AGNT.CENTER is a managed service for founders, operators, and small teams that want private AI infrastructure without owning the technical burden. We handle deployment, setup, tuning, and ongoing operational upkeep so your system is usable in day-to-day business workflows.
Not a toy chatbot. Not a generic VPS. Not “AI magic.” We sell private AI infrastructure, deployment work, operational setup, and post-launch support for businesses that need a usable system.
AGNT.CENTER is built for serious business use, not experimental clutter. Your infrastructure, workflows, and operating environment should feel deliberate from the first interaction — including how deployment, setup, support, and ownership are handled.
The offer stack is intentionally separated so buyers can understand exactly what they are paying for: infrastructure, launch work, tuning, and maintenance are not the same thing.
Business-ready private AI infrastructure with monthly, 6-month, and annual billing options.
Deployment, environment setup, channel connection, and launch preparation for practical use.
Prompt, workflow, and role refinement so the system performs better in real business use.
Optional post-launch support for upkeep, small fixes, operational assistance, and continuity.
Most confusion on AI service sites comes from mixed packaging. Here, each layer has a clear role.
| Offer | What it covers | Best fit | What it does not cover |
|---|---|---|---|
| Private AI Infrastructure | The infrastructure layer only | Teams that want control and can handle more of the operating side | Does not include setup, tuning, or ongoing token usage |
| Managed AI Infrastructure | Infrastructure with a cleaner service-led operating handoff | Teams that want less technical overhead | Does not replace launch work or project-based tuning by itself |
| Setup Intensive | Deployment, connection, environment configuration, initial launch prep | New implementations that need a real starting point | Not a recurring support retainer |
| Performance Tuning | Prompt refinement, behavior updates, workflow improvements | Teams improving an existing deployment | Not unlimited custom engineering |
| Maintenance Add-On | Minor support, operational assistance, and stability upkeep | Post-launch support needs | Not a full development retainer |
All pricing is in USD. Infrastructure, setup, tuning, and maintenance are priced separately from model usage. Client API keys remain with the client. Annual plans are discounted compared with monthly or 6-month billing.
This bundle includes 1 year of Managed AI Infrastructure plus the full Setup + Tuning package. It is the most complete starting point for clients who want to move fast without piecing the stack together manually.
Infrastructure layer only. You own the configuration and run the agents yourself. Service fees stay clearly separate from model usage.
We deploy, monitor, and maintain your agents. Cleaner handoff, less overhead on your side — designed for operators who want to use AI without running it themselves.
Initial deployment, channel connection, environment configuration, and launch setup for your business workflow.
Prompt refinement, workflow tuning, and output-quality improvement for teams that need better performance after initial setup.
If you need both setup and tuning, the bundled launch package gives you the full implementation path at a better rate than buying them separately.
A consultation is the cleanest way to scope your workflow, identify whether you need infrastructure only or a full launch package, and avoid buying the wrong layer first.
Buyers need clarity. This is the post-purchase operating flow.
We confirm your workflow, tools, channels, ownership, and what the system is expected to do.
We provision the infrastructure, connect the environment, and prepare the system for launch.
We refine prompts, roles, workflows, and behavior so the system performs more reliably in real business use.
We hand off the operating setup cleanly, and maintenance can cover post-launch assistance and minor fixes.
These points matter for trust and they should be explicit.
Clients can use their own API keys. AGNT.CENTER does not need to become the owner of model usage just to set up the system.
Recurring infrastructure fees are separate from LLM or API token usage unless explicitly stated otherwise.
If the correct package is unclear, the right move is to request consultation first instead of guessing the stack.
No. Infrastructure, setup, tuning, and maintenance fees are separate from model or API usage unless explicitly stated otherwise.
The client can provide their own API keys. AGNT.CENTER handles environment setup, deployment, and operational configuration.
We move into scoping, deployment, setup, and handoff based on the package you selected. Consultation is recommended first if package fit is unclear.
Private AI Infrastructure gives you the infrastructure layer. Managed AI Infrastructure adds a cleaner service-led operating handoff for teams that want less technical overhead.
Setup Intensive covers deployment, channel connection, environment configuration, and initial launch preparation so the system is ready for practical use.
Performance Tuning is project-based optimization focused on prompts, workflows, logic, roles, and output quality. It is not unlimited ongoing development.
Maintenance is for minor support, operational upkeep, small fixes, and ongoing assistance after launch. It is not an unlimited support plan and not a custom engineering retainer.
It includes the first year of Managed AI Infrastructure plus the full Setup + Tuning launch package for $799 today. Starting in year 2, infrastructure renews at $252/year.
Use the consultation page to request scheduling. Once the final Google Calendar / Google Meet scheduling link is locked, consultations can flow directly through that route. For now, support@agnt.center is the fallback contact.
Scope, access, and support expectations should be agreed before launch. The important structural point is that client-owned API keys remain under client control.
Start with consultation if you want the right package scoped properly, or choose the Year 1 Managed Launch Bundle if you already know you want the cleanest full-start path.