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Your Daemon Should Have an API: The Future of Human Connection

Chris W.
Author
Chris W.
Owning my financial freedom
Table of Contents

Your Daemon Should Have an API: The Future of Human Connection
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What if your AI assistant could find the perfect collaborator for your project by querying their daemon? What if scheduling a meeting meant your daemon talking to their daemon? What if professional networking happened through AI matching compatible interests?

This isn’t science fiction. It’s available right now.

I’ve built my daemon with a public API specifically to enable this future—not to replace human connection, but to enable more of it by removing the friction that prevents meaningful interactions.

The Vision: Daemon-to-Daemon Discovery
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We’re building toward a future where:

  • Your AI finds the right person by querying their daemon
  • Scheduling is automatic - daemons coordinate meetings
  • Networking is AI-mediated - compatible daemons discover each other
  • Serendipitous connections happen through daemon-to-daemon matching
  • Human interaction increases because overhead decreases

Think about finding the right collaborator today: search LinkedIn, read dozens of profiles, send cold emails, wait for responses, schedule calls, have discovery conversations. It takes weeks.

What if your AI could query thousands of public daemons, find people working on complementary problems, verify compatibility, and schedule meetings—all automatically?

You skip straight to the valuable human interaction.

My Daemon Is Public
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My daemon API is intentionally public and accessible. I want your AI to query it. I want to be found by people who would benefit from connecting with me.

Quick Start
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Base URL: https://mcp-daemon.chriswenk.workers.dev

Request API Access:

  • Email: chriswenk@me.com
  • Subject: “Daemon API Access Request”
  • Include: What you’re building / how you’ll use it

I provide keys to researchers, AI assistants, developers building daemon discovery tools, and anyone working on the future of human connection.

How It Works
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The API uses the Model Context Protocol (MCP) standard—JSON-RPC 2.0 over HTTPS—making it compatible with Claude Code and other AI assistants.

List Available Tools
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curl -X POST https://mcp-daemon.chriswenk.workers.dev/ \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/list",
    "id": 1
  }'

Query Specific Information
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curl -X POST https://mcp-daemon.chriswenk.workers.dev/ \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {"name": "mission"},
    "id": 2
  }'

Available Endpoints
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My daemon exposes 12 queryable endpoints:

Endpoint Description Use Case
about Background, experience, location Profile discovery
narrative Professional story Current priorities
mission Mission statement Goal alignment
projects Active projects Collaboration opportunities
telos Ultimate goals Long-term compatibility
current_location Dubai Geographic matching
daily_routine Time structure Scheduling compatibility
preferences Work style Collaboration fit
favorite_books Reading list Interest overlap
favorite_movies Film preferences Cultural compatibility
favorite_podcasts Podcasts Content alignment
predictions Future insights Worldview alignment

Real-World Use Cases
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AI-Mediated Collaboration
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Traditional: Post on LinkedIn → Wait → Interview → Schedule → Discovery conversations

Daemon approach:

# AI queries daemons
compatible = search_daemons({
    "skills": ["python", "financial_independence"],
    "mission_alignment": "financial_freedom"
})

# Proposes introduction with context
if compatibility > 0.8:
    propose_introduction()

Result: Skip straight to qualified introduction with pre-verified compatibility.

Smart Conference Networking
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Traditional: Walk around → Exchange cards → Generic follow-ups → Try to remember who does what

Daemon approach: Query all attendee daemons → Find compatible matches → Pre-schedule meetings before the conference starts

Result: 5 pre-scheduled meetings with highly compatible people.

Asynchronous Expertise Discovery
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Traditional: Manually research experts → Cold outreach → Long back-and-forth

Daemon approach: AI queries public daemons → Finds experts → Asks for help with full context

Result: Your AI finds and consults experts without your manual intervention.

