Essay Helper
The AI writing coach that never invents a source — coaches citations inside Microsoft Word, with a trust guarantee enforced in code. Built on shipped, tested software.
diff --git a/clutch/summary.html b/clutch/summary.html index d267de1..2dc7e95 100644 --- a/clutch/summary.html +++ b/clutch/summary.html @@ -1,4 +1,6 @@ + +
Every plan and pitch, in one place — always the current version. Each opens its full page, its one-page executive summary, and a PDF to attach or print.
- +Every plan and pitch, in one place — always the current version. Each opens its full page, its one-page executive summary, a PDF to attach or print, and a live demo where one exists.
+The AI writing coach that never invents a source — coaches citations inside Microsoft Word, with a trust guarantee enforced in code. Built on shipped, tested software.
An autonomous SMS platform that refills cancelled appointment slots in under a minute and prevents no-shows before they happen. Deployed and verified.
An AI voice companion, scam shield, and licensed safety net for lonely seniors — built and live, with a full competitive analysis.
An academic operating system for neurodivergent students — an AI coach paired with a vetted tutor marketplace.
+An academic operating system for neurodivergent students — an AI coach paired with a vetted tutor marketplace. Live in production today.
The AI concierge that makes the calls, waits on hold, and runs your errands — the whole tedious phone-and-admin layer of life, handled.
No-Show Killer puts it back — automatically. The moment a client cancels, it races down the waitlist by text and refills the slot before the owner even notices. No phone calls. No lost revenue.
+A no-show isn't a missed appointment. It's inventory that can never be sold again.
+A salon chair, a dental slot, a training session, a table — all perishable. When someone cancels at the last minute, that hour is gone forever, and the standard fix is an owner frantically calling down a paper waitlist while running the front desk. Most of the time, the chair just stays empty.
+A cancellation triggers a race. First "YES" wins the chair.
+The entire recovery loop runs over ordinary SMS — no app for the customer to download, no staff intervention required.
+A client cancels — manually, via a self-serve link, or synced from the calendar. The slot goes live.
→Waitlist clients are ranked and texted a real offer in sequence, respecting consent and quiet hours.
→A single "YES" reply claims the slot atomically — no double-books — and confirms the winner instantly.
→The chair is refilled, a reminder is scheduled, and the owner sees the win. Money back in the till.
The owner opens the app to one number: dollars they'd have lost.
+Recovery, prediction, and proof on a single screen — the ROI dashboard, the live wins feed, and the No-Show Radar.
+ +Representative interface · figures illustrative
+A complete, deployed platform — not a prototype.
+Beyond the core cascade, the product has grown into an autonomous revenue-recovery system that works for the owner and feels genuinely delightful to use.
+ +An AI-style heuristic scores every upcoming appointment 0–100 for no-show risk, with self-explaining factors and one-tap nudge.
Timezone-aware confirm/reminder cycles, two-way YES/NO parsing, and full STOP/START compliance.
Race-safe, ranked, consent-gated auto-offers that refill a cancelled slot in under a minute.
Automatically nudges high-risk unconfirmed appointments in the background. The owner does nothing; the system just works.
Secure, no-login SMS links let clients rebook or release a slot themselves — no phone tag.
Two-way sync: a cancelled calendar event auto-opens a cascade; a win writes back to the calendar.
Every refilled chair fires confetti, a hero dollar count-up, and an optional "you just recovered $X" text to the owner.
A once-a-day SMS: today's bookings, who's at risk, and what auto-pilot handled overnight.
The home screen leads with dollars recovered — this month, all time, week-over-week trend, 12-week chart.
A proactive Sunday-night recap texted to the owner: chairs refilled, no-show rate, dollars saved.
Snap a photo of a paper roster or price list — Claude extracts the rows and imports them in seconds.
A full-parity SwiftUI client alongside the responsive web dashboard, with live updates.
TCPA/CASL consent tracking, audit log, right-to-erase, opt-out controls, and A2P-ready messaging.
Fully responsive, light/dark themes, and a design system consistent across every screen.
Five things most tools in this space don't have — together.
+The product's central metric is dollars recovered. It pays for a month of subscription the first time it refills a single chair.
Auto-pilot, cascades, reminders, and briefs run in the background. The owner isn't operating software — the software operates for them.
