A practical system, not a magic trick

AI is my operating system for work.

I use it to move from information to decisions to execution — across the work of being a CEO, CTO, builder and teacher.

Part executive assistant. Part researcher. Part software engineer. Part thinking partner.
TON
in the loop
Executive
assistant
Research
partner
Coding
partner
Product
builder
Thinking
partner
A day in the system

The work does not arrive one task at a time.

It arrives as a stream: a message to answer, a meeting to prepare for, a decision to make, a product to build. AI helps me turn that stream into a sequence I can work through.

08:30 / inbox

Start with the noise

Messages, documents and meetings are waiting. Hermes helps me see what matters before I start reacting.

midday / decision

Make the messy clear

Research, compare, summarize and surface the trade-offs. I get a better view of the decision, not just a faster answer.

late / build

Leave with something real

A draft, a tested piece of code, a prototype, a briefing or an action already placed in the workflow.

This is where AI becomes useful: inside the rhythm of work

One system.
Four jobs.

AI is useful to me because it sits inside the workflow, not outside it.

01 / ASSIST

Executive assistant

Email, calendar, briefings, travel, reminders, notes and daily coordination.

02 / UNDERSTAND

Research partner

Research, document summaries, comparisons, risks and decision preparation.

03 / BUILD

Software engineer

Ruby on Rails, debugging, tests, prototypes, websites and internal tools.

04 / MULTIPLY

Business multiplier

Automations, training, content and AI solutions for teams and customers.

My working loop

The model can start the work. I still own the context, the judgment and the consequences.

01

Give context

Goals, constraints, source material and the real situation.

02

Ask it to explore

Research, summarize, compare and expose what is missing.

03

Choose a direction

Challenge assumptions. Make the trade-offs visible.

04

Build the first version

Draft the message, code the feature or make the prototype.

05

Verify and act

Check the result, then put it into the real workflow.

The layer underneath

What I connect through Hermes

Hermes gives the AI a place in my operating rhythm. It can read the right context, work across tools and return something I can act on.

GmailGoogle CalendarDriveDocsSheetsSlackObsidianWeb browserTerminalScheduled jobs
HERMES
Gmail
inbox briefs
Calendar
planning
Docs + Drive
knowledge
Slack
delivery
Obsidian
memory

The story I would share

Not a claim that AI replaces people. A practical example of how it gives one person more leverage.

“I do not use AI to avoid thinking. I use it to think across more context, test ideas earlier and turn decisions into action faster.”

01 / THE PROBLEM

My work is a stream

Messages, meetings, customers, research, code and decisions arrive continuously—not one task at a time.

02 / THE PRACTICE

AI reduces friction

It gives me the first analysis, first draft and first version, so I can spend more time on direction and quality.

03 / THE PRINCIPLE

Responsibility stays human

I keep the context, judgment, relationships and consequences—especially when the decision is hard to reverse.

Speed with
boundaries.

The point is not to trust AI blindly. The point is to create a faster loop with clear human control.

Let AI move fast

When a mistake is reversible: first drafts, research, summaries, prototypes, routine administration and code exploration.

Keep humans in the loop

When the work affects customers, money, privacy, security, legal commitments or other irreversible outcomes.

AI gives me leverage. It does not give me responsibility. That part is still mine.