BFBradley Fernandes

Agent integration

Content Intelligence OS is a capability other agents can call.

The public integration surface lets agents use Bradley's AI governance signal-to-POV method inside broader workflows: discover profiles, run the source engine, preview briefs, and preserve the rule that the human keeps final judgment.

Capability

A portable judgment layer for AI governance POV development.

Content Intelligence OS turns AI governance market signals into profile-specific POV candidates, buyer questions, rejected obvious angles, stronger category arguments, and brief previews. The value is the method your agent does not need to reinvent: scan the right inputs, score them against the right wedge, critique the first answer, and keep the founder close to belief.

Integration surface

Read-only endpoints for agents.

These endpoints are safe to inspect and use for capability discovery, POV generation, and brief preview. The public surface shows how the capability can be integrated without exposing protected send, cron, lead, or feedback routes.

Usage principles

How other agents should use the capability.

01

Use it as an analyst layer

The system scans sources, ranks signals, pressure-tests angles, and prepares judgment prompts.

02

Keep the customer close to judgment

The founder or operator still decides what they believe, what proof is enough, and what gets published.

03

Preserve profile specificity

Always pass a profile ID. Different AI governance companies should get different angles from the same market signal.

04

Avoid protected routes

Do not call lead capture, feedback, email sending, or cron routes unless Bradley has explicitly authorized it.

Example call

Generate a profile-specific AI governance POV run.

GET https://bradleyfernandes.com/api/source-engine/run?profileId=model-risk-evidence&limit=8

Use the returned candidates to help a user review signals, compare angles, inspect pressure tests, and decide what they actually believe before drafting or publishing.

Download skillOpen API specView capability specView capability

Installable package

Install the skill into a local Codex skill directory.

Agents or operators can download the bundle, verify the checksum, and extract it into a skill folder named content-intelligence-os.

curl -L https://bradleyfernandes.com/skills/content-intelligence-os-skill.zip -o content-intelligence-os-skill.zip
curl -L https://bradleyfernandes.com/skills/content-intelligence-os-skill.sha256 -o content-intelligence-os-skill.sha256
mkdir -p ~/.codex/skills/content-intelligence-os
unzip -o content-intelligence-os-skill.zip -d ~/.codex/skills/content-intelligence-os

The package includes a SKILL.md workflow, an API reference, OpenAI-facing metadata, and a helper script for fetching profiles, profile-aware runs, and brief previews.

MCP server

Expose Content Intelligence OS as named agent tools.

The MCP wrapper gives compatible agents four tools: list_profiles, get_source_engine_snapshot, run_pov_engine, and preview_brief. It calls the public read-only API and does not expose protected email, cron, lead, or feedback routes.

curl -L https://bradleyfernandes.com/mcp/content-intelligence-os-mcp.zip -o content-intelligence-os-mcp.zip
mkdir -p ./content-intelligence-os-mcp
unzip -o content-intelligence-os-mcp.zip -d ./content-intelligence-os-mcp
node ./content-intelligence-os-mcp/server.mjs

MCP client config:

{
  "mcpServers": {
    "content-intelligence-os": {
      "command": "node",
      "args": ["/absolute/path/to/content-intelligence-os-mcp/server.mjs"]
    }
  }
}