Production-grade AI agents, deployed for you

Stop configuring.
Start using your AI agent.

I deploy hardened OpenClaw instances on your infrastructure — zero-public-port security, custom integrations, and a battle-tested architecture refined across a 66-page production guide. You get a working AI assistant on WhatsApp, Telegram, or Discord in days, not weeks.

66
Pages of battle-tested config
9
Phase deployment process
10
Hardened security layers
0
Public ports exposed

OpenClaw is powerful. Setting it up is not simple.

Most people hit the same walls. I've already solved every one of them.

Security misconfigurations

One wrong setting and your agent is exposed to the internet. Gateway binding, port mapping, trusted proxies — each has a specific correct pattern that's easy to get wrong.

Runaway API costs

Without proper context pruning, loop detection, and model selection, a confused agent can burn through hundreds of dollars in API costs overnight.

Prompt injection risks

Your agent reads websites, emails, and PDFs. Without passphrase-protected scripts and proper safeBin configurations, malicious content can trick it into executing commands.

A fully operational AI agent on your infrastructure

Every deployment includes hardened security, tuned performance, and extensible integrations.

Zero-public-port security

Your instance is invisible to the internet. EC2 security groups block all inbound. Tailscale creates an encrypted private mesh. No attack surface, period.

WhatsApp, Telegram & Discord

Message your AI from the apps you already use. QR code pairing for WhatsApp, bot token for Telegram and Discord. Multi-channel from day one.

Tuned context & cost management

Optimized pruning ratios prevent compaction loops. Model selection matched to your budget. Loop detection stops runaway costs before they happen.

Custom integrations

Connect your agent to Jira, Stripe, GitLab, Confluence, Datadog, or any REST API. Passphrase-protected workspace scripts with defense-in-depth against prompt injection.

Voice & personality

Text-to-speech replies on voice notes. A full agent identity framework — personality, principles, boundaries, and safety rules that make your agent genuinely useful.

One-command deployments

After setup, every update is a single command. Edit locally, deploy to EC2, container restarts automatically. No SSH, no manual file copying, no downtime.

Built on a zero-trust security model

Every layer is hardened. No shortcuts, no exposed ports, no unnecessary attack surface.

All inbound traffic blocked

EC2 security group denies every port

Encrypted mesh network

Tailscale replaces VPNs and firewalls

Unprivileged container

No root, no sudo, no privilege escalation

Agent can't self-modify

Gateway tool denied — no config tampering

Passphrase-gated scripts

Defense-in-depth against prompt injection

Runaway loop protection

Auto-kill before costs spiral

From zero to running agent in 4 steps

I handle the complexity. You just tell me what you need.

01

Discovery call

We discuss what you want your agent to do. Which messaging platforms? What integrations? What's your budget for API costs? I'll recommend the right architecture for your use case.

30 min · free
02

Infrastructure & security setup

I provision your EC2 instance, configure Docker with the hardened container, install Tailscale for zero-port access, and lock down every security layer. Your agent will be invisible to the public internet.

EC2 + Docker + Tailscale
03

Agent configuration & personality

I configure the full agent stack: model selection, context tuning, cost controls, loop detection, and your agent's personality, boundaries, and safety rules. Plus workspace scripts for any integrations you need.

Identity + Tools + Integrations
04

Handoff & training

I connect your messaging channels, verify everything works end-to-end, and walk you through day-to-day operations. You get a one-command deploy script and documentation for your specific setup.

You're live

This isn't a side project for me

Most people offering OpenClaw setup followed a tutorial last week. I wrote the tutorial — a 66-page production guide covering every decision, every edge case, every security layer. But that guide didn't come from nowhere.

I've spent my career building and scaling production systems. I went from business analyst to software engineer to engineering manager at a publicly traded tech company — shipping payment systems, real-time platform logic, and cloud infrastructure that served real users at scale. Then I co-founded a SaaS company as CTO, where I built the entire technical platform from the ground up: payment integrations, webhook event systems, e-commerce apps, and the AWS infrastructure underneath it all.

