AI workflow / agent / automation hub

FlowForAI

Workflow infrastructure for AI products

Explore four documented AI products spanning agents, 3D, private archives, and local image generation.

Explore Projects Contact
01
Ideas

Problems, evidence, and product goals

02
Workflows

Tools, models, interfaces, and validation

03
Delivery

Cases, demos, documentation, and releases

Cases 4 documented
Languages EN + 繁中
API Planned

Four documented projects

Four applied AI products, documented from method to delivery.

Multimodal agent · OpenAI Build Week

Hermes Live Companion

A human-governed companion that brings voice, vision, memory, tools, and interruption control into one local experience.

8h 46mactive development 20development commands 13commits to MVP
Explore the case study →
Hermes Live Companion project title card

Photo to 3D · Three.js / GLB

Three-View Basketball Builder

A repeatable workflow that turns front, side, and back product images into a PBR 3D object with transparent QA and a downloadable public GLB.

3photo views 167spublic demo run 48,864triangles
Open the interactive case →
Unbranded purple, green, and coral basketball reconstructed from three views

Local-first archive · Windows / SQLite

Offline Family Photo Library

A private-by-design portable photo system that keeps original files local while adding fast browsing, search, metadata, deduplication, backups, and optional AI suggestions.

25,932catalog entries 22,942distinct assets 3 / 3readable sources
Explore the private-by-design case →
Privacy-safe Family Photos browser with generic nature demo images

Local AI image studio · React / FastAPI

Z-Image-Turbo-Next

A maintainable local creative workspace for six image-generation modes, persistent story batches, explicit resource control, and rollback-ready releases.

24hdevelopment time 55 + 33Python tests + subtests 6generation modes
Explore the local-first case →
Empty Z-Image-Turbo-Next creation workspace with no private project data

What it is

A home base for practical AI products.

FlowForAI is a growing home for shipped AI workflows, transparent case evidence, interactive demos, implementation notes, and future API entry points.

Build

Workflow-first creation

Turn ideas into structured AI workflows that are easier to test, reuse, and ship.

Connect

Agent-ready integrations

Bring prompts, tools, APIs, and product logic into one clean operating surface.

Deploy

From demo to product

Publish experiments, docs, and future API access from a single product hub.

Use cases

Designed for builders moving from prototype to launch.

AI agent demos

Showcase live experiments, internal tools, and product prototypes.

Automation workflows

Connect repetitive tasks into reliable, reusable AI-powered flows.

Developer docs

Host guides, examples, changelogs, and technical notes for future users.

API gateway

Create a clear entry point for upcoming endpoints and integrations.

Product roadmap

Growing from case library to reusable platform.

Four bilingual cases now document distinct product workflows. The next stage turns reusable methods into shared demos and technical documentation before opening API access.

Now

Four-case library

Maintain four bilingual cases with verified evidence, privacy boundaries, and preview-first releases.

Next

Reusable demos and guides

Extract shared validation tools, interactive demos, and implementation guides from shipped work.

Later

Docs and API

Open structured developer documentation and carefully scoped integration endpoints.