OpenClaw
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Done-For-You OpenClaw

Your private AI team,built around how youactually run the business.

I build it. I host it. I monitor it. You message your agents.

You do not want another tool to manage. You want the work to have somewhere to go.

Done-For-You OpenClaw is the managed implementation path for founders who want private AI infrastructure without becoming the installer, technician, systems administrator, or model expert.

We start with your real bottlenecks: decisions, context, content, research, inbox, planning, communication, and the work that still depends too much on you.

Then I build the machine around the operator. Your standards, voice, offers, clients, priorities, and operating preferences become part of the system.

You interact through a simple Telegram command center. Your agents handle the first layer of research, drafting, triage, summaries, and preparation. You keep the judgment.

I coach the human. I build the machine.

Apply for Done-For-YouSee the self-serve installer

Fit-based application. $5,000 setup + $997/month. Personally reviewed and built by Hovhannes.

9:41
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your team
6 agents online
Today
draft three posts for the product launch
9:42
Drafted. Three variants. Topics: founder origin, product promise, launch invite. Available in your Workspace.
9:42
pull everything on our three competitors by Friday
9:44
Confirmed. Report due Friday 7am. I'll notify you when ready.
9:44
Message
The Four Paths

There are four ways founders usually approach AI.

Only one installs the operating layer.

Most paths create more information, more tools, or more dependency. Done-For-You OpenClaw is built around infrastructure, context, and a monthly operating rhythm.

  1. Path 1

    Keep collecting tools.

    Cheaper at first. Expensive over time. You end up with more tabs, more decisions, and more half-used subscriptions.

    The tool is there, but the business still waits for you to turn it into work.

    Access without infrastructure.

  2. Path 2

    Take another course.

    Useful information. But information does not install itself into your week.

    The folder gets saved. The lessons get watched. The operating rhythm stays the same.

    Learning without operating change.

  3. Path 3

    Hire someone generic.

    Helpful if they understand your business. Risky if they only know tools and not founder bottlenecks.

    A workflow can be automated and still miss the context that makes your company yours.

    Support without deep context.

The Fourth Path

Infrastructure around the operator.

I build a private AI team around your context, hosted for you, accessed simply, and improved over time.

The work starts with your real bottlenecks: what only you remember, what only you decide, what only you can currently explain, and what keeps pulling you back into the center of the business.

Context

The system is shaped around your real work.

Access

You delegate through Telegram, not another dashboard.

Rhythm

The system is monitored, refined, and improved monthly.

Prompting asks AI for answers. Delegation gives work a place to go.

The Process

From application to operating layer.

Built carefully. Managed monthly.

Step 1

Application

You tell me what the business is, where you are overloaded, what tools you use, and what you want the AI team to support first.

Step 2

Fit call

We decide whether this is the right path. If the self-serve installer or a simpler Cowork setup is a better fit, I will say that.

Step 3

Discovery and bottleneck map

We map where your business still depends too much on your memory, attention, communication, judgment, and context.

Step 4

Build

I configure the private system, agent roles, context layer, access method, and first workflows.

  • Agent team design around your real bottlenecks.
  • Founder context, voice, standards, offers, and preferences.
  • Telegram-based access for simple delegation.
  • Research, content, inbox, morning brief, and memory workflows.
  • Hosting, monitoring, backup, and support boundaries.
  • End-to-end verification before handoff.
Step 5

Handoff

You learn how to delegate, correct, approve, and use the system without becoming technical.

Step 6

Monthly rhythm

We monitor, improve, adjust, and keep the system useful under real business conditions.

The goal is not to sell every founder. The goal is to build systems that actually get used.

Managed Monthly

Built once. Improved in rhythm.

The setup fee buys the build. The monthly management keeps the system useful under real business conditions.

01

Hosting and monitoring.

I handle the technical layer so the system does not become another thing you have to manage.

02

Monthly optimization.

The system improves based on what you actually use, ignore, correct, and need next.

03

Workflow refinement.

Agents, prompts, context, and handoffs are adjusted as your business exposes the real use cases.

04

Context maintenance.

Your standards, offers, voice, clients, and operating preferences stay current instead of freezing after setup.

05

Support boundaries.

You know what is included, what is not, and where to go when something needs attention.

06

Clear cancellation path.

Before we begin, we clarify what you own, what I maintain, and what happens if you cancel or migrate.

Bottom Line

You are not paying for vague support. You are paying for the work it takes to keep private AI infrastructure useful, clear, and aligned with your business every month.

Qualifier

This is for founders whose business has outgrown their personal operating capacity.

This is for you if
  • You already know AI matters, but scattered tools have not changed how the business runs
  • You want implementation, not more information
  • You want the system built around your real business, voice, standards, and bottlenecks
  • You care about privacy, ownership, hosting, cancellation, and clear support terms
  • You want to interact with AI support without managing the technical layer
  • You are willing to participate in discovery so the system reflects your actual context
This is not for you if
  • You want a generic automation package
  • You want guaranteed revenue claims
  • You are looking for the cheapest AI setup
  • You do not want to share context about how your business works
  • You want to abdicate all judgment instead of delegating better
  • You need a fully proven enterprise platform with years of case studies
Bottom Line

Done-For-You OpenClaw is not a volume offer. It is a fit-based build for founders who want installed infrastructure, honest scope, and a system that can survive real business conditions.

Truth First

This is a serious build, not an AI fantasy.

Done-For-You OpenClaw is for founders who want to be early into a high-touch managed infrastructure path. That means the standard is honesty.

I will not pretend every business needs this. I will not promise guaranteed revenue. I will not sell you complexity for its own sake. I will not hide what is live, what is custom, and what is still being improved.

The work is fit-based because private AI infrastructure touches sensitive parts of the business: context, communication, client nuance, files, workflows, and decisions.

Trust comes first.

Questions Before You Apply

Eight questions. Direct answers.

Build the machine without becoming one.
Keep the judgment.

The future does not belong to founders who collect the most AI tools. It belongs to founders who install the right system around the real work.

Apply for Done-For-YouStart with the Guided Installer

$5,000 setup + $997/month. Month-to-month after setup. Fit-based application.

Apply

Apply for Done-For-You OpenClaw.

Tell me what you have built, where the business still depends too much on you, and what you want your AI team to support first.

I coach the human. I build the machine.

Hovhannes Hunanyan

optional
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Applications are reviewed personally. If it is not a fit, I will point you toward the cleaner next step.