▲ 1 r/claudeskills+1 crossposts

Today’s AI news all pointed to the same conclusion: models aren’t the competitive advantage anymore.

I noticed something interesting today after reading several trending AI discussions on Reddit.

At first glance they looked unrelated.

One was about companies reconsidering Claude after recent trust and transparency discussions.

Another was about an open-source coding agent outperforming products from much larger companies.

Another showed unexpected reasoning output from a frontier model.

The last one demonstrated how using MCP reduced coding costs by more than 60%.

Different stories.

Same conclusion.

We're entering a stage where model quality alone isn't what separates people anymore.

Trust matters.

Architecture matters.

Workflow matters.

Cost matters.

I've been building a workflow where Hermes manages projects while Claude focuses on execution.

The biggest improvements didn't come from switching models.

They came from better orchestration.

Using the right model for the right task.

Delegating repetitive work to tools instead of expensive reasoning.

Keeping context instead of constantly starting over.

Adding validation instead of trusting summaries.

Models are becoming engines.

Your workflow is becoming the vehicle.

The engine will keep changing every few months.

Your system design is what compounds over time.

I think that's where the real advantage will come from over the next few years.

reddit.com
▲ 1 r/u_ThisTimeDifferent101+1 crossposts

A lot of people asked why I’m building an AI OS instead of installing more Skills.

I’ve received the same question several times over the past few days.
“Why don’t you just install more Skills?”
“Why are you spending so much time building an AI operating system?”
“Wouldn’t more Skills simply make the agent smarter?”
I used to think exactly the same way.
Install one Skill for coding.
Another for stock analysis.
Another for content creation.
Eventually I realized something.
The AI wasn’t becoming smarter.
I was becoming the person responsible for deciding which tool to use every single time.
So I completely changed my architecture.
Skills are no longer the center of the system.
They’re just plugins.
Hermes is responsible for deciding when and why they should be used.
Instead of asking, “Which Skill should I call?”, the system starts with a business objective and decides which capability is actually needed.
That single change shifted everything from a toolbox to an operating system.
The second lesson was about context.
Many agent frameworks load every tool description into the context window from the beginning.
As more Skills are added, token usage explodes, memory becomes crowded, and model quality gradually degrades.
I moved to a thin-core architecture instead.
Hermes only keeps the company rules and its own identity in memory.
Everything else is loaded only when required and released afterward.
The third lesson was governance.
Automation isn’t the same as control.
I don’t allow agents to evolve themselves without approval.
They can propose new capabilities.
They can recommend improvements.
But they cannot change the system on their own.
Execution belongs to AI.
Authority belongs to the human.
Finally, I stopped treating sessions as memory.
Sessions are temporary cache.
Knowledge is the real asset.
Every lesson learned, every architectural decision, every failed experiment gets written into Markdown documents that survive any model upgrade.
Claude may change.
Hermes may change.
The next frontier model will eventually replace both.
But the organization, the decision-making process, and the accumulated knowledge remain.
That’s why I no longer think I’m building an AI assistant.
I’m building an operating system for running a company.

reddit.com
u/ThisTimeDifferent101 — 8 days ago
▲ 0 r/u_ThisTimeDifferent101+1 crossposts

One Person + AI = A Team? Some Thoughts From the Last Few Months

Last night I wrapped up work around 1 AM.

Before shutting down my computer, I looked at my project list and realized I'm somehow still pushing six projects forward at the same time.

A B2B lead generation system.

A-share trading strategies.

AI content creation.

TikTