Founder support
Start each day with one brief covering priorities, meetings, follow-ups, customer issues, and the decisions only you can make.
We build and manage a secure AI assistant that follows up with leads, organizes your inbox and calendar, checks orders, prepares content, and handles approved routine work 24/7—whether you run a growing company or a business of one.
01 — The shift
ChatGPT helps when you ask it a question. A tailored agent can notice a new lead, order, email, message, or deadline and prepare the next step automatically. We build it around one recurring responsibility, with rules that keep important decisions in your hands.
Give it the routines that consume your day: briefings, scheduling, follow-up, research, content preparation, order checks, and reminders.
We prioritize the right use case, choose the stack and models, define safeguards, build the pilot, and help people adopt it.
Works with familiar tools
We connect the approved tools you already use. Compatibility, permissions, and safe actions are confirmed before anything is automated.
02 — Choose how it is managed
You do not need to make the technical decision alone. We recommend the right setup after learning how you work, what information the agent needs, and how available it must be.
Runs from your office
A Mac mini set up for the recurring work you choose—whether it sits in a home office, studio, shop, or company workspace.
Fully managed for you
A secure, always-on server with a dashboard and a custom agent we build, monitor, and maintain—without adding local hardware.
Built with your team on-site
We spend a week learning how work really moves, find where time is being lost, install the system, and train your team.
03 — Quiet execution
Your agent follows the way you already work. It gathers the right context, prepares the next step, and sends unusual or important decisions back to you or your team.
04 — Applied intelligence
Start each day with one brief covering priorities, meetings, follow-ups, customer issues, and the decisions only you can make.
Monitor questions and market signals, turn existing material into draft posts, and prepare a performance brief for review.
Draft or send approved replies through supported text and messaging channels, then record the next step.
Watch new or delayed orders, prepare shipping-label workflows, route print jobs, and flag address or customs exceptions.
Qualify inquiries, prepare tailored follow-up, answer routine questions, and surface conversations that need you.
Organize documents, create tasks, collect metrics, draft summaries, and keep recurring back-office work moving.
Examples describe common and community-reported agent patterns, not promised outcomes. Tool access, reliability, and approval requirements are validated for every build.
05 — Control by design
We document what stays local, what may reach an AI provider, which tools are connected, and which actions always require your approval. Your plan is not locked to one model or agent foundation.
Explore security & model choicesDedicated identities, scoped credentials, and read-only access wherever practical.
Human review before sending, deleting, publishing, purchasing, or changing important records.
Logs, retention rules, monitoring, backups, and an emergency stop path.
A clear map of what stays local, what reaches a model, and what enters connected services.
06 — The practical difference
You do not need to know the technical answer before calling us. We recommend a setup based on the work, the sensitivity of your data, and how reliably the agent must stay available.
07 — Suggested investment
We begin with a workflow whose value can be measured—faster response, fewer missed handoffs, less repetitive work, or better visibility. These starting prices make the investment clear.
Managed VPS agent
From$3,500+ $299/mo
Dedicated local hardware
From$5,995device included
Five days at your business
Custom engagementCall for pricingtravel & hardware scoped separately
Founder-led Zoom session

08 — White-glove deployment
For organizations that need more than a remote setup, we work inside the operation: interviewing the people closest to the work, mapping permissions and failure points, installing local devices, and leaving the team with a system they understand.
Discuss an on-site deployment09 — Questions, answered
The best first workflow happens often, follows recognizable rules, and has a measurable cost when it is delayed or missed. Our private workflow interview helps identify that starting point.
Yes. Solopreneurs often have the clearest opportunities because the same person is handling sales, scheduling, customer replies, content, orders, and admin. We start with one recurring responsibility that would give you meaningful time back.
No. ChatGPT and Claude usually wait for someone to ask a question. Your agent can watch approved tools and prepare or complete a defined next step. We support multiple hosted and local AI models and recommend them task by task.
Our goal is usually to remove repetitive coordination—not eliminate human judgment. The agent handles repeatable preparation and monitoring while your team keeps control of relationships, decisions, and exceptions.
That is common. We help map the current process, identify gaps, and define a safe first version before anything is automated.
Before launch, we agree on measures such as response time, staff-hours, missed follow-ups, throughput, or error rate. We begin with one workflow so the value is visible.
Only when the complete workflow uses local storage, a local model, and no external service. Cloud models, email, CRMs, calendars, and messaging tools receive the information required to do their part.
It can, but autonomy is a design choice. We recommend draft-only or approval-first behavior at launch, with narrowly defined routine actions enabled only after testing.
We evaluate OpenClaw, Hermes, NVIDIA NemoClaw, and other suitable agent foundations. Your plan can use models from several hosted providers or compatible local models. Availability, hardware fit, cost, data handling, and output quality are confirmed before we recommend a stack.
Email, calendars, CRMs, support platforms, ecommerce systems, files, project tools, messaging, and team chat are common starting points. We confirm what each tool safely allows before promising an integration.