AI that drafts investor updates from your actual work: what it reads, writes, and leaves to you

Littlebird is an AI that drafts your monthly investor update from the month it already saw: the customer and team calls it transcribed, the decisions, action items and risks Meeting Notes pulled out of them, and the docs and threads that were on your screen while you worked. You save a six-section prompt once as a monthly Routine, and the draft lands before the update is due, with the metrics left blank for you to fill from your source of truth. The free Basic plan includes a limited number of active Routines. Below: what feeds each section, the exact prompt, a sample draft, what it can't see, and how it differs from Briefer, Toyo, Town, and ChatGPT.

What does the AI draft the investor update from?

Six sections, and each one has a source Littlebird already holds, except the one you own. The table names them.

• Headline. Where Littlebird gets it: The month's decisions and risks, read across every call it transcribed. What it can't know: Whether you'd call the month good; it drafts the line, you judge it.
• Metrics. Where Littlebird gets it: Nothing on purpose; the section comes back as your standing metrics with blank values. What it can't know: The numbers, which you paste from your source of truth.
• Highlights. Where Littlebird gets it: What shipped, who signed, and what you learned, from the transcribed calls and the docs that were on your screen. What it can't know: Anything that happened off your screen and off your calls.
• Lowlights. Where Littlebird gets it: The Risks and open questions, and the Decisions, that Meeting Notes separates out of every call summary. What it can't know: How to say it; the honest sentence is yours.
• Asks. Where Littlebird gets it: The intros, hires and advice you asked for out loud on calls, and the open action items assigned to you. What it can't know: Which asks still matter; cut the ones that resolved.
• Thank-yous. Where Littlebird gets it: The people who were in the room, by name, from the meeting summaries. What it can't know: Who helped outside a call.

Two things make that possible. Littlebird runs on your computer and pays attention to the active window, so the pricing doc, the hiring thread and the board deck were read while you worked in them. And Meeting Notes transcribes every call with no bot joining and returns a structured summary with Decisions, Action items split into yours and everyone else's, and Risks and open questions, so the lowlights don't depend on your memory of the 12th. If you connect Google Calendar, Gmail and Notion, the month's meeting list, the threads, and the pages you keep the plan in are in context too. Integrations are optional; the screen and the meetings are enough to start.

Why is the investor update always late?

It's Sunday night. The update was due Friday. The month happened, 20-odd customer calls, two hires, a pricing decision, a scare with the biggest account, but reconstructing it means scrolling four weeks of calendar, reopening docs, and asking yourself what you actually told the team on the 12th. There's no EA to hand it to. The problem was never the writing. Nobody was keeping the record while you ran the company.

Littlebird was keeping it. Because it reads your screen and transcribes your meetings, the month is already in one place when you sit down, and the draft starts from what happened instead of what you remember.

What goes in an investor update?

Investors read hundreds of these. The ones they finish share a shape.

• The headline. One sentence on how the month went, honestly. "Good month, one problem" beats three paragraphs of context.
• Metrics. The three to five numbers you always report, with last month beside them. Pick them once and never change the set.
• Highlights. What shipped, who signed, what you learned. Three to five bullets.
• Lowlights. What went wrong and what you're doing about it. This is the section that builds trust, and the one founders skip.
• Asks. Intros, hires, advice. Specific enough to act on today.
• Thank-yous. Who helped, by name.

Keep it to a screen and a half. The update is a habit, not a document.

What prompt does the Routine run?

Save this once as a monthly Routine, or paste it into an Investor Updates Project when you want a one-off draft. It asks for a source on every line, so your check is a two-minute read instead of a rewrite.

Draft this month's investor update from my meetings and work since the 1st. Use exactly these six sections, in this order: Headline (one honest sentence on the month), Metrics (list our standing metrics with blank values for me to fill), Highlights (three to five bullets: what shipped, who signed, what we learned, each ending with the call or doc it came from), Lowlights (what went wrong and what we're doing about it, plainly, each with its source), Asks (intros, hires, advice, specific enough to act on), Thank-yous (by name). Keep it to a screen and a half. No adjectives, no summary paragraph. If you're not sure something happened, leave a bracketed question instead of guessing.

What does the draft look like?

A sample, with brackets where your month goes. Every line that isn't a metric ends with where it came from.

