SYSTEMshift

2025

Human2AI.ca Transform Your Data Into APIs

ai-platform data-to-api schema-org low-code mcp qr-endpoint small-business ux-strategy product-lifecycle

My Contributions

Product strategy & pricing · IBM lifecycle orchestration · Information architecture · UX flows & UI design · Prompt/guardrail design · Data model & schema strategy · MVP delivery & QA · GTM (PH, creator outreach) · Legal & compliance copy v1

Sponsor Users

Sponsor users across cafés, trades, creators, genealogy.

Product Design Team

Founder‑led build with targeted collaborators (contract dev, design QA, security review).

About the Project

Human2AI.ca converts photos, PDFs, and pasted text into schema-aligned JSON you can publish as an endpoint, a QR code, or a website embed. The same endpoint is agent-ready via MCP.

How it works

  • Ingest: snap a photo, upload a file, paste text, or import CSV.

  • Map: AI suggests schema types such as Menu, Product, Person, or Offer.

  • Review: human verification with PII scan and field-visibility controls.

  • Publish: one click to create a public endpoint with QR and optional embed.

  • Reuse: agents and apps consume the same canonical JSON with versioning.

Safety and trust

  • PII flags and allow-listed schemas; no fabrication.

  • Preview before publish, change history, and last-updated stamps.

  • Status visibility and SLO targets during qualify and launch.

Where it fits

  • Cafés and takeout menus with daily specials.

  • Trades and services quoting tables and inventory lookups.

  • Creators and freelancers with resume and portfolio endpoints.

  • Community projects such as genealogy datasets and local directories.

Results

  • Faster time-to-API and fewer manual errors than spreadsheet-driven workflows.

  • Single source of truth reused across sites, QR, and agents.

  • Lower setup and maintenance overhead for non-technical teams.

Challenge

Small orgs and solo operators have valuable data locked in images, PDFs, and ad‑hoc spreadsheets. They need a way to:

  • publish that data as structured JSON fast,

  • keep it updated (without devs),

  • and make it consumable by agents, search, and embeds safely (PII checks, visibility toggles).

Existing options (custom dev, heavyweight CMS, iPaaS) are too costly or complex for day‑one adoption.

Solution

A no‑code ingestion → mapping → publish pipeline:

  • Ingest: Snap a photo / upload file / paste text / import CSV.

  • Map: AI maps to schema.org‑inspired types (e.g., Menu, Product, Person, Offer).

  • Validate: Human review with PII scan & visibility toggles (public/private, masked fields).

  • Publish: Neon (Postgres) stores canonical JSON; public endpoint + QR; MCP‑friendly API for agents; lightweight embed for websites.

  • Operate: Stripe tiers (Free → Creator → Business), dataset add‑ons, audit logs (phase‑in), analytics (scans, calls).

Stack (MVP): React + Tailwind + shadcn, Neon/Postgres, Cloudinary (images), Stripe Billing, OpenAI, Replit Agents/CI, Model Context Protocol (MCP) integration, JSON‑LD export.

Impact

‹ Omas Gegen Rechts - Chatbot

From Spreadsheets to Smart Systems – A Garage Door Service Transformation ›