Ai-Agents

Most AI collaboration fails at the purpose level, not the task level. AI assistants execute tasks with precision and generate goal-oriented content on demand, but they operate without access to why a task matters — the values, directions, and constraints that determine whether doing a task well actually serves the person asking. David Lockie’s Intent Stack (2026) proposes a remedy: a five-layer hierarchy that structures human intention as persistent, machine-readable context, making purpose as available to AI systems as task descriptions already are.

Research: Multi-Pass Processing and Context Engineering for AI Research Agent Reliability Date: 2026-03-10 Search queries used: “multi-pass processing AI research agents reliability” “context engineering LLM agents reliability 2025” “context engineering definition AI agents structured prompting” “multi-pass LLM reasoning iterative refinement research agent accuracy” “context rot LLM long context degradation attention mechanism 2024 2025” “Anthropic multi-agent research system how we built it 2025” Executive Summary Context engineering has emerged as the successor to prompt engineering for agentic AI systems: rather than crafting individual instructions, it involves curating what information enters a model’s bounded attention budget at each inference step. Multi-pass processing — iterative loops where agents revise, compress, or hand off context between inference calls — is the primary architectural mechanism …

Research: Context as Infrastructure in GenAI Collaboration Date: 2026-03-10 Search queries used: “context as infrastructure GenAI collaboration knowledge management” “context engineering LLM persistent context sessions AI workflow” “context window management AI collaboration professional knowledge workers designers” “"context as infrastructure" OR "contextual infrastructure" AI language model” “extended mind theory Andy Clark distributed cognition context AI collaboration philosophy” “knowledge work context continuity cross-session AI collaboration design strategy professionals” “context amnesia LLM stateless sessions professional knowledge workers continuity rituals artefacts” Executive Summary Context as infrastructure is the practice of treating the information that grounds an AI collaboration — sources, histories, constraints, domain knowledge, role definitions — as a maintained, …