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Let's build AI apps with AI

Oridecon Labs is a one-person AI studio: a human sets the specs, coding agents like Claude Code do the typing. Everything ships on QuadKit — our open-source Python framework built for agents — backed by 40+ in-house packages, ready to power our products.

THE FRAMEWORK

Our tool: the QuadKit framework

QuadKit is our open-source Python framework for AI backends — async-first, contract-driven, and built so a coding agent can operate it end to end: 590+ typed protocols, 240+ error codes, one explicit boot graph.

Every Oridecon Labs project runs on it — it is the foundation under everything you'll see below.

v0.0.4 590+ protocols 13 published packages 80%+ test coverage Apache 2.0

GET STARTED

Two doors into QuadKit

Start from the terminal with your coding agent, or compose visually on the canvas — both produce a real, standalone QuadKit project.

FROM THE TERMINAL

01 Build with your coding agent

A Python backend an LLM can actually operate: 590+ protocols, 240+ error codes, an explicit boot graph, and docs that ship in the format agents already fetch. Not autocomplete — build.

agent session — zsh
$ curl -s oridecon.dev/llms.txt
# async-first, contract-driven framework — alpha 0.0.x
$ quadkit new project my-app # --template api|minimal
✓ scaffolded my-app/ — domains/, di/, controllers/
agent loaded the playbook — layers, providers, Result[T, E]
agent added a feature under domains/orders
linter ✓ contracts only — no cross-extension imports
$
or

FROM THE CANVAS

02 Drag, wire, start

A visual node-canvas app builder, built with QuadKit itself. Compose QuadKit applications by dragging nodes and wiring typed edges — then generate a real, standalone project with one click.

No signup required. The canvas graph is the source of truth — one-way codegen produces a complete QuadKit project.

QuadKit Playground — visual node-canvas app builder
Bootstrap prompt — paste into your agent

I'm building a Python backend with the QuadKit framework. First read https://oridecon.dev/agents.md and follow it as your operating manual, then help me scaffold the project and build my feature.

QuadKit never duplicates its rules. One sentence, one URL: the operating manual is oridecon.dev/agents.md.

FROM OUR LABS

Products ready to scale

Built with Claude Code + QuadKit

One developer, one framework, unlimited possibilities — each proving a real market with QuadKit's composable contracts. Interested in pushing any of these further? Have an MVP in mind? Let's build it.

40+ private in-house packages ready to power every Oridecon Labs project. See their examples in Extended Examples.

SAAS

Muralla · operator console

Status: MVP

Codename: Muralla

AI API Gateway

Every AI team wires providers differently — OpenAI here, Anthropic there, Gemini somewhere else. Each has its own auth, rate limits, error shapes, and billing. Muralla collapses that chaos into one OpenAI-compatible endpoint with intelligent failover across 17 providers, per-model quota enforcement, and a 10-stage relay pipeline that handles governance, cost tracking, and streaming — so your app talks to one API and everything else is the gateway's problem.

17provider adaptors
10relay stages
145API routes
22console pages

What's built

  • Byte-exact OpenAI-compatible API — drop-in replacement for any OpenAI SDK client
  • 10-stage relay pipeline — guards, governance, channel selection, protocol conversion, cost tracking, billing
  • Circuit-breaker failover — 3 retry attempts across priority-weighted channels with health tracking
  • Stripe billing — pre-consume quota check, post-relay settlement, subscription and top-up flows
  • React 19 operator console — channels, models, users, tokens, governance, playground, audit

What's next

  • Public AI-API resale storefront — tiered subscriptions, per-request markup
  • Enterprise — dedicated instances, SLA, SSO, RBAC
  • Multi-region deployment with cross-region failover
  • Model fallback chains with quality scoring
  • Provider rate-limit autoscaling

12 in-house QuadKit packages

quadkit-web quadkit-contracts quadkit-http quadkit-auth quadkit-monitor quadkit-tasks
Private · in-house
EVERYDAY AI APP

Cinerama · episode timeline

Status: MVP

Codename: Cinerama

AI Continuous Movie Series Production

The hard part of AI video isn't any single model — it's coordinating them. A script needs an LLM, storyboards need diffusion, scenes need video generation, dialogue needs TTS. Cinerama wires these into a DAG workflow: feed it a novel script, and autonomous agents plan episodes, generate keyframes, compose video, and mix neural audio — outputting rendered episodes with cross-episode character and style consistency. The workflow engine IS the product.

11pipeline agents
17media adaptors

What's built

  • Full AIGC pipeline — novel script to exported video episode via LLM + diffusion + video + TTS
  • Cross-episode character consistency — characters persist across episodes with appearance tracking
  • Style lock — visual style enforced per series for continuity
  • DAG workflow engine — checkpoint/resume, conditional routing, saga compensation
  • 17 media adaptors via Registry — swap image/video/TTS providers without code changes
  • All generation delegated to Muralla — single gateway, zero provider SDKs in the app

What's next

  • Self-hosted inference — openweight engines for video, audio, and diffusion
  • Marketplace for agent workflows and templates
  • Cloud rendering with usage-based billing
  • White-label licensing for production studios
  • API access for third-party integrations

22 in-house QuadKit packages

quadkit-sql quadkit-cache quadkit-http quadkit-storage quadkit-events quadkit-tasks
Private · in-house

Piccolina · brand

Status: MVP

Codename: Piccolina

AI Pet Wellness

Pet owners Google symptoms at 2am and get conflicting advice from blogs, forums, and AI hallucinations. The real problem is information asymmetry — they don't know what they don't know. Piccolina closes that gap: describe symptoms or snap a photo, get a RAG-backed analysis from a curated veterinary knowledge base with urgency scoring, care plans, and breed-specific warnings — in 30 seconds, not 3 days.

6analysis stages
673+PH vet clinics mapped
40+in-house packages

What's built

  • 6-stage AI analysis pipeline — intake, parallel RAG retrieval, temporal health context, LLM analysis, enrichment
  • Multi-query RAG — symptoms + breed predispositions + urgency + patient history, deduplicated and scored
  • PostGIS vet discovery — 673+ Philippine clinics sorted by distance and emergency capability
  • Community feed — location-aware posts with AI wellness summaries, rescue alerts, smart matching
  • Temporal health context — longitudinal pet health tracking with activity logs, milestones, wellness scores

What's next

  • Freemium — basic analysis free, premium per pet/month
  • Vet clinic SaaS dashboard — subscription per clinic
  • Insurance partner integrations — referral fees
  • Telehealth consultations — per-visit billing
  • Wearable device partnerships — revenue share
  • More country mapping — expanding beyond Philippines

40+ in-house QuadKit packages

quadkit-contracts quadkit-storage quadkit-events quadkit-web quadkit-sql quadkit-cache
Try it live

...and more projects being tested.

THE VISION

The full AI friendly web stack

Open-core QuadKit framework, in-house packages. Running in production on our own products.

Let's build something together. Get in touch.