A Sovereign Agent Governance Protocol for Deep-Water Workflows

Longform article reframing abstention (reject option / selective prediction) as product design, not model weakness. Covers coverage as a KPI, calibration as a prerequisite, threshold selection under review capacity and risk, queue/UX design for human-in-the-loop workflows, and anti-patterns that break safety in production.

💻 Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content 💻

Bilingual Codex skills for requirement discovery, AI workflows, and reusable project-management methods.

💻 Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content 💻

一个零码 , 低码 , AI的微服务接口编排 & 系统集成的强大编排平台，支持Http , Dubbo , WebService等协议的接口编排，支持通过Groovy , JavaScript , Python , C#等多种脚本语言来增强流程，支持使用MySQL，达梦等多种常见数据源。

Documentation-led human-in-the-loop workflow case study for decision support and Power Platform-style process automation.

A structured LLM persona for college admission workflows, including documentation and system prompt.

Guided fantasy character builder with rules-aware validation, exports, and optional local AI assist.

AI workflow state modelling, guardrails, and human-in-the-loop design patterns for SaaS platforms.

ai-workflows — Multi-step prompt systems for business, research, and creative work

A manual-first agent harness for leading Codex, Claude Code, and Antigravity with clearer requests, safer execution, visible verification, and operator-focused workflows.

Structured AIGC workflow notes for prompts, nodes, QA, and reusable output.

Clean up messy healthcare datasets with guided profiling, safer normalization, and optional local Ollama planning.

SaaS Automation Tool UX/UI Design

prompt-templates — Reusable templates for writing better prompts and workflows

Governance-first design tool for creating, analysing, and documenting AI-supported workflows with explicit human oversight and accountability.

Human–AI Ledger (HAIL): A Structured Workflow for Traceable, Reproducible Human–AI Collaboration. HAIL defines a structured, repeatable workflow for human–AI collaboration. Through standardized checkpoints and a session ledger, it is designed to document ethical, creative, and procedural context across both human and AI contributions.

Process mapping and analysis using Miro to design an AI-ready customer support framework, identifying automation opportunities and integration points for improved efficiency.

This project combines automation tools with the natural language understanding power of LLMs to handle restaurant calls and take orders automatically.