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Educational articles on multi-agent failure attribution, LLM evaluation architecture, and debugging patterns.
foundations
The Core Principles of ProveAI Origin
Seven design principles — not features, not capabilities, but the beliefs that determine how ProveAI Origin makes hard product decisions.
What Are Agent Traces?
From OpenTelemetry's HTTP roots to LLM span DAGs — a complete history of distributed tracing and where gen-ai observability is heading.
architecture
A Guided Tour of Multi-Agent Architectures
Single-agent to hierarchical swarms — every major multi-agent pattern, its trace shape, where it shines, and where it breaks.
Agent Frameworks and Best-Practice Architectures
LangGraph, AutoGen, CrewAI, LlamaIndex Agents, Smolagents — when to pick each, and the framework-agnostic principles that outlast all of them.
failures
Agentic Coding and Why It Can't Catch Its Own Failures
Cursor, Devin, Claude Code, Codex CLI — what agentic coding tools are, why they're structurally blind to their own failures, and what the missing layer is.
Common Failure Modes in Multi-Agent Systems
The complete TRAIL taxonomy of 14 failure categories — with span-level signatures, real-world examples, and which architectures are most prone to each.