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AI agent governance

4 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Oct 9, 2026 · Artificial Intelligence

Beyond Tool Calls: FDE's Responsibility Chain for Production AI Agents

This article details FDE's framework for integrating AI agents into enterprise workflows, covering identity delegation, data egress inventories, action control with six record types, evidence binding across trace and audit layers, failure handling with four exception-path questions, compliance checkpoints embedded in state transitions, a five-party responsibility model, and ten required security deliverables.

AI agent governanceaction contractsaudit trails
0 likes · 26 min read
Beyond Tool Calls: FDE's Responsibility Chain for Production AI Agents
AI Architecture Path
AI Architecture Path
Sep 10, 2026 · Artificial Intelligence

Tencent's teamai-cli: One Git Repo to Rule 20+ AI Coding Assistants

Tencent's open-source teamai-cli solves fragmented AI coding assistant configurations by using a shared Git repository to distribute skills, rules, MCP configs, and hooks across 20+ tools like Cursor and Claude Code, enabling Git-native collaboration, automatic friction-based knowledge capture, and code knowledge graph retrieval for team-wide AI governance.

AI agent governanceAI coding assistantsConfiguration Management
0 likes · 17 min read
Tencent's teamai-cli: One Git Repo to Rule 20+ AI Coding Assistants
Data Bricklaying Diary
Data Bricklaying Diary
Jul 4, 2026 · Industry Insights

Why Judicial Semantic AI Platforms Must Start with a Single Case Pilot

The article argues that judicial semantic intelligence platforms should avoid full-scale initial deployment and instead begin with a pilot on a single case type to define clear data, metric, permission, and AI agent boundaries, run a verifiable closed loop, and then expand by reusing semantic models across case types, execution domains, and management dashboards.

AI agent governanceSemantic Platformboundary definition
0 likes · 14 min read
Why Judicial Semantic AI Platforms Must Start with a Single Case Pilot
Architect
Architect
May 31, 2026 · Artificial Intelligence

Why Automating Low‑Quality Workflows with Hermes Agent Can Backfire

The article dissects Hermes Agent’s four‑layer architecture, warns that automating sloppy processes merely amplifies their flaws, and outlines practical governance steps—including stable input, output handling, failure logging, approval boundaries, memory budgeting, skill lifecycle, and self‑evolution evidence—to keep long‑running agents reliable and maintainable.

AI agent governanceAutomation RisksHermes Agent
0 likes · 21 min read
Why Automating Low‑Quality Workflows with Hermes Agent Can Backfire