Running Croft as a service, DevOps Automation

Croft Agency Implementation, AI App Delivery & Monitoring

Learn how to ship AI-built applications to clients with production-grade monitoring, error grouping, and response-time profiling built in. This course covers setting up Croft for client projects, configuring MCP tools so Claude can self-heal errors, and building retainer workflows around app performance tracking and automated fixes.

Open the decision record for Croft

What does running Croft for clients commit you to?

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

Monthly tool cost
Not published, L1 indicates a tiered model with Solo and Team plans but does not list dollar amounts. Confirm current Croft Solo or Team plan pricing directly with the vendor.
Time to first value
Not published, L1 lists setup_complexity as 'medium' and time_to_value as 'days' but does not publish a specific hour or day figure.
Payback
Not modeled, client price, agency labor rate, Croft vendor cost per plan, usage volume, and expected client count are not all supplied in L1.
Guided implementation
16 hours

Is Croft worth running as a client service?

Croft supports a managed hosting-and-monitoring service for AI-built apps, with strong evidence for MCP-driven autonomous fixes and included monitoring on Solo and Team plans. What remains unknown from L1 is specific vendor pricing per tier, client-facing market rates, agency labor hours, and any white-label or multi-tenant agency capability.

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

  • Croft Solo or Team plan subscription (monitoring included at no extra cost per L1)
  • AI coding assistant with MCP support: Claude, ChatGPT, Cursor, Grok, or Copilot
  • External tool connections as needed: Stripe, HubSpot, and 45+ additional integrations
  • AI-built application code from Claude, ChatGPT, Cursor, or Croft Build
  • Access to Croft MCP monitoring tools for reading errors, metrics, and logs

People and inputs

  • Knowledge of Croft's response time breakdowns across database, external API, and code execution
  • Process for interpreting auto-grouped errors with stack traces and affected requests
  • Procedure for searching 7 days of retained logs by level, time, or keyword
  • Alert routing configuration for new errors, high failure rates, and unhealthy apps

Estimated investment: Vendor cost basis is the Croft paid plan (Solo or Team); L1 does not publish specific dollar amounts for these tiers. Any setup labor or client-facing service price must be supplied by the agency, not modeled here.

Lessons in this course

7 lessons on running Croft for clients.

  1. 01Why Croft Turns AI-Built Client Apps Into Retainer InfrastructureStrategy
  2. 02Croft Client Fit MatrixConcept
  3. 03When to Adopt Croft: Client Apps Built by AI Chat, Not Hand-Coded StacksEvaluation Rule
  4. 04Croft: Buy vs Skip (AI-Built Client Apps on a Private Server)Decision Framework
  5. 05The Croft Retainer Trap: Why Agencies Fail When AI-Built Client Apps Outgrow the 7-Day Log WindowFailure Pattern
  6. 06Croft Client App Hosting Sprint (5-7 days)Implementation Blueprint
  7. 07Croft Client Workspace Setup (Onboarding)Operating Procedure

Included with the course

7 working documents for delivering this service.

  • Client App Onboarding Checklist for Croftchecklist
  • MCP Tool Setup Guide - Claude Error Debuggingguide
  • Croft Monitoring Dashboard Templatetemplate
  • Error Grouping & Stack Trace SOPsop
  • Response-Time Profiling Worksheetworksheet
  • Retainer Pricing Model - Croft Monitoring Tiertemplate
  • Stripe & HubSpot Integration Deployment Checklistchecklist

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