AI pipelines, canvas editors, voice assistants, and distributed systems — built by the founding developers behind every ProductQuant sprint.
One click from any retailer URL to a structured product card. Firecrawl + OpenAI structured outputs, Fabric.js canvas editor with 16-handler orchestration, and 14+ custom object types.
Voice + vision assistant that hears requests, sees clothing, and recommends outfits. Three AI models orchestrated: OpenAI STT/TTS, YOLO detection, LLM reasoning — all in a single real-time session.
Multi-format AI content generation pipeline. Research brief to published CMS post — blog, case study, documentation, or landing page — generated via OpenAI/Anthropic/Ollama with vector search and WordPress REST API deployment.
Tool-calling AI assistant embedded inside a Fabric.js canvas editor. 12 domain-specific tools, SSE streaming, windowed context management, and undo-integrated response layer for product design workflows.
Multi-format document ingestion with AI classification, OCR field extraction, human review queue, and full audit trail. Processes 6 document formats with 97% field extraction accuracy.
Project-scoped AI conversations with persistent .session SQLite files in Drive-backed storage. 6 API endpoints, multi-project isolation, zero-infrastructure persistence layer.
Unified integration layer connecting AI workspaces to 8 messaging platforms — Telegram, WhatsApp, Slack, Discord, Signal, Matrix, Teams. Pluggable adapter pattern, <2s delivery.
Fixed-price sprints. Documented, tested, and deployed. You review milestones, we handle the build.