Tooling
Production Agentic Systems Require Context Layers Before Model Selection
Teams building multi-agent systems should prioritize topology, context layers, and guardrails over LLM choice. Sequential and parallel agent workflows solve different problems—and production systems need both.
1 min read
Sourcer/ai-agents
The conventional wisdom in agentic AI is backwards. Most teams start by picking an LLM, then bolt agents onto it, then wonder why their system fails in production. The correct order is the inverse: topology first, safety infrastructure second, then LLMs.
This architectural principle emerged from [a...
Sign in to read the full analysis
Free — just an email. Get full analysis on LLM unit economics, plus the weekly Cost-of-Inference column.
Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- r/ai-agents
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai