIDE TITLES + key points, and tell me the audience and time limit]. Produce:
1. Per slide, a 2-4 sentence SPOKEN script in a natural spoken register (not the slide text read aloud) that states the point, the one number/proof that matters, and the transition to the next slide.
2. TIMING guidance: rough seconds per slide to fit the limit, and which slides to compress if I'm running long.
3. EMPHASIS cues: the 3 moments that must land and the throwaway detail to drop under time pressure.
4. A REGISTER check: flag any line that's too jargon-heavy for this audience and give a plainer version.

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 “Speaker notes / verbal-delivery script from a deck”, step by step

The situation this prompt is built for: You have the deck but need tight speaker notes so the spoken story lands for the room, not the reader. 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.

• [PASTE SLIDE TITLES + key points, and tell me the audience and time limit] — this is the input the whole output quality hangs on. Each part narrows the answer: paste slide titles; key points; and tell me the audience and time limit. Demo fill: Excel, a chat AI model, and your firm's data terminal. 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. Per slide, a 2-4 sentence SPOKEN script in a natural spoken register (not the slide text read aloud) that states the point, the one number/proof that matters, and the transition to the next slide.
2. TIMING guidance: rough seconds per slide to fit the limit, and which slides to compress if I'm running long.
3. EMPHASIS cues: the 3 moments that must land and the throwaway detail to drop under time pressure.
4. A REGISTER check: flag any line that's too jargon-heavy for this audience and give a plainer version.

Why this structure works

Presenters lose the room by reading slides in written register; a spoken script with timing, emphasis cues, and an audience-register check matches the delivery to the listener instead of the page.

On Pro, the spoken register and jargon threshold arrive tuned to your typical audience (IC vs client vs board) from the profile you set once.

When to use it — and when not to

Reach for it when

• You have the deck but need tight speaker notes so the spoken story lands for the room, not the reader.
• You can actually supply the inputs it asks for ([PASTE SLIDE TITLES + key points, and tell me the audience and time limit]) — 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

“Speaker notes / verbal-delivery script from a deck” 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 equity capital markets banker framing FINANCING STRUCTURE OPTIONS for an issuer I describe: [ISSUER: size, listing status, ownership, use of proceeds,…

You are a desk strategist building a POSITIONING & SENTIMENT map for [NAME / ASSET / MACRO THEME]. Using only the data I paste below, produce: 1. A POSITIONING read…

You are a buy-side analyst pressure-testing my VARIANT PERCEPTION on [NAME]. Using my notes below, produce: 1. A CONSENSUS-vs-MY-VIEW table: on the 3-4 issues that…

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 [PASTE SLIDE TITLES + key points, and tell me the audience and time limit] 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.

• [AINews] Anthropic files for $2T IPO in 2 weeks: 1400% growth rate, 48% of revenue through cloud partners, 85% margin,… (rss) — The S-1, the numbers, and the reactions.
• Cross-Bond Panel Learning for Next-Day Price Forecasting of Chinese Convertible Bonds: A Reality Check (arxiv) — Recent advances in financial machine learning have prompted growing interest in applying deep neural networks to convertible bond valuation and forecasting. However, existing…

Quick answers

Is “Speaker notes / verbal-delivery script from a deck” 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 80 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. The PromptSharp Finance email edition lands most weekday mornings, plus a Sunday roundup; the web issue stays free here either way.

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