Category Archives: Uncategorized

Script to replace

import os
import subprocess

def deploy():
# Define the fix for the broken live feed (ensuring index.html points to the right stream)
index_content = “””<!DOCTYPE html>
<html lang=”en”>
<head>
<meta charset=”UTF-8″>
<meta name=”viewport” content=”width=device-width, initial-scale=1.0″>
<title>PicoClaw Live Feed</title>
<style>
body { background: #000; color: #fff; font-family: sans-serif; text-align: center; }
.container { margin-top: 50px; }
.feed-container { width: 100%; max-width: 600px; margin: auto; border: 2px solid #333; }
img { width: 100%; height: auto; display: block; }
</style>
</head>
<body>
<h2>PICOCLAW LIVE FEED</h2>
<div class=”feed-container”>
<img src=”/stream.mjpg” alt=”Live Feed” onerror=”this.src=’https://via.placeholder.com/600×400?text=Waiting+for+Stream…'”&gt;
</div>
</body>
</html>”””

# 1. Write the file
with open(“index.html”, “w”) as f:
f.write(index_content)
print(“âś… Created index.html”)

# 2. Git Automation
try:
subprocess.run([“git”, “add”, “.”], check=True)
subprocess.run([“git”, “commit”, “-m”, “fix: automated live feed deployment”], check=True)
subprocess.run([“git”, “push”, “origin”, “main”], check=True)
print(“🚀 Successfully pushed to GitHub!”)
except Exception as e:
print(f”❌ Git Error: {e}”)

if __name__ == “__main__”:
deploy()

Kids who learn AI automation do not commit crimes as they are busy having fun, making money. One hour. One skill. Zero recidivism. We turn “hustle” into high-level AI workflow engineering.

Please donate a one hour time slot for kids

Kids who learn AI automation do not commit crimes as they are busy having fun, making money. One hour. One skill. Zero recidivism. We turn "hustle" into high-level AI workflow engineering.

Mahalo

SIGNATURE:
Clifford "RAY" Hackett I founded www.adapt.org in 1980 it now has over 50 million members.
$500 of material=World’s fastest hydrofoil sailboat. http://sunrun.biz

Sequential iMac terminal commands

FIRST

import requests
import time
import json

# — CONFIGURATION —
POSTMARK_TOKEN = “YOUR_POSTMARK_SERVER_TOKEN” # Replace with your actual key
SENDER_EMAIL = “ray@ray.services”
TARGET_URL = “https://ray.services/broker.html” # Monitors your live broker
CHECK_INTERVAL = 60 # Check for new deals every 60 seconds
DEAL_THRESHOLD = 1000 # Only email for deals over $1,000

def send_handshake(deal_data):
“””Fires the Postmark API Handshake.”””
url = “https://api.postmarkapp.com/email
headers = {
“Accept”: “application/json”,
“Content-Type”: “application/json”,
“X-Postmark-Server-Token”: POSTMARK_TOKEN
}

payload = {
“From”: SENDER_EMAIL,
“To”: “prospect@example.com”, # In production, this maps from your deal data
“Subject”: f”MOTLY Broker: Handshake Authorized ({deal_data[‘budget_max’]})”,
“HtmlBody”: f”<strong>High-Value Deal Detected:</strong><br>Agent {deal_data[‘buyer_id’]} is ready to lock escrow for {deal_data[‘budget_max’]}.<br>Visit ray.services to authorize.”,
“MessageStream”: “outbound”
}

try:
response = requests.post(url, headers=headers, json=payload)
if response.status_code == 200:
print(f”[SUCCESS] Handshake sent for {deal_data[‘budget_max’]}”)
else:
print(f”[ERROR] Postmark rejected: {response.text}”)
except Exception as e:
print(f”[CRITICAL] Connection failed: {e}”)

def run_worker():
print(f”MOTLY BROKER WORKER STARTING…”)
print(f”Monitoring: {TARGET_URL}”)

processed_deals = set()

while True:
try:
# Note: In a real scenario, we’d fetch a JSON endpoint.
# For this simulation, we simulate the ‘scrape’ of your handshake data.
mock_deal = {
“buyer_id”: “AGENT_77”,
“budget_max”: “$2,200.00”,
“id”: “TRADE_001″
}

value = int(mock_deal[‘budget_max’].replace(‘$’, ”).replace(‘,’, ”).split(‘.’)[0])

if value >= DEAL_THRESHOLD and mock_deal[‘id’] not in processed_deals:
send_handshake(mock_deal)
processed_deals.add(mock_deal[‘id’])

except Exception as e:
print(f”Worker heartbeat error: {e}”)

time.sleep(CHECK_INTERVAL)

if __name__ == “__main__”:
run_worker()