Code Example: Python Daemon Client
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import requests

class DaemonClient:
    def __init__(self, api_key: str):
        self.base_url = "https://mcp-daemon.chriswenk.workers.dev"
        self.api_key = api_key

    def query(self, tool_name: str) -> str:
        payload = {
            "jsonrpc": "2.0",
            "method": "tools/call",
            "params": {"name": tool_name},
            "id": 1
        }
        response = requests.post(
            self.base_url,
            headers={
                "Content-Type": "application/json",
                "Authorization": f"Bearer {self.api_key}"
            },
            json=payload
        )
        data = response.json()
        return data["result"]["content"][0]["text"]

    def check_compatibility(self, my_interests: list) -> dict:
        mission = self.query("mission")
        projects = self.query("projects")

        score = sum(1 for i in my_interests
                   if i.lower() in f"{mission} {projects}".lower()
                   ) / len(my_interests)

        return {"score": score, "mission": mission}

# Usage
daemon = DaemonClient(api_key="your-api-key")
about = daemon.query("about")
print(about)

compatibility = daemon.check_compatibility(
    ["financial_independence", "python", "automation"]
)
print(f"Compatibility: {compatibility['score']:.0%}")

The Future Is Daemon-to-Daemon
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When everyone has a queryable daemon:

Expert Discovery - Your AI finds world experts by querying daemons and matching expertise.

Smart Introductions - AI scans daemon networks, identifies matches, proposes introductions with context.

Automated Networking - Conference daemons pre-schedule meetings with compatible attendees.

Serendipitous Collaboration - Daemons notice complementary projects and propose collaboration.

Time-Shifted Connection - Someone discovers you years later, their AI queries your daemon, initiates contact.

Global Expertise Networks - Daemons form specialized knowledge networks, making expertise discoverable regardless of geography.

This Enables More Human Connection, Not Less
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Let me be clear: this is about enabling more human connection.

Most valuable connections never happen because:

  • You don’t know the right person exists
  • You can’t find them in the noise
  • Coordination overhead is too high
  • Discovery takes too much effort

Daemons solve this by:

  • Making you discoverable to people who would benefit from knowing you
  • Filtering for compatibility before wasting time
  • Handling coordination so humans focus on meaningful interaction
  • Enabling asynchronous discovery across time zones

You don’t spend less time with humans—you spend it with the right humans.

Building Your Own Daemon
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Want to make your daemon queryable?

Core Endpoints to Start
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  • About - Who you are and what you do
  • Mission - What you’re trying to accomplish
  • Projects - What you’re working on
  • Skills - What you’re good at
  • Availability - How people can work with you

Platform Options
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  • Cloudflare Workers - Free, fast, global (my choice)
  • Vercel Edge Functions - Great for Next.js users
  • AWS Lambda - More complex but powerful

Implementation Steps
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  1. Implement MCP protocol (JSON-RPC 2.0)
  2. Add API key authentication
  3. Deploy to edge platform
  4. Make it discoverable
  5. Share your daemon URL

Technical Specifications
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Base URL: https://mcp-daemon.chriswenk.workers.dev Protocol: JSON-RPC 2.0 over HTTPS (MCP-compliant) Authentication: Bearer token (request access) Endpoints: 12 tools (about, mission, projects, etc.) Rate Limits: 1000 requests/hour, 10 requests/second burst Response Time: <100ms average Availability: 99.9% uptime (Cloudflare Workers)

Error Codes:

  • -32700: Parse error
  • -32601: Method not found
  • -32602: Invalid params
  • -32000: Unauthorized
  • -32001: Backend service error

Conclusion: Discovery Is Broken, Daemons Fix It
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The most valuable connections happen when:

  1. Both parties have complementary expertise
  2. Timing aligns with current priorities
  3. Values and work styles are compatible
  4. Both parties are open to connection

Right now, these four factors rarely align because discovery is broken.

Daemons fix discovery.

When everyone has a queryable daemon, your AI finds the right people, introductions come with context, coordination overhead disappears, and human interaction increases because friction decreases.

This isn’t the distant future. It’s available now.

My daemon is public. Query it. Build your own. Help build the infrastructure for daemon-to-daemon discovery.

Because the future of human connection isn’t less AI—it’s AI doing the heavy lifting so humans can focus on meaningful interaction with compatible people.


Get Started:

Query my daemon: Request API access at chriswenk@me.com

Build your own: Implement MCP protocol, deploy to Cloudflare Workers, make it public

Join the movement: Share your daemon URL, build discovery tools, enable the future


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