Sub-agent Orchestratorv1.0.1

A company needs a comprehensive market research report involving multiple web fetches, data analysis, and structured writing. The sub-agent orchestrator spawns a sub-agent to handle the heavy research task, keeping the main session lightweight and efficient.

A content agency needs to produce multiple long-form articles with web research and SEO optimization. The orchestrator delegates each article to a sub-agent, which researches, writes, and saves the output, while the main session coordinates and reviews.

A development team needs to implement a feature involving multiple files and tests. The sub-agent handles the coding, running tests, and fixing issues, while the main session manages the overall progress and integration.

A finance department needs to analyze large datasets, generate charts, and produce a report. The sub-agent processes the data, calls APIs for financial data, and generates the final report, reducing the main session's context load.

A law firm needs to review multiple legal documents, extract key points, and summarize them. The sub-agent reads the documents, performs analysis, and outputs structured summaries, while the main session coordinates the overall case management.

An AI agency offers services like content creation, research, and data analysis to clients. The orchestrator allows them to handle multiple projects simultaneously, scaling efficiently without increasing main-session costs.

A platform charges users for each task completed by sub-agents, such as generating a market report or writing an article. Users pay per use, and the platform profits from the margin between cost and selling price.

A company uses the orchestrator internally to automate heavy tasks, reducing time and token consumption. The business model is about operational cost reduction, enabling faster turnaround and potentially handling more clients without extra hires.