Business / Finance · Profession
Pitch-book outlines, market commentary, and pre-meeting brief synthesis for analysts who already work too late.
Recommended tools · 12
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Investment bankers lean on ChatGPT for first-pass drafts, structured outlines, and rubber-duck thinking on tricky problems before client work goes out.
Investment bankers use Claude to break a complex ask into pieces — surface the right questions, draft a candidate answer, then refine it before delivery.
Investment bankers lean on Gemini for first-pass drafts, structured outlines, and rubber-duck thinking on tricky problems before client work goes out.
Investment bankers use Mistral Le Chat to break a complex ask into pieces — surface the right questions, draft a candidate answer, then refine it before delivery.
Investment bankers use Monica to break a complex ask into pieces — surface the right questions, draft a candidate answer, then refine it before delivery.
Investment bankers use Perplexity to break a complex ask into pieces — surface the right questions, draft a candidate answer, then refine it before delivery.
Investment bankers lean on Poe for first-pass drafts, structured outlines, and rubber-duck thinking on tricky problems before client work goes out.
Investment bankers lean on You.com for first-pass drafts, structured outlines, and rubber-duck thinking on tricky problems before client work goes out.
Prompts to try
You are assisting a investment banker. From the meeting notes below, produce: a 3-sentence executive summary, key decisions made (bullets), open questions parked, follow-up actions with owner and date, and a draft email to the client recapping. Keep tone professional but human. Notes: [paste raw notes here]
As a investment banker, walk through the variances in the data below. For each line item where actual deviates from forecast/budget by more than [X%], identify: the magnitude, the most-likely drivers (ranked), what evidence would confirm each driver, and a one-line recommendation for management commentary. Don't speculate beyond what the data supports. Data: [paste data here]
Explain [concept] as a investment banker would explain it to a smart but-junior team member. Use one numerical example with realistic numbers, one analogy from daily work, and one common confusion to call out. Then list two questions a junior should ask to confirm understanding. Keep under 300 words.