A multi-agent orchestration system routes diverse incoming requests to the right specialist and then executes each as a multi-step agentic task. The mistake most teams make is using one framework for both jobs and getting the worst of each. This is Part 4 of The Token Scarcity Playbook — assembling routing (Part 1), model-agnostic design (Part 2), and the right harness (Part 3) into one production system. "AgentCore is the execution environment; the framework is the orchestra

An agent framework is the harness that orchestrates a model's reasoning, tool calls, state, and multi-agent coordination. This is Part 3 of The Token Scarcity Playbook — a technical comparison of the major frameworks built so you can score them against your own needs. It centers on a decision matrix rated on the criteria that actually drive selection — ease of use, multi-agent orchestration, model-agnostic capability, AWS-service and Amazon Bedrock AgentCore integration (incl

A model-agnostic application is one you can move from one model to another — to capture a cheaper option or route per task — without rewriting logic or shipping silent regressions. Routing (Part 1) only pays off if your system survives the swaps. This is Part 2 of The Token Scarcity Playbook. "The schema is the contract; the model is an implementation detail." Table of Contents Why model swaps break things Designing for agnosticism Grouping models into tiers The benchmarks th

Model routing is the practice of sending each request to the cheapest model that can actually handle it, instead of defaulting every task to the flagship. It is the single largest cost lever in the token scarcity era — and, done well, it improves quality and cost at the same time. This is Part 1 of The Token Scarcity Playbook. "The insight isn't that the cheap model beat the flagship. It's that routing beat brute force." Table of Contents The four approaches to routing Cascad