$ an agent that works where you work
An agent of your own.
Three ways to put an agent to work.
A Hermes agent of your own.
Your own always-on agent on a server you control, reachable from Telegram, doing the recurring work on a schedule — the reports, the follow-ups, the monitoring. I set it up, connect it to the tools you already use, and stay until you can change it yourself.
Suits
- recurring work
- a business that runs on messages
- someone who wants it working while they sleep
Claude Code, set up with you.
The same agent I build with, installed on your machine and pointed at your work, with a session or two until you can drive it. Nothing to host, nothing to maintain, and you keep it whether or not we work together again.
Suits
- hands-on owners
- one-off projects
- anyone who wants to learn the tool rather than rent an outcome
An agent aimed at one job.
Marketing, operations, support, admin — pick the thing eating your week and we build an agent around that one job, with the prompts, the data and the guardrails it needs. It earns the second job by doing the first one well.
Suits
- a specific bottleneck
- teams that want proof before scope
Which one fits is a ten-minute conversation, not a sales call.
Answers are not the same as work getting done.
A chat subscription gives you a window to type in. It does not check the calendar at six in the morning or chase the invoice on Thursday. I run frontier Claude models — Opus 5 and Fable 5/5.1 — on a first-party Claude Code subscription, layered over Ollama Cloud routing for the rest. Frontier capability without per-token metering — and an agent that actually does the work, not just talk about it.
Tier
Workload type
JTS Agent Stack
flat subscriptions · frontier + routed
Heavy Reasoning
Claude Opus 5 (first-party)
Frontier Coding
Fable 5.1 / Fable 5 (first-party)
Conversations
deepseek-v4.1-flash:cloud
Sub-agents / Cron Fleet
glm-5.3-flash:cloud
Scheduled Reviews / Fallback
glm-5.3:cloud
Six layers. One system.
Agent Hierarchy
- Orchestrator AI (CTO-level)
- Executive skills: Chief of Staff, CFO, COO, CMO
- VPs for Engineering, Infrastructure, and Product
- Specialized worker agents, spawned on demand
Memory System
- Semantic search across all sessions
- Knowledge graph of people & projects
- Recall — it remembers what you told it
- Gets smarter the more you use it
Skills Library
- 100+ skills
- Coding: TDD, review, debug, deploy
- Content: drafting, SEO, social
- Ops: security scans, health checks
Integrations
- Telegram — text & voice control
- Gmail — read and draft emails
- Instagram — comment alerts, drafted posts
24/7 Automation
- 40+ scheduled automations
- Daily standups & briefings
- Weekly reviews per department
- Content drafted for your approval
You Own It
- Runs on your VPS — not SaaS
- Open source, no lock-in
- Files and memory stay on your server
Connected to the tools you already use
No switching costs. Your AI meets you where you are.
Telegram
Text & voice — from the phone
Claude Code Remote
Frontier coding from anywhere
Gmail
Read · Draft
Comment alerts · Draft · Schedule
Notion CRM
Pipeline tracking
n8n
Workflow automation
Postiz
Social scheduling
Everything included. No tiers to navigate.
No upsells. The full system, configured for your business.
An agent of your own
Hermes or Claude Code, set up with you
Setup
One-time
Configured for your business
Monthly
Optional
Managed hosting + maintenance
- Multi-agent hierarchy (orchestrator, executive skills, VPs, workers on demand)
- 100+ skills library
- Memory system (semantic search + knowledge graph)
- Telegram, Gmail and Instagram integrations
- 24/7 cron automation (40+ scheduled jobs)
- Frontier Claude models (Opus 5 + Fable 5/5.1)
- Ollama Cloud models routed by task
- Dedicated VPS with daily backups
- Weekly health checks + monthly updates
- Same-day response on clear-cut issues
Claude Code subscription + Ollama Cloud billed separately. VPS costs not included.
How a setup usually goes.
First Conversation
A short conversation. We map your workflow, identify which tasks the agent takes over, and plan the integrations.
Server + Base Install
I provision your VPS, install Hermes, configure Ollama Cloud model routing, and wire up Telegram.
Skills + Integrations
Gmail, Instagram, CRM — each integration wired and tested. Custom skills built for your specific workflow. Agent hierarchy configured.
Tuning + Automation
Teaching the agent your preferences, setting up cron schedules, loading memory with your business context. This is where it becomes yours.
Live + Handoff
System goes live. You get a walkthrough of every agent, every cron job, every integration. Ongoing maintenance and updates included in monthly.
Questions, answered.
Managed AI gives you a private LLM with n8n workflows. An agent of your own goes further: an orchestrator that delegates to specialized sub-agents, with a skills library, memory and scheduled automations. It's the difference between a tool and an employee.
Two layers. Frontier work — the hardest coding and reasoning — runs on Claude Opus 5 and Fable 5/5.1 through a first-party Claude Code subscription. Everything else (conversations, sub-agents, the cron fleet) runs on Ollama Cloud models, pinned per job. You get frontier capability where it counts and flat-rate economics everywhere else — no per-token metering on either layer.
Telegram (your AI talks to you via text/voice), Gmail (read, draft), Instagram (comment alerts and drafted posts you approve), Postiz (multi-platform social scheduling), n8n (workflow automation), and Notion CRM (pipeline tracking). Custom integrations available on request.
100+ skills across coding, content creation, DevOps, research, creative generation, MLOps, and business operations. Each skill is a reusable workflow — code review, TDD, debugging, content drafting, SEO audits, security scans, deployment, and more. New skills are added continuously.
You own it. It runs on your VPS, on the open-source Hermes agent. Your files and memory stay on your server; prompts go to the model providers you pick (Ollama Cloud, Claude), which have their own usage limits. You control the models, the tools, and the memory.
Every conversation, decision, and fact is stored in a local semantic memory system (MemPalace). Your agent remembers past sessions, can search its own memory by meaning, and maintains a knowledge graph of people, projects, and relationships. It gets smarter the more you use it.
It depends on how much you want it doing on day one. A single agent aimed at one job is quick; a full stack across several is not. I scope it with you before either of us commits.
Stop renting AI.
Own the workforce.
Get in touch →