Selective Specialization How To Architect Agents That Hold Up In Production
- Source
- elevenlabs.io
- Author
- ElevenLabs editorial sitemap
- Date
Context
Splitting a voice into specialists can create errors when each specialist sees only part of a conversation. ElevenLabs' architecture guide illustrates this with a hypothetical negotiation agent offering terms that a separate compliance agent would reject. Its recommendation is to keep the live conversation in one continuous and consult checks or account lookups before making commitments.
Independent work offers a stronger case for multiple agents. Separate reviewers can assess completed call transcripts for different quality criteria without interrupting a caller. The guide therefore recommends dividing work according to its dependencies: preserve shared context for tightly connected decisions, and specialize where tasks can proceed independently.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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