Overview / Description
The Claude Advisor tool introduces a unique way to interact with Anthropic's AI models, allowing users to create powerful multi-agent systems. This innovative setup pairs Claude Opus, acting as a strategic advisor, with either Claude Sonnet or Claude Haiku, which serve as the executors. Essentially, Opus formulates high-level strategies, provides guidance, and offers expert opinions, while Sonnet or Haiku then take those directives and carry out the specific tasks or generate the detailed outputs. This architecture enables users to simulate complex workflows, where one AI model plans and another executes, mirroring a collaborative team dynamic.
Users can apply the Claude Advisor tool to a variety of intricate challenges. For instance, Opus might outline a comprehensive content marketing strategy, detailing target audiences, key messages, and distribution channels. Subsequently, Sonnet or Haiku would then draft blog posts, social media updates, or email copy, adhering strictly to Opus's strategic framework. This method helps break down complex problems into manageable, role-based segments, leading to more structured and coherent AI-generated results. It's particularly useful for de
Used For
Build multi-agent AI systems by pairing Claude Opus with Sonnet or Haiku.
Pricing
Pay-as-you-go
Usage is billed through your Anthropic account. Visit claude.com for current model pricing.
Pros & Cons
Pros
• Pairs Claude Opus as a strategic advisor with Sonnet or Haiku for efficient, role-separated task execution • Reduces API cost by using Opus only for high-level planning and delegating execution to lighter models • Enables complex multi-step workflows where strategic planning and detailed execution are clearly separated • No external tooling required — implemented entirely within Anthropic's Claude interface using Projects • Replicates a real team dynamic where a senior strategist directs junior executors at scale
Cons
• Requires users to manually orchestrate the multi-agent setup — no automated handoff between models • Opus-level planning costs can accumulate quickly in high-volume or automated pipeline workflows • No persistent memory between sessions without external tooling to store and relay prior context
Questions & Answers
Alternatives
Compare this tool against close alternatives in the same category, focusing on output quality, onboarding speed, and workflow fit.