Start with the noise
Messages, documents and meetings are waiting. Hermes helps me see what matters before I start reacting.
I use it to move from information to decisions to execution — across the work of being a CEO, CTO, builder and teacher.
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.
Messages, documents and meetings are waiting. Hermes helps me see what matters before I start reacting.
Research, compare, summarize and surface the trade-offs. I get a better view of the decision, not just a faster answer.
A draft, a tested piece of code, a prototype, a briefing or an action already placed in the workflow.
AI is useful to me because it sits inside the workflow, not outside it.
Email, calendar, briefings, travel, reminders, notes and daily coordination.
Research, document summaries, comparisons, risks and decision preparation.
Ruby on Rails, debugging, tests, prototypes, websites and internal tools.
Automations, training, content and AI solutions for teams and customers.
The model can start the work. I still own the context, the judgment and the consequences.
Goals, constraints, source material and the real situation.
Research, summarize, compare and expose what is missing.
Challenge assumptions. Make the trade-offs visible.
Draft the message, code the feature or make the prototype.
Check the result, then put it into the real workflow.
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.
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.”
Messages, meetings, customers, research, code and decisions arrive continuously—not one task at a time.
It gives me the first analysis, first draft and first version, so I can spend more time on direction and quality.
I keep the context, judgment, relationships and consequences—especially when the decision is hard to reverse.
The point is not to trust AI blindly. The point is to create a faster loop with clear human control.
When a mistake is reversible: first drafts, research, summaries, prototypes, routine administration and code exploration.
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.