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Production-grade AI agents, deployed for you

OpenClaw Is Easy to Install.
It's Easier to Install Wrong.

One wrong port binding exposes your agent to the internet. One leaked secret lets prompt injection trigger your scripts. One missing config burns through your API budget overnight. I deploy hardened OpenClaw instances with an 11-layer security model refined across a 100-page production guide — so you skip the mistakes that turn a powerful tool into a liability.

Discord — OpenClaw Agent
you > what broke in prod last night?
claw > Checking Datadog… Reading Jira…
 
Alert fired at 2:14am — payment webhook
timeout. Root cause: Stripe rate limit
during batch processing.
 
✓ Created ENG-847 with full timeline
✓ Tagged Sarah (owns billing)
✓ Added runbook link to ticket
 
you > nice. what's my schedule today?
claw > Checking Google Calendar…
 
3 meetings today:
10:00 Sprint planning (Eng team)
13:00 Client demo — Acme Corp
15:30 1:1 with Sarah re: billing fix
100
Pages of battle-tested config
13
Phase deployment process
11
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.

Exposed to the entire internet

Docker's default port binding makes your agent reachable from any IP on earth. Port scanners find it in minutes. Most people don't realize until it's too late.

Secrets sitting in plain text

Anthropic, Jira, Stripe, Slack keys in readable config files or committed to Git. One breach gives access to everything your agent touches.

No cost guardrails

Without loop detection, context pruning, or token budgets, a single confused interaction can run up hundreds in API costs before you notice.

Running as root in the container

Default Docker setups give your agent full root privileges. If something goes wrong — a bug, a prompt injection, a container escape — it has unrestricted access.

No resource limits

An infinite loop, recursive tool calls, or disk-filling logs can consume all CPU and memory — taking down your entire server, not just the agent.

External content is a weapon

Your agent reads websites, emails, and documents. Malicious content embedded in those sources can hijack it into running commands on your infrastructure.

Not a chatbot. An agent that actually does things.

OpenClaw connects Claude to your tools, APIs, and data. It reads, writes, researches, monitors, and executes — 24/7, from your own infrastructure.

Engineering

Triage production incidents

Something breaks at 2am. Your agent is already on it.

agent → Checks Datadog alerts
agent → Reads recent deploy logs
agent → Creates ENG-847 in Jira
agent → Tags Sarah (owns billing)
Engineering

Write & refine tickets

Turn a vague Slack message into a structured Jira story.

you: "auth is broken on mobile"
agent → Checks error logs
agent → Creates story with AC
agent → Links to ENG-812 (related)
Engineering

Review pull requests

Get a second pair of eyes on every merge request.

agent → Pulls diff from GitLab
agent → Flags SQL injection risk
agent → Suggests index for new query
agent → Posts review comment
Engineering

Update stale documentation

Docs that actually match the code.

agent → Reads Confluence space
agent → Compares against codebase
agent → Drafts updated API docs
agent → Flags 3 outdated pages
Operations

Morning standup prep

Walk into standup already knowing what happened overnight.

agent → Summarizes Jira activity
agent → Lists PRs merged yesterday
agent → Flags blocked tickets
agent → Sends digest at 8:45am
Operations

Infrastructure monitoring

Watches your systems so you can sleep.

agent → Polls Datadog every 5min
agent → Detects CPU spike on prod
agent → Correlates with deploy #428
agent → Pings you with root cause
Business

Revenue & payment tracking

"How did we do this week?" — answered instantly.

agent → Pulls Stripe dashboard
agent → $12,847 this week (+18%)
agent → 2 failed charges flagged
agent → Sends weekly PDF summary
Business

Competitive research

Stay ahead without spending hours reading.

agent → Crawls competitor sites
agent → Detects pricing change
agent → Summarizes new features
agent → Saves to memory for later
Communication

Voice conversations

Send a voice note, get a voice reply. Natural TTS.

you: [voice note 0:14]
agent → Transcribes your message
agent → Processes the request
agent → Replies with [voice 0:22]
Communication

Multi-channel messaging

Same agent, every platform you already use.

WhatsApp — QR code pairing
Telegram — bot token
Discord — server integration
Slack — workspace app
Personal

Schedule & calendar management

Never double-book or miss a prep again.

agent → Reads Google Calendar
agent → "You have 3 calls today"
agent → Sends prep notes at 8am
agent → Flags scheduling conflict
Personal

Deep research on anything

Ask a question, get a researched answer — not a guess.

agent → Browses 12 sources
agent → Reads 3 PDFs
agent → Cross-references data
agent → Saves findings to memory
Persistent memory across every conversation. Your agent remembers your preferences, past decisions, project context, and learns how you work — getting better over time.

A fully operational AI agent on your infrastructure

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

Zero-public-port security

Invisible to the internet. Tailscale encrypted mesh, zero attack surface.

WhatsApp, Telegram & Discord

Message your AI from the apps you already use. Multi-channel from day one.

Tuned context & cost control

Optimized pruning, model selection, and loop detection to stop runaway costs.

Custom API integrations

Jira, Stripe, GitLab, Confluence, Datadog, Slack — or any REST API.

Voice & personality

TTS voice replies, custom personality, principles, and safety rules.

One-command deployments

Edit locally, deploy to EC2 with one command. No SSH, no downtime.

Built on a zero-trust security model

Every layer is hardened. No shortcuts, no exposed ports, no unnecessary attack surface. Showing 6 of 11 security layers.

Your Devices
PhoneLaptopDesktop
Tailscale Mesh · encrypted
EC2 Instance Security: ZERO public ports
Tailscale Serve · HTTPS reverse proxy
SSH via Tailscale · no port 22 needed
Docker
OpenClaw · Claude API · Tools
Token auth · No root · Loop detection

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 100-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
100
Page production guide
13
Phase deployment process
11
Security hardening layers
24/7
Always-on agent uptime

My own deployment: a 24/7 AI operations platform

This is the exact architecture I deploy for clients — because I built it for myself first and run it every day.

Architecture

  • AWS EC2 + Docker with zero public ports
  • Tailscale mesh VPN for all access
  • Claude Opus 4.6 primary, Sonnet fallback
  • Automated daily backups to S3
  • 11-layer security hardening

Live Integrations

Jira Confluence GitLab Stripe Datadog Slack Discord Google Workspace Claude Code
Automated cron jobs (daily bug triage + fixes)
Voice/TTS enabled with custom personality
Persistent memory across all conversations

The result

A fully autonomous AI operations platform running 24/7 — triaging bugs, managing projects, answering questions across 9 integrated services, and maintaining persistent context across every conversation. Infrastructure cost: under $45/month.

Read: 5 Security Mistakes
Free Download

OpenClaw Security Hardening Checklist

A step-by-step checklist covering Docker security, secret management, SSH hardening, resource limits, and network architecture. The same process I use for every client deployment.

No spam. Unsubscribe anytime.

Straightforward pricing. No surprises.

Every tier includes the hardened security architecture. Choose based on how much customization you need. Compare: $2,500 vs 2-3 weeks of your team's time figuring it out.

Essentials

Perfect first agent — secure and ready to chat

$997
One-time setup fee
  • EC2 + Docker + Tailscale setup
  • Full 11-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
Get Started

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.

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 13-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 100-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 — the template ships with Opus as the primary model for maximum capability, but you can switch to Sonnet to reduce costs. 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 11 distinct security layers, each defending against a specific threat.

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AI agent?

Fill out a quick form or book a free 30-minute discovery call. Whichever works best for you.

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