Salons, spas, dental, physio, gyms, tattoo, restaurants — anyone who sells time in slots. One product, a huge market.
Risk scoring, document extraction, and a roadmap to a conversational SMS agent — built on Claude from day one.
Confetti, count-ups, and morning briefs turn a back-office utility into something people are happy to see. Retention is a feature.
Every surface points at the same emotional payoff: an empty chair became money. That clarity is the moat.
A large, fragmented market that feels this pain every single day.
+Every business that sells time in bookable slots loses money to no-shows — and almost none of them run software that actively recovers it. That gap is the opportunity.
+Market sizes are illustrative planning assumptions, not audited figures.
+Everyone reminds. Almost no one refills.
+The category is crowded with reminder tools — but a reminder only reduces no-shows. When a chair empties anyway, those tools leave the owner to chase it by hand. No-Show Killer is built to close that gap autonomously, and to prove the dollars it recovers.
+| Capability | +Front desk & paper list |
+ Generic reminder apps |
+ Booking / PMS built-ins |
+ No-Show Killer | +
|---|---|---|---|---|
| Auto-refills a cancelled slot (cascade) | ✗ | ✗ | Rare | ✓ Core |
| Predicts no-show risk (AI scoring) | ✗ | ✗ | ✗ | ✓ |
| Two-way SMS, no app for clients | Manual | ✓ | Varies | ✓ |
| Dollars-recovered ROI reporting | ✗ | ✗ | ✗ | ✓ |
| Runs autonomously (no staff effort) | ✗ | Partial | Partial | ✓ |
| Works across many verticals | ✓ | ✓ | Vertical-locked | ✓ |
An autonomous cascade plus predictive scoring is materially harder to build than reminders — and it's the exact part that makes the owner money. Hard to copy, easy to feel.
We sell recovered revenue, not another dashboard to babysit. That reframes the purchase from a cost line to a profit lever.
Vertical incumbents are locked to one market. One engine lets us expand across verticals without a rebuild — and undercut point tools on breadth.
Built, tested, deployed, and live — one carrier registration from onboarding paying customers.
+The unit economics are almost embarrassingly simple.
+After that, every recovered no-show is pure upside. That's the easiest ROI conversation in SMB software.
+High retention follows naturally: once a business trusts it to catch cancellations, turning it off means knowingly leaving money on the table.
+The same engine serves all of them. We start where the pain is sharpest and the sales cycle is shortest, then widen — the product needs no re-build to move between verticals.
+Simple per-location pricing that a single recovered chair already covers.
+Waitlist cascade + confirmations & reminders — everything needed to start recovering chairs from day one.
Adds No-Show Radar, auto-pilot, the ROI dashboard, morning brief, and Google Calendar sync.
Volume pricing, roles, and rollout support for chains and franchise groups.
| Illustrative trajectory | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Active locations | 150 | 900 | 3,000 |
| Avg revenue / location / yr | ~$1,000 | ~$1,150 | ~$1,200 |
| ARR | ~$150K | ~$1.0M | ~$3.6M |
| Cost to serve | Low | Low | Low — usage-scaled SMS + hosting |
Pricing and multi-year figures are illustrative planning assumptions; actuals depend on the design-partner phase.
+The honest list — and what's already handled.
+Unregistered SMS gets filtered at scale. Mitigation: A2P 10DLC brand/campaign + Messaging Service — the code already prefers it; registration is the active pre-launch step.
SMBs won't do heavy setup. Mitigation: AI document import, self-serve setup wizard, calendar sync, and hands-on design-partner onboarding.
Reminder tools could copy it. Mitigation: the autonomous recovery loop + ROI framing is a real build lead; move fast on real customer proof.
Per-message cost eats margin if unmanaged. Mitigation: usage-scaled pricing, daily caps, and consent/quiet-hours gating already shipped.
A lean build that has already shipped what most plans only promise.
+The entire platform — the cascade engine, predictive Radar, auto-pilot, ROI dashboard, a native iOS app, compliance controls, and a deployed production system with 411 passing tests — is already built and live. Execution risk, the thing that sinks most early plans, is largely retired: the question isn't "can it be built?" but "how fast can we put it in front of customers?" The next investment attaches to go-to-market and customer success, not to proving the product works.
+Engineering is done. The next moves are go-to-market.
+It's live, it's tested, and it's one small step from its first paying customer.
+