Running Runta as a service, AI Evaluation Observability

Runta Agency Implementation, Harness Selection & Cost Optimization

Learn how to position Runta's standardized benchmarking as a productized service for clients evaluating AI code harnesses. This course teaches agencies to run 360-trial evaluations, interpret pass rate and cost-per-task metrics, and deliver objective harness recommendations that justify deployment decisions and reduce production risk.

Open the decision record for Runta

What it commits you to

Published figures for this service. Blank fields are not published.

Monthly tool cost: Not published - Runta offers $100 in credits to test your own harness, but no pricing tiers are disclosed.
Time to first value: Not published
Payback: Not modeled
Guided implementation: 8 hours

Assessment

Evidence supports Runta as a rigorous benchmarking tool for AI code harnesses, suitable for agencies with technical expertise. No pricing or ROI data is published, so client-facing profitability remains unverified.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

Runta account
AI code harness configurations (e.g., Codex, Claude Code)
Standardized software engineering task set
Runtime environment setup (vCPU, memory, disk settings)

People and inputs

Technical documentation on harness setup
Team familiarity with AI coding agents and benchmarking methodology
Process for managing $100 in credits (if applicable)

Included with the course

6 working documents for delivering this service.

Harness Evaluation Proposal Templatetemplate
Cold-Start Benchmarking Setup Checklistchecklist
Pass Rate vs. Cost Trade-Off Worksheetworksheet
Benchmark Report Delivery SOPsop
Harness Selection Decision Frameworkguide
Cache Hit Rate Analysis for Client Budgetsworksheet

Listed by name. These documents are not yet published as individual downloads.