Tagged articles

action contracts

4 articles · Page 1 of 1

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

Data Bricklaying Diary

Sep 15, 2026 · Backend Development

Beyond 'Everything Is a Plugin': Defining Production Responsibility in Agent Harness

The article argues that a composable agent runtime alone is insufficient for production; it requires action contracts for external side effects, version binding with impact analysis, and independent audit evidence for task completion, with clear responsibility boundaries across runtime, plugins, action gateways, and human operators.

Agent Runtimeaction contractsaudit evidence

0 likes · 18 min read

Beyond 'Everything Is a Plugin': Defining Production Responsibility in Agent Harness

Data Bricklaying Diary

Aug 31, 2026 · Backend Development

Building a Semantic Platform Without Palantir: Start with a Minimal Runnable Loop

Enterprises can build a semantic platform without Palantir by establishing a minimal runnable loop—business semantics, data evidence, fact projection, rules, controlled actions, and auditing—instead of merely copying Palantir's Object Type, Link, and Action concepts.

Data ArchitecturePalantirSemantic Platform

0 likes · 24 min read

Building a Semantic Platform Without Palantir: Start with a Minimal Runnable Loop

Data Bricklaying Diary

Aug 6, 2026 · Artificial Intelligence

From Ontology Semantics to Ontology Intelligence: Why Understanding Business ≠ Driving It

The article distinguishes ontology semantics (AI understanding business objects, states, rules) from ontology intelligence (explainable decisions, contract-constrained actions, auditable loops), outlining seven engineering capabilities needed to close the loop and emphasizing a minimal viable loop around high-value decisions.

Agent RuntimeAgent architectureDecision Layer

0 likes · 16 min read

From Ontology Semantics to Ontology Intelligence: Why Understanding Business ≠ Driving It