Pre-scan your monthly investor email, quarterly board memo, annual LP letter, fundraising memo, and KPI dashboard commentary before the cap table reads them. Sentence-level highlights point at the exact passages where founder voice goes flat and AI cadence creeps in, so you rewrite specific lines rather than the whole update. Investors and LPs reading fifty portfolio notes a month spot AI-drafted founder prose immediately. The scan closes that gap in under a minute. Free to try. No card.
Investor updates are the highest-frequency founder writing of the year and the document the cap table uses to recalibrate confidence between board meetings. Solo founders, scale-up CEOs, and chiefs of staff drafting on behalf of the founder all share the same need: a fast pre-send scan that catches AI residue before the partner, the board, or the LP base does.
A general partner at a typical multi-stage fund reads thirty to fifty portfolio updates a month plus a steady stream of LP letters from other GPs. Their pattern matching for what a specific founder voice sounds like and what generic AI prose sounds like is sharper than any other reader in the founder's life. The update that lands first in the partner inbox sets the tone for follow-on conversations, intros, references, and partner advocacy at the next investment-committee meeting.
A pre-seed or seed founder writes a monthly investor email to ten or twenty cap-table investors, a quarterly board memo for two to four partners, and an annual letter that the lead investor frequently forwards to fund LPs. Pro at $14.99 on yearly covers this workflow start to finish. The pattern is one investor email a month, one board memo a quarter, one annual letter, and a fundraising memo when the next round opens. Scanning each piece before send takes under a minute and protects the founder voice that the cap table is buying into.
At Series B and beyond, the CEO often drafts the update, a chief of staff or finance lead adds metric context, and a comms hire copy-edits for sign-off. Business at $29.99 on yearly with five team seats fits this workflow. Shared history surfaces which sentences the previous month's draft flagged, the audit log shows who scanned what, and the REST API lets a finance lead pipe a KPI commentary draft through scan and rewrite before the dashboard publishes.
During an active raise, the founder writes a fundraising memo, an updated investor narrative, a redacted data-room one-pager, and individualised outreach emails to a target investor list. The volume spikes from one update a month to ten written pieces a week. The integrated AI rewriter handles the passages that read AI on the first pass and lets the founder ship the round narrative without the prose flattening into pitch-deck boilerplate.
Chiefs of staff, finance leads, and head-of-ops hires increasingly draft the first version of the monthly update from raw metric data and a founder voice memo. The risk is that the draft reads like a chief of staff rather than the founder. A pre-send scan with sentence highlights surfaces the lines that drift away from founder voice and lets the operator hand back a clean draft for sign-off.
A monthly investor email and an annual LP letter are not the same document. Each genre has its own register, its own paraphrase density, and its own false-positive risk. Read the score in context of the document rather than chasing a single number across every kind of founder writing.
The monthly cadence note runs 400 to 900 words, leads with the headline metric, names the lows directly, lists two or three priorities for the month ahead, and ends with three specific asks. Healthy scores run 80 to 92 when a founder writes it themselves. The risk paragraphs are the lows section and the asks block, both of which AI drafting tends to sanitise into generic prose. Scan the full email, then re-scan the lows paragraph alone if the headline score is borderline.
The quarterly board memo runs 1,500 to 4,000 words, sits inside a deck or alongside one, and trades update-cadence for narrative depth on strategy, hiring, competitive positioning, and the capital plan. The register is more formal than the monthly email but still has to sound like the founder. Healthy scores run 75 to 88. The structural rhythm of headers (state of the business, KPI walk, strategy, hiring, capital) is conventional and not a flag risk; the flag points are the strategy paragraphs and the competitive-positioning section, where AI assistance tends to flatten conviction language.
The annual letter from a founder to investors, or from a GP to fund LPs, is the highest-stakes written artefact of the year. It gets forwarded inside the fund network, archived for diligence on the next raise, and re-read by the lead investor before partner meetings. Healthy scores on a self-written letter run 75 to 90. The defensive move is to weave in a named operator decision, a specific customer story, a hiring miss the founder learned from, and a forward thesis paragraph that nobody else on the cap table could have written.
The pre-raise memo sits in target-investor inboxes next to the deck and often gets read first. Healthy scores run 78 to 90 when the founder writes it. AI drafting on a fundraising memo collapses into pitch-deck boilerplate that reads identical to every other Series A memo in the partner's queue that week. Use the scan and the integrated AI rewriter to surface the boilerplate sentences and replace them with a specific founder voice on the wedge, the moat, and the capital plan.
