Agent Efficiency
Why Business Runtimes Can Reduce Agent Execution Overhead by 10×
Agents become dramatically more efficient when they call stable business capabilities instead of repeatedly reconstructing application context and code.
The cost is larger than model pricing
Agent cost includes repository reading, schema discovery, tool definitions, planning, generated code, test output, retries, and repair loops. A single business change may require the Agent to repeatedly load context that the company already knows.
Software reconstruction is expensive
When an Agent customizes a standalone application, it must infer architecture, locate the correct files, understand domain relationships, modify code, run tests, and recover from errors. The same business request may consume tens of thousands of tokens before any production state changes.
Business capabilities compress context
A runtime can expose compact, typed capabilities such as create_work_order, update_quote, schedule_visit, approve_discount, or install_workflow. The Agent no longer needs the full repository to perform routine work. It discovers the relevant command, supplies structured input, and receives a bounded result.
Where order-of-magnitude gains come from
The largest gains appear when a repository-wide engineering task becomes a governed configuration or command task. Fewer files are read, fewer alternatives are explored, fewer tests are generated, and fewer repair loops occur. For supported operations, Runory targets order-of-magnitude reductions in context and execution overhead.
What should be measured
A credible benchmark should compare token usage, Agent turns, elapsed time, files changed, retries, failure rate, and audit completeness for the same business outcome. Runory should publish measured results rather than treating 10× as a universal promise.
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Prove it in a real workflow
Start with one priority business workflow.
Validate the Agent, business data, permissions, workflow, and execution loop in 1–2 weeks.