• Headline. Good month, one problem: [account] raised a renewal risk on the [date] call. (Risks, Meeting Notes)
• Metrics. MRR [ ], net new customers [ ], burn [ ], runway [ ]. Fill from your source of truth.
• Highlights. Shipped [feature] on [date] (release doc on screen). Signed [customer] (Decisions, [date] call). Learned that [insight] ([date] customer call).
• Lowlights. [Account] is at risk because [reason]; next step is [action], owner [name] (Risks and Action items, [date] call).
• Asks. An intro to [person or firm] for [reason] (you asked for it on the [date] call). A [role] hire; the job spec was on screen on [date].
• Thank-yous. [Name] for [help] ([date] call).

Then edit. The reconstruction is done; the numbers, the judgment, and the tone of the bad news are yours.

How do you set it up?

Five steps, once, and then it's a monthly habit that costs an hour instead of a Sunday.

1. Make a Project called Investor Updates. Projects group related chats and meetings and carry their own Instructions field. Put the six-section structure in the instructions, add your standing metric set, and upload the last two updates so the tone is yours.
2. Let the month happen. This is the step that doesn't exist elsewhere. Meeting Notes transcribes every customer and team call with no bot joining, and the summary separates decisions, action items, and risks. The pricing doc, the hiring thread, and the board deck were on your screen, so they're in context too.
3. Make it a Routine. A Routine is a saved prompt that runs on a schedule and pushes you the result. Paste the prompt above, set it for the last Friday of the month, and the draft arrives before you'd have remembered to start. Littlebird ships a ready-made stakeholder status update Routine you can point at investors instead.
4. Choose delivery. Push notification, email, or both. One setting to know: Routines auto-pause by default if you stop opening their output, and resume from the Routines dashboard.
5. Put the numbers in yourself. Metrics come from your source of truth, not from an AI's reading of a dashboard on screen. Paste them into the blanks. This is the one section you should never let the assistant fill.

What can't it see?

• Your metrics. The Metrics section comes back blank on purpose. Revenue, burn and runway belong to your source of truth, not to an AI's reading of a chart that happened to be on screen.
• Anything off your screen and off your calls. A hallway decision, a call taken on your phone, an email you read elsewhere. The iOS and Android apps let you ask questions away from your desk; they don't capture your phone screen.
• Apps and sites you excluded. Exclude your bank, your cap table tool, or whole categories such as Banking, and they never enter the memory. Password managers are excluded by default, and card numbers and API keys are redacted before storage.
• Anything while capture is paused. Pause for 5, 15, 30 or 60 minutes, or until next launch.

It isn't a screen recorder: no video, no screenshots, no keystroke logging. The app runs on your computer and the memory it builds is encrypted and stored in the AWS cloud (US East), SOC 2 Type II compliant, and your data is never sold.

Which AI tools draft investor updates, and from what?

Four products say they draft the update for you, plus the general assistants, and they differ by what the draft is built from. Each entry carries the date its site was read.

• Briefer. Briefer describes itself as an AI coworker for seed to Series B founders that drafts the monthly update from live sources such as Stripe, HubSpot, spreadsheets, Gmail and Notion, sends it to Slack for a one-tap approval, and says it is onboarding its first pilot companies (briefer.vc, read September 23, 2026). Built for the numbers half.
• Toyo. Toyo's investor update drafter pulls metrics from its Library (revenue, growth, burn, runway and the KPIs you track, with deltas since last month), drafts the wins, lowlights and one or two asks, carries over what you said you'd do last month and where it landed, and delivers the full draft in Gmail for you to edit and send; its page says nothing goes out without your review (toyo.ai/capabilities/investor-update, read October 15, 2026). Also built for the numbers half.
• Town. Town's Investor Update Draft is a routine its Townie AI assistant runs on your update cadence: it pulls the period's shipped work from Linear or GitHub, key metric movement, new hires, wins and lowlights, drafts in your voice and structure, and flags anything only a human can confirm; it drafts only, and the principal reviews and sends (town.com/routines/investor-update-draft, read October 15, 2026). Town is built around an assistant drafting on a principal's behalf.
• Visible. Visible works from the investor's side: after a founder answers a fund's data request, Visible AI can turn that response into an update with charts, and its site says it is used by over 950 venture funds (visible.vc, read September 23, 2026).
• ChatGPT or Claude. Draft from whatever you paste: your metrics sheet, your notes, last month's update as a style sample. Nothing you didn't paste exists.
• Littlebird. Drafts from the month itself: the calls it transcribed, the decisions and risks Meeting Notes flagged, and the docs and threads on your screen, with the numbers left for you to paste. Pick it when reconstructing the month is the hard part. Product facts from our maintained fact base, October 15, 2026.