The narrative panel next to a Visible, AngelList, or Carta dashboard runs 80 to 250 words a month per metric block. It is the most-scanned founder writing on a per-character basis because investors open the dashboard between updates. Healthy scores run 80 to 92. The risk is treating the commentary as a templating job and copy-pasting last month's structure with a number swap; AI assistance accelerates that drift. Rewrite each block from the underlying movement rather than the prior template.
Layoff notes, missed-quarter explanations, and pivot announcements sit outside the regular cadence and read twice as bad in AI tone. Healthy scores run 80 to 92 on a self-written note. Investors read the gap between what the situation demands and what the words deliver. A direct, specific, human note that names the cause, the response, and the founder learning lands; a templated note frames the founder as someone who did not personally sit with the decision. Scan every bad-news note before send without exception.
Pro at $19.99 a month standard, $14.99 a month on yearly, fits a solo founder or CEO writing the full update cadence. Business at $39.99 a month standard, $29.99 a month on yearly, fits scale-ups where a chief of staff, finance lead, or comms hire helps draft and review. Full details on the pricing page.
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Investor trust compounds across many updates. The cap table builds a model of founder voice over the first year of the investment and recalibrates it each month. A flat AI-drafted update interrupts that model and shifts the next conversation by a notch the founder rarely sees.
A general partner reads thirty to fifty portfolio updates a month plus a steady flow of LP letters from peer funds. An LP at an institutional allocator reads even more across vintage years. Both have a clear baseline for what a specific operator voice sounds like and what generic AI cadence sounds like. The baseline does not need to be articulated to be load-bearing; it shapes the read on the first paragraph.
Pattern-flat sentence length, neutral verbs in place of operator-specific verbs ("optimise" instead of "rewire", "leverage" instead of "lean on"), and abstract claims that would normally carry a named driver in this founder's prior updates. The sentence highlights point at exactly these lines, which is the diagnostic the partner was already going to make on a slower read after the meeting.
The lead investor frequently forwards a standout monthly update or annual letter inside the fund network as proof of GP selection quality. The forwarded read shapes how fund LPs feel about the next fundraise. A specific human update from a portfolio company strengthens the GP's case; a flat AI-flavored update weakens it. Founders rarely think about this second-degree read, but it is real and recurring.
Investors who have built a clear model of a founder's voice across many updates are more willing to underwrite the next round at a higher mark, write a faster check on a bridge, make warmer intros, and advocate harder in partner meetings. Voice continuity is one of the few asymmetric advantages a founder can build at zero capital cost. Pre-send scanning protects it.
The lows section and the asks block are the two highest-signal paragraphs in any investor update. Both default to generic phrasing under deadline. Both are the first places experienced investors look for AI residue.
A churn spike framed as "we observed some headwinds in customer retention" tells the partner the founder is reaching for distance from the number. A churn spike framed as "we lost three of our top ten logos in March, two to a competitor offering steeper discounts and one to a budget freeze, and here is what we are changing" tells the partner the founder has sat with the decision. AI drafting defaults to the first register. The detector catches that drift before send.
An ask block that reads "we would appreciate any intros in the enterprise space" produces no intros. An ask block that reads "we are targeting the VP of Eng at Stripe, Notion, and Linear for our next two design-partner conversations; if you have a path to any of those three, we'd love a forward" produces three intros. Founder voice in the asks block is the difference between asks that move the company and asks that disappear into the inbox.
Performance recaps and metric tables tolerate templated phrasing because the numbers carry the message. Strategy paragraphs and forward-looking commentary do not; if the prose flattens, the institutional reader infers that the strategy itself is flatter than the prior update claimed. Use the scan most aggressively on the strategy paragraphs of any monthly update or board memo.
Specific, owned, and forward. The lows section names the cause, the magnitude, the response, and the founder learning. The asks block names a specific target, a specific role, and a clear forward path. Both read as one founder thinking out loud rather than a sanitised summary. The TextSight sentence highlights point at exactly the lines that drift away from this pattern, so the founder rewrites two or three sentences instead of the whole update.
An investor update interleaves a quantitative register (KPIs, cash, runway, headcount) with a qualitative register (strategy, hiring philosophy, competitive read). AI drafting tends to homogenise the two into a neutral middle. Strong founder updates keep both registers distinct and let each carry its share of the prose.
Net new ARR, gross margin, magic number, net dollar retention, cash on hand, months of runway at current burn, and headcount with role mix. The quantitative voice reads precise, specific, and minimal in adjectives. AI drafting on the quantitative section produces sentences like "we saw strong performance across our growth metrics" instead of "ARR grew from $4.2M to $4.6M, net dollar retention held at 118%, and we crossed $400K in new logo ACV". The scan flags the soft phrasing and lets the founder write the hard number.
