Online booking, automated client emails and a studio back office that replaced Instagram DMs and a paper calendar for a working Vancouver salon.

• Booking and slot engine: Clients pick services, add-ons and retail products, then a time, with no account needed. Availability is calculated in the studio's time zone on a 30-minute grid. It accounts for weekly hours, holidays, recurring closures and "by appointment" days, and adds up the length of every service and add-on in the booking.
• Guest-to-customer CRM: Public bookings stay guest requests until the stylist confirms them, then link to a client record found by normalized email. This keeps no-shows and typos out of the client list. Duplicate clients can be merged, which combines their extra emails, phone numbers and outstanding balances.
• Automated email lifecycle: Booking requests, confirmations, pre-visit reminders, aftercare tips, and rebooking nudges at several intervals with a recommended next service. A background worker sends them on schedule. The stylist edits every template with a live preview. Calendar invites and the subscribable feed update the same event when an appointment changes.
• Inventory and analytics: Retail and supply stock is tracked in purchase batches with their real cost, so every product sale shows its profit. Supplies are logged per appointment, and low stock is flagged. A Recharts dashboard shows revenue by day and by service, average booking value, new clients and cancellations.
• Security and privacy: The stylist's dashboard sits behind bcrypt password login and JWT sessions, and every input is validated with Zod. Each booking records when the client consented, along with the exact privacy, terms and cancellation policy URLs they agreed to. Clients can cancel themselves through an unguessable link in their emails.
• You can find these features and more in the live demo.

A freight operations system where a website inquiry becomes a routed job and walks an eleven-stage shipment pipeline.

• Lead ingestion: Website contact forms webhook into the API and become job records, with a triage fallback so an unmatched lead reaches a human instead of being dropped.
• Location standardization: Google Geocoding turns free-text origin and destination into structured city, province and country before anything else touches the job.
• Routing engine: Origin-based assignment resolves the owning agent from priority and exclusion rules, with a sentinel for leads no rule claims.
• Stage engine: Eleven stages driven by a code-defined step catalog, with promotion steps, per-service sequences, and blocked/cancelled as orthogonal flags.
• Quoting: Branded quote builder with drafts, Gmail delivery, and a public token page where clients accept without creating an account or seeing internal cost.
• Shared inbox: Gmail synchronizes on a five-minute cron, deduplicated on RFC Message-ID and mapped to per-user threads linked back to jobs and clients.
• Document correlation: An opaque correlation token is handed to an external paperwork portal, which webhooks on completion and advances the job automatically.
• Admin console: Users, invites, services, carriers, rates, routing rules, task templates and board scope, all behind role guards.

A shipment intake and e-signature product that owns the whole document lifecycle: collect, encrypt, consent, sign, seal, notify.

• Ten-step intake wizard: Drafts persist as structured JSON with a file-reference map; shipping type decides which sections appear, and progress survives across sessions and form versions.
• Encrypted uploads: Identity and cargo documents are written to disk under AES-256-GCM, never stored as plaintext at rest.
• First-party e-signature: Electronic consent, a drawn signature, a SHA-256 content hash, an audit trail and an optional PAdES organizational seal, built rather than embedded from a vendor.
• Master PDF pipeline: Manifest, insurance, terms, attachments and an audit page are flattened server-side into one signed document.
• Amendments, not edits: Amending copies the form data and ciphertext into a new draft linked to the original, so a signed package is never edited in place. The one exception is an admin reverting a submission to draft.
• Delivery surfaces: SMTP to the customer and assigned staff, an optional CRM webhook with retries, and a key-authenticated delivery API with time-limited signed links.
• Domain rules: NHTSA VIN decoding with a 24-hour cache and a hand-written Canadian export HS code helper: the parts that make it freight software rather than a form.
• Admin operations console: Paginated, searchable review of drafts and submissions, plus user management, admin assignment and account pausing.

A chat-driven forecasting agent that turns a conversation into finance-ready Excel workbooks and charts.

• Conversational intake: New forecasts and monthly updates are walked by a step-per-handler state machine: each handler collects one thing and returns the handler for the next turn.
• Language understanding: Azure OpenAI handles intent classification and structured extraction from free text, and nothing else.
• Deterministic forecast engine: Working days, labour hours and costs are computed in code, with an actuals-based correction factor capped at ±25%.
• Excel generation: Cost-based and hours-based templates filled cell-by-cell from the forecast model, so the output matches the workbook shape stakeholders already read.
• Forecast visualizations: Labour, fixed-cost, variance and top-cost charts rendered and returned as attachments inside the chat.
• Reference data layer: Team rosters, project-number mappings, rates and BC statutory holidays sit behind a data-collection agent rather than being read ad hoc.
• Project persistence & locking: Forecasts persist per project number with an in-process lock, so two simultaneous conversations cannot edit the same project.
• Monthly updates: A second flow takes uploaded actuals (CSV or Excel) and monthly fixed costs for a saved project and regenerates the forecast and files from them.

A community events app where the mobile client behaves like a real participant in a distributed system, not a set of screens calling HTTP.

• Event discovery: Search and browse with optional geo distance sorting, backed by detail pages for events, memberships and vendors.
• Layered data architecture: Every feature domain follows one shape: an abstract API, an HTTP implementation, a local store, and a repository that chooses between them.
• Configurable fetch policies: A repository-level policy (cache-first, API-first, API-only) with a thirty-minute staleness window, so each screen picks its own freshness-versus-cost trade-off.
• Startup prewarming: Events and memberships are warmed at launch so the Explore tabs have content the moment they open.
• Dependency injection: A single composition root registers the whole object graph; screens resolve a repository instead of constructing an HTTP client.
• Session management: Identity bearer tokens in secure storage, refreshed with an expiry buffer and injected into authenticated clients by the data layer.
• Wallet and bookmarks: Saved events and bookmarks write through the user endpoint and read back from the local cache.
• Offline-tolerant reads: A failed network call falls back to the local store rather than an error screen.

A gateway that owns identity, API keys and metering in front of a self-hosted language model.

• Gateway pattern: Model requests go through the Node gateway, which checks the caller's key, counts the call and forwards it with the server's own inference key.
• Two authentication models: httpOnly JWT access and refresh cookies protect the account, prompt and admin routes; a hashed bearer API key protects the model endpoint.
• Self-hosted inference: A FastAPI service loads SmolLM2-1.7B-Instruct through Hugging Face Transformers, with GPU/CPU device fallback and an instruct chat template.
• Usage metering: Successful model calls are counted per user, and every signed-in request per endpoint and user, with database-level upserts rather than read-modify-write.
• Saved prompt library: Create, edit and delete saved prompts, with ownership checks on every mutation.
• Admin observability: An auto-refreshing dashboard of users, per-endpoint call volume and per-user totals.
• Documented API: OpenAPI and a hosted Swagger UI, so the contract is a document instead of a guess.
• Containerized stack: Docker Compose brings up the gateway and PostgreSQL together; the inference service runs separately on its own host.