Custom agents for real work

Your work deserves an agent built around it.

Private assistants for individuals. Agentic workflows for companies. Built around your knowledge, tools, and approvals.

Your knowledgeYour toolsYour agentYour approval

Two ways to start

One service, shaped around who is doing the work.

What your agent can be

Choose the surface. Keep the intelligence.

The interface follows the job: retrieve knowledge, operate a browser, or work securely on your machine. Most systems combine more than one.

Agent readyPrivate workspace

Personal knowledge agent

Answers grounded in your own material.

Connect the sources you already trust. The agent retrieves, compares, drafts, and cites without turning your information into another filing project.

Files + notesGrounded answerReview
Permissions stay visibleActions stay reversible

Production principles

The agent adapts to the work. The work does not adapt to the agent.

Visible
Every action and source can be inspected.
Controlled
Human review stays at consequential decisions.
Private
Access follows the minimum permissions required.
Compatible
The system works with tools already in place.

What operators say

Perspectives from operators in Irvine, San Diego, New Jersey, and Hangzhou.

My real load limits — 100 CBM, 44,000 lb — became the agent’s rules. It proposes the plans, I approve with one click. Nothing about how I work had to change.

Logistics operations lead

Irvine, California

I used to hunt through files and columns by hand to run quality checks. Now I type a question in plain English and get the answer inside the platform I already use.

Clinical data manager

San Diego, California

Thirty years processing entries, and she started by listening. The repetitive filing gets automated; every judgment call stays with my staff.

Customs brokerage lead

New Jersey

The traceability plan covered factory production through retail scan, with agents for ingestion, chain queries, and compliance checks.

Supply chain founder

Hangzhou, China

The agent adapts to how each student learns — four accessibility modes, voice included. Same pattern as her other work: the agent adapts to the human.

Education program lead

Irvine, California

She sat with the team and walked through a real day before writing a line of code. You explain the work once — she does the listening.

Operations manager

New Jersey

It started on one workflow, proved itself, then grew. Every action the agent takes is visible and reversible — we never lost control.

Clinical researcher

San Diego, California

Deployed inside the tools we already had instead of asking us to migrate. That alone put this ahead of every automation pitch we’d heard.

AI product manager

Hangzhou, China

My real load limits — 100 CBM, 44,000 lb — became the agent’s rules. It proposes the plans, I approve with one click. Nothing about how I work had to change.

Logistics operations lead

Irvine, California

I used to hunt through files and columns by hand to run quality checks. Now I type a question in plain English and get the answer inside the platform I already use.

Clinical data manager

San Diego, California

Thirty years processing entries, and she started by listening. The repetitive filing gets automated; every judgment call stays with my staff.

Customs brokerage lead

New Jersey

The traceability plan covered factory production through retail scan, with agents for ingestion, chain queries, and compliance checks.

Supply chain founder

Hangzhou, China

The agent adapts to how each student learns — four accessibility modes, voice included. Same pattern as her other work: the agent adapts to the human.

Education program lead

Irvine, California

She sat with the team and walked through a real day before writing a line of code. You explain the work once — she does the listening.

Operations manager

New Jersey

It started on one workflow, proved itself, then grew. Every action the agent takes is visible and reversible — we never lost control.

Clinical researcher

San Diego, California

Deployed inside the tools we already had instead of asking us to migrate. That alone put this ahead of every automation pitch we’d heard.

AI product manager

Hangzhou, China

Start with one useful job

What should your agent know—or do?

Bring one repeated task, a set of files, or a workflow ready to become a working system.

Project intake

Open a short brief.

Open the brief when you’re ready. Scope, risks, and approval points come back as a concrete build path.

Personal assistantKnowledge baseBrowser agentLocal agentTeam workflow
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Helpful materials

Sends to hannahteng777@gmail.com. Third-party model, server, account, and tool fees are quoted separately.

Quick message+

No private phone number is exposed