Agents & apps

A calm spaced-repetition queue paired with private, on-device AI explanations: when a card keeps failing, the app explains it instead of just rescheduling it. No account, no ads, no tracking, no subscription.

The backlog problem gets its own design: instead of the guilt-wall of 400 due cards, Quiet Recall offers a five-minute recovery session that records normal reviews and leaves the rest for later.

Shipped through 1.2 with two rounds of App Store screenshot and ASO iteration, all run from a metadata-as-code directory in the repo.

Clipboard history that understands what it holds: links, code, colors and text are typed and searchable, sensitive entries live in a biometric-gated vault that renders as dots everywhere else.

The real engineering is the surface area: one shared core feeding six targets. The iOS app, a custom keyboard, Safari and share extensions, an action extension, and a Mac companion all have to agree about typing, dedup and vault rules.

Speak, and get organized notes back: Whisper and GPT-4o transcription, AI summaries, and Qdrant vector search across everything you've ever said. Spanish translation built in.

The backend is the interesting half: audio processing runs serverless on Modal, and Langfuse tracing plus Sentry were wired in from day one, so every transcription is a traced, debuggable pipeline run instead of a black box.

For solo mobile detailers: one job records the customer and vehicle, before-evidence, service scope and visible condition marks, then aligned after-evidence and a reviewable completion proof to hand the customer.

Local-first, with a complete manual fallback for every capture step: scan, alignment and AI assists are conveniences, never requirements. It sells a factual handoff, not a legal damage inspection.

The 1.0 cut was ruthless on purpose: 28 features kept, 29 deferred, frozen in a launch-cut manifest so scope creep had to argue with a file, not a feeling.

Voice-first estimating for residential painters: walk a bedroom saying "two coats on these walls, repair three holes, exclude the ceiling" and watch it become catalog-backed line items and a Good/Better/Best quote.

The AI boundary is the product: the model structures spoken scope and maps it to the painter's own deterministic price catalog, but it never invents dimensions, labor rates, coverage, taxes or a final price. Pricing judgment stays with the human.

Event teams collect contact details but lose the conversation: the objection, the team size, the promised follow-up. EventLead pairs a badge or card scan with a ten-second voice note and structures it into the user's own qualification fields.

Follow-ups get scheduled before the next attendee arrives, and the pipeline exports as clean CSV and vCard. Speech and AI are capability-gated: manual entry and typed notes keep the app complete without them.