Strategy, competitive positioning, hiring philosophy, customer story, and founder learning. The qualitative voice reads opinionated, specific, and grounded in a named example. AI drafting on the qualitative section collapses into "we continue to focus on customer obsession and operational excellence" instead of "we shipped the integrations API this month after losing a deal in February because we did not have it; the customer who pushed us on it became our largest expansion of the quarter". The scan flags the abstract phrasing.
An investor reading the update is doing two reads in parallel: a metric read (is the business growing the way the model says) and a thesis read (does the founder still see the market the way they did at the round). A homogenised middle register fails both reads at once. Keeping the quantitative voice precise and the qualitative voice opinionated lets the investor finish both reads in 90 seconds, which is the budget most updates get on the first open.
The score is the diagnostic, not the goal. Rewriting an update purely to lift the number tends to flatten the founder voice the cap table is buying into. Use the sentence highlights to find specific lines that drift into stock phrasing, rewrite those, and let the headline score land wherever it lands.
The quarterly board memo is the longest piece of writing the founder ships outside a fundraising round. It survives a closer read than the monthly email, lives in a board deck for archival, and frames the partner discussion at the next board meeting. The register is more formal, but the founder voice still has to land.
Most well-written board memos follow a recognisable rhythm: state of the business, KPI walk versus plan, strategy update, hiring and org changes, competitive read, capital plan and runway, board discussion topics. The structure is conventional and not a flag risk on its own. The risk is the prose between the headers, where AI drafting tends to produce smooth transitional paragraphs that read identical to every other board memo the partner has reviewed that month.
Partners read the KPI walk first to confirm the number against their tracking sheet, then read the strategy update and the competitive read. Hiring, capital, and board topics get a faster scan. The two strategy paragraphs and the competitive read carry the highest weight per word in the memo. Use the scan most aggressively on those sections and rewrite any flagged sentence with a named operator decision, a specific customer story, or a concrete competitive observation.
Formal writing and AI writing share some surface features: longer sentences, lower contraction rate, and a preference for nominal phrasing. The detector handles this case; the prose features it flags are different from formal register. False-positive risk on board memos is low when the founder writes the strategy section themselves. False positives rise when the founder hands the strategy section to a chief of staff to draft from notes.
The board memo typically goes out 48 to 72 hours before the meeting. Run the scan during the founder's review pass, before the chief of staff or finance lead does the final formatting. A 4,000-word memo scans in under a minute on Pro at 10,000 characters per scan. Re-scan after rewriting flagged passages. Two passes is usually enough.
Most founders run their update cadence through one of three platforms: AngelList Stack and Roll-Up Vehicles, Carta with its investor reporting tools, or Visible.vc. Each platform handles distribution and metric dashboards, but none scans the prose for AI residue. TextSight slots in before the send button.
Visible.vc is the dominant tool for monthly investor updates at seed through Series B. AngelList covers the cap table and roll-up vehicles. Carta covers cap-table management, equity admin, and investor reporting at slightly later stages. All three handle metric ingestion, dashboard rendering, and email distribution well. None reads the prose.
The recommended pre-send loop runs draft in Visible, AngelList Update, or Carta Investor Updates; export to text or copy the draft; scan in TextSight; rewrite flagged passages using the sentence highlights; re-scan; paste back into the platform; send. The loop adds 60 to 90 seconds to the monthly update routine on Pro and protects the founder voice that the cap table reads each month. The REST API on Business automates the loop for teams that publish through a finance lead.
The strongest founder-update writers in the portfolio of any seed fund are not the ones with the best prompts. They are the ones who block 90 minutes on the last Friday of each month, write from the metric dashboard and a list of three customer stories collected during the month, and never let the cadence slip. The detector is a check on that habit rather than a substitute for it.
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IR, equity research, fixed-income, M&A memos, and fintech editorial pre-review.
For finance →Light, Balanced, and Maximum modes for rewriting flagged update passages without losing founder voice.
Read the guide →What the score actually measures, how to read sentence highlights, and where the band is.
See the guide →Free, Starter, Pro, Business. Yearly billing saves 25%. Solo founder to scale-up team tiers.
See pricing →Free to try. No card. Pro at $14.99 a month on yearly for solo founders running the full update cadence; Business at $29.99 a month on yearly for scale-up teams with a chief of staff or finance lead reviewing each send.