Running Supabase as a service, AI Infrastructure

Supabase Evals Agency Implementation, Validating AI Agents for Client Delivery

Learn how to use Supabase Evals to benchmark and validate AI agents before deploying them to clients. This course teaches agencies how to set up realistic testing environments, compare model performance across build, deploy, investigate, and resolve tasks, and use hybrid scoring to ensure agent reliability in production.

Open the decision record for Supabase

What does running Supabase for clients commit you to?

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

Monthly tool cost
Free tier available; paid plans start at $25/month (from pricing_tiers)
Time to first value
Not published
Payback
Not modeled
Guided implementation
8 hours

Is Supabase worth running as a client service?

Supabase Evals provides a robust benchmarking framework, but its value depends on client demand for AI agent evaluation. Agencies can leverage this tool to validate agent performance, but ROI requires a clear client base and service pricing.

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

  • Supabase account
  • Codex
  • Claude Code
  • OpenCode
  • SQL client for scoring checks

People and inputs

  • Access to Supabase project environments
  • Documentation for agent configuration
  • Familiarity with the LLM judge integration

Included with the course

7 working documents for delivering this service.

  • AI Agent Evaluation Checklist for Client Projectschecklist
  • Multi-Stage Task Workflow Template for Benchmarkingtemplate
  • Hybrid Scoring Interpretation Guideguide
  • Model Comparison Report Templatetemplate
  • Agent Testing Environment Setup SOPsop
  • Client Readiness Assessment Worksheetworksheet
  • Pricing Tier Selection for Agent Evaluation Workloadsguide

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