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AI Automations

SageScreen operates a fleet of autonomous AI agents that power the CI/CD pipeline, development tooling, and business automation layer. The diagram below shows the full fleet topology as of v4.

Fleet Diagram

SageScreen agent fleet diagram showing the CI/CD pipeline agents, automation agents, and their relationships to infrastructure, MCP tools, and external services

SageScreen Agent Fleet v4 — CI/CD and automation architecture

If the diagram is not visible, you can open it directly at the Spaces CDN URL.

Architecture Overview

The SageScreen agent fleet is a set of Claude-powered coding and operations agents running inside a mono-repo CI/CD loop. Each agent is scoped to a single concern — code review, testing, deploy validation, Linear ticket automation, outreach, or document generation — and communicates through structured MCP tool calls rather than free-form messages.

CI/CD Agents

Automation Agents

MCP Tool Layer

All agents share a common MCP server at mcp.sagescreen.net which exposes tools for:
  • Linear (issues, labels, comments)
  • Pipedrive (contacts, deals, activities)
  • Reply.io (sequences, enrollment)
  • DigitalOcean Spaces (artifact storage and CDN)
  • Productlane (changelogs, customer feedback threads)
  • WordPress (posts, pages, media)

Transparency and Auditability

Every agent action produces a structured audit entry in the Linear issue timeline or a GitHub commit signed by the bot identity. No agent merges to dev or main without a human approval step. Secrets are never passed through agent prompts; they are resolved at runtime from environment variables injected by the CI runner.

Source Attribution

Fleet diagram designed by the SageScreen engineering team. SVG hosted on DigitalOcean Spaces under the sagescreen-artifacts bucket (region: nyc3).