The split is simple. Briefer and Toyo pull numbers. Town pulls shipped work from the engineering trackers. Littlebird pulls what was said and decided. Some founders run one of the first two beside Littlebird: one fills the metrics, the other writes the month.

Can ChatGPT or Claude write my investor update?

Yes, if you paste the month. Your metrics sheet, your notes from the key calls, the decisions you can remember, and last month's update as a style sample. Ask for the six sections. Claude in particular is strong at this kind of synthesis, and for a founder who keeps good notes it's a real method.

The catch is why AI-written updates read empty. The model only knows what you pasted. It wasn't in the customer call where the churn risk came up and it didn't see the Slack thread where you decided to raise prices, so you get the shape filled with generalities. General assistants have no context. You copy and paste to catch them up, which is slow, lossy, and awkward when the material is your cap table. The writing is fine. The content is the month, and the month wasn't in the chat. The founders who keep good notes through a month like that are rare, and the ones who don't are the ones who need the update most.

What should you never let AI decide?

The numbers, as above. The asks, because only you know what you actually need. And the tone of bad news. An AI will soften a lowlight into a "learning." Investors can tell, and they'd rather have the plain version. Use the draft for the reconstruction, the part that took your Sunday, and write the two paragraphs that matter yourself.

What does it cost?

The free Basic plan includes a limited number of active Routines and limited meeting notes, which covers a monthly investor update and a handful of calls. Plus is $17 per month billed annually or $20 per month billed monthly, with a 14-day free trial, and adds unlimited meeting notes and more daily chats and routines, which is the tier for a founder taking 20 customer calls a month. Pro is from $100 per month. Prices as listed on littlebird.ai/pricing, verified October 15, 2026.

Is this only for founders?

No. The same method writes a board memo, a monthly report to a client, or a leadership update. The pattern is identical: the assistant that saw the month reconstructs it, you supply the numbers and the judgment. In a Littlebird user survey (2026), 43% of subscribers estimated saving three or more hours a week. For most founders, the investor update alone was one of those hours.

Common questions

Can AI write my investor update?

It can write the shape. Whether it can write the content depends on whether it knows what happened this month. Littlebird does, because it transcribed your meetings and saw your work on screen, so the draft starts from real calls and real decisions. Put the metrics in yourself.

Which AI tools draft investor updates automatically?

Briefer and Toyo draft from your metrics: Stripe, your CRM, spreadsheets, or a metrics library. Town drafts from shipped work in Linear or GitHub plus metric movement, for an assistant working on a principal's behalf. Littlebird drafts from the meetings it transcribed and the work on your screen. ChatGPT and Claude draft from what you paste. Sites read September 23 and October 15, 2026, as dated above.

What should an investor update include?

A one-line headline, a fixed set of three to five metrics with last month beside them, highlights, lowlights, specific asks, and thank-yous. A screen and a half, sent on a schedule.

How does Littlebird know what happened in my meetings?

Meeting Notes transcribes and summarizes your calls on your computer, with no bot joining, and works for any audio playing on your machine. The audio isn't stored, only the transcript and summary, which separates decisions, action items, and risks.

Does Littlebird pull my metrics from Stripe or my CRM?

No. It leaves the Metrics section blank for you on purpose. If pulling the numbers is the hard part, Briefer and Toyo do that (briefer.vc read September 23, 2026; toyo.ai read October 15, 2026). Some founders use one of them for the numbers and Littlebird for the month.

Should I use an investor-update tool or an assistant like Littlebird?

It depends on which half is hard. If the numbers are the problem, a tool that pulls from Stripe and your CRM fills them. If reconstructing the month is the problem, an assistant that transcribed the calls and saw the work drafts the narrative, and you paste the numbers. Some founders use both.

Is it safe to put company information through Littlebird?

The app runs on your computer and the memory it builds is encrypted and stored in the AWS cloud (US East), SOC 2 Type II compliant, and your data is never sold. You can exclude specific apps such as your bank or your cap table tool, pause capture anytime, and delete everything. Self-hosted deployment is available at the Enterprise tier.

The update, drafted from the month itself.

Meetings transcribed, decisions captured, draft ready on the last Friday. Free Basic plan, no setup.

Get Littlebird

Product facts come from our maintained internal fact base, re-checked October 15, 2026. Survey figure: Littlebird user survey, 2026. Briefer described from briefer.vc and Visible from visible.vc, both read September 23, 2026. Toyo described from toyo.ai/capabilities/investor-update and Town from town.com/routines/investor-update-draft, both read October 15, 2026. Prices from littlebird.ai/pricing, verified October 15, 2026.