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AI Loop

4 articles · Page 1 of 1
Tech Architecture Stories
Tech Architecture Stories
Sep 24, 2026 · Artificial Intelligence

From Harness to Weights: Enterprise AI's Autonomous Intelligence Loop

The article analyzes how enterprise AI is evolving from external harness scaffolding to internalized model weights, forming a closed loop where harness strategies are validated in production, decision traces become private evaluation and post-training data, and stable behaviors are distilled into specialized model weights, as demonstrated by Harvey, Glean, Engram, Strands, NVIDIA×Palantir, and Grok 4.7.

AI LoopDecision TracesHarness Architecture
0 likes · 16 min read
From Harness to Weights: Enterprise AI's Autonomous Intelligence Loop
AI Architecture Hub
AI Architecture Hub
Jul 9, 2026 · Artificial Intelligence

Why Enterprise AI Loops Fail: Avoid Amplifying Process Chaos by Defining Goals, Evidence, and Permissions

The article analyzes why many enterprises’ AI Loop implementations amplify workflow chaos, presenting Deloitte survey data, a clear distinction between Agents and AI Loops, a five‑element engineering foundation, risk classifications, and a step‑by‑step, low‑risk rollout framework to ensure safe, measurable AI adoption.

AI EngineeringAI GovernanceAI Loop
0 likes · 13 min read
Why Enterprise AI Loops Fail: Avoid Amplifying Process Chaos by Defining Goals, Evidence, and Permissions
Architect
Architect
Jul 4, 2026 · Artificial Intelligence

Enterprise AI Loops: Define Goals, State, Evidence, Permissions, and Feedback First

To make AI loops work in an enterprise, you must first make the surrounding work system explicit by documenting five engineering objects—goal, state, evidence, permissions and feedback—so that loops run on low‑risk, verifiable paths before scaling to more complex automation.

AI LoopAgentWorkflow Automation
0 likes · 24 min read
Enterprise AI Loops: Define Goals, State, Evidence, Permissions, and Feedback First
DataFunTalk
DataFunTalk
Jun 26, 2026 · Artificial Intelligence

Why Prompts Are Obsolete and Loop Engineering Is the Next AI Paradigm

The article explains how the AI community is shifting from writing prompts to designing autonomous loops that iteratively execute, evaluate, and repeat tasks, detailing the technical differences from traditional agents, real‑world implementations like Claude Code and OpenAI Codex, and a step‑by‑step roadmap for building reliable loops.

AI LoopAgentHarness Engineering
0 likes · 13 min read
Why Prompts Are Obsolete and Loop Engineering Is the Next AI Paradigm