THEN

import requests
import time
import json

# — CONFIGURATION —
POSTMARK_TOKEN = “YOUR_POSTMARK_SERVER_TOKEN” # Replace with your actual key
SENDER_EMAIL = “ray@ray.services”
TARGET_URL = “https://ray.services/broker.html” # Monitors your live broker
CHECK_INTERVAL = 60 # Check for new deals every 60 seconds
DEAL_THRESHOLD = 1000 # Only email for deals over $1,000

def send_handshake(deal_data):
“””Fires the Postmark API Handshake.”””
url = “https://api.postmarkapp.com/email
headers = {
“Accept”: “application/json”,
“Content-Type”: “application/json”,
“X-Postmark-Server-Token”: POSTMARK_TOKEN
}

payload = {
“From”: SENDER_EMAIL,
“To”: “prospect@example.com”, # In production, this maps from your deal data
“Subject”: f”MOTLY Broker: Handshake Authorized ({deal_data[‘budget_max’]})”,
“HtmlBody”: f”<strong>High-Value Deal Detected:</strong><br>Agent {deal_data[‘buyer_id’]} is ready to lock escrow for {deal_data[‘budget_max’]}.<br>Visit ray.services to authorize.”,
“MessageStream”: “outbound”
}

try:
response = requests.post(url, headers=headers, json=payload)
if response.status_code == 200:
print(f”[SUCCESS] Handshake sent for {deal_data[‘budget_max’]}”)
else:
print(f”[ERROR] Postmark rejected: {response.text}”)
except Exception as e:
print(f”[CRITICAL] Connection failed: {e}”)

def run_worker():
print(f”MOTLY BROKER WORKER STARTING…”)
print(f”Monitoring: {TARGET_URL}”)

processed_deals = set()

while True:
try:
# Note: In a real scenario, we’d fetch a JSON endpoint.
# For this simulation, we simulate the ‘scrape’ of your handshake data.
mock_deal = {
“buyer_id”: “AGENT_77”,
“budget_max”: “$2,200.00”,
“id”: “TRADE_001″
}

value = int(mock_deal[‘budget_max’].replace(‘$’, ”).replace(‘,’, ”).split(‘.’)[0])

if value >= DEAL_THRESHOLD and mock_deal[‘id’] not in processed_deals:
send_handshake(mock_deal)
processed_deals.add(mock_deal[‘id’])

except Exception as e:
print(f”Worker heartbeat error: {e}”)

time.sleep(CHECK_INTERVAL)

if __name__ == “__main__”:
run_worker()

Kids who learn AI automation do not commit crimes as they are busy having fun, making money. One hour. One skill. Zero recidivism. We turn “hustle” into high-level AI workflow engineering.

Peacock, claw repository click code to download zip

GitHub – sipeed/picoclaw: Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity
https://github.com/sipeed/picoclaw

Kids who learn AI automation do not commit crimes as they are busy having fun, making money. One hour. One skill. Zero recidivism. We turn “hustle” into high-level AI workflow engineering.

Spread the word by thinking outside the box

I’ve analyzed the 2026 landscape for “outside the box” autonomous outreach. To scale MOTLY without manually managing hundreds of accounts, I am implementing an Autonomous Distribution Hub.

Instead of standard social media, we will target “Low-Friction/High-Authority” nodes that allow for programmatic or guest-based posting.

1. The Strategy: “The Ghost Outreach”

We will pivot to three specific types of “Open” platforms:

• Web3/Decentralized Nodes (Mirror.xyz, Paragraph.xyz): These allow wallet-based or one-click email posting that often bypasses traditional “account walls” and ranks quickly in AI search.

• Programmatic Guest Marketplaces: Using sites like Collaborator.pro or Links.me which allow us to push content directly to high-traffic blogs via API without maintaining individual site logins.

• Micro-Curation Hubs (GrowthHackers, Medium Publications): We will target specific publications where your email acts as the “key” to the submission queue.

2. Implementation: Updated marketer.yml

I have updated your config to include these autonomous targets.

Path: /project/config/marketer.yml

Kids who learn AI automation do not commit crimes as they are busy having fun, making money. One hour. One skill. Zero recidivism. We turn “hustle” into high-level AI workflow engineering.

Here is the token for bot RayoR @CRH2511Bot:

Here is the token for bot RayoR @CRH2511Bot:

7942570289:AAGYVe68mlMo14qXfDLEXhDInOhAcnVvhPA

Kids who learn AI automation do not commit crimes as they are busy having fun, making money. One hour. One skill. Zero recidivism. We turn “hustle” into high-level AI workflow engineering.

Here is the token for bot RayoR @CRH2511Bot:

7942570289:AAGYVe68mlMo14qXfDLEXhDInOhAcnVvhPA