When I deploy your OpenClaw agent, I'm applying the same rigor I use for systems that handle real money and real customers every day. Someone who got OpenClaw running on their laptop can't tell you why your agent needs passphrase-gated scripts, or how context pruning ratios prevent compaction loops, or why binding to localhost before the Tailscale proxy is non-negotiable. I can — because I've hit every edge case and documented the fix.

  • CTO and co-founder — built and operate a SaaS platform serving hundreds of businesses on AWS
  • Former engineering manager at a publicly traded tech company
  • Author of the most comprehensive OpenClaw deployment guide available
  • Years of production experience with payment systems, APIs, and cloud infrastructure
  • Running hardened OpenClaw agents 24/7 with real business workflows
66
Page production guide
9
Phase deployment process
10
Security hardening layers
24/7
Always-on agent uptime

Straightforward pricing. No surprises.

Every tier includes the hardened security architecture. Choose based on how much customization you need.

Essentials

Perfect first agent — secure and ready to chat

$997
One-time setup fee
  • EC2 + Docker + Tailscale setup
  • Full 10-layer security hardening
  • 1 messaging channel (WhatsApp, Telegram, or Discord)
  • Agent personality & safety config
  • Cost optimization & loop detection
  • One-command deploy script
  • 7 days post-launch support
Get Started

Enterprise

Multi-agent, multi-user, full platform buildout

$5,000+
Scoped to your requirements
  • Everything in Professional
  • Multiple agent instances
  • Multi-user access control
  • Unlimited integrations
  • Claude Code for coding tasks
  • 60-day post-launch support
Let's Talk

Ongoing Advisory Retainer

Agent not doing what you want? New integrations? Need help tuning cost or performance? I stay on call to optimize, extend, and troubleshoot your agent month-to-month.

  • Priority response
  • New integrations & skills
  • OpenClaw upgrades & patches
  • Cost & performance tuning
$500
per month
Add to Any Plan

Infrastructure costs (EC2 ~$15/mo, Tailscale free, Anthropic API pay-per-use) are paid directly to providers — not through me.

What clients are saying

Real results from real deployments.

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Third client testimonial goes here. Ideally from a different tier or use case to show breadth of capability and client satisfaction.

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Common questions

Answers to what people ask before booking.

OpenClaw is an AI agent platform that connects Claude (Anthropic's AI) to messaging apps like WhatsApp, Telegram, and Discord. It gives you a personal AI assistant with full tool access — web browsing, file management, shell commands, memory, and custom integrations — running 24/7 on your own server.
You can. But getting it production-ready and secure involves a 9-phase process across EC2, Docker, Tailscale, and OpenClaw's configuration. There are dozens of settings where the wrong choice creates security holes, runaway costs, or a broken agent. My 66-page guide documents all of these decisions — but implementing it still takes significant time and Linux/Docker expertise.
EC2 t3.small is about $15/month. Tailscale is free for personal use. Anthropic API costs depend on usage — with Sonnet as primary model, casual use runs $5-20/month; heavy use with Opus can be more. I configure cost controls and spending limits as part of every deployment.
No. I handle all the infrastructure and configuration. After setup, you interact with your agent through WhatsApp or your chosen messaging app — just like texting a friend. Day-to-day updates use a single deploy command that I set up and walk you through.
Any service with a REST API. Common ones include Jira, Confluence, GitLab/GitHub, Stripe, Datadog, Slack, and Shopify. Each integration is built as a passphrase-protected workspace script — your agent can only use it when you explicitly authorize it, preventing prompt injection attacks.
The fundamental principle is zero public ports — your agent has no attack surface from the internet. On top of that: token authentication, Tailscale cryptographic identity, passphrase-protected scripts, no code executors in safe bins, no root access, self-modification denied, and automatic loop detection. That's 10 distinct security layers, each defending against a specific threat.

Ready for your own
AI agent?

Book a free 30-minute call. I'll assess your use case and tell you exactly what it takes to get your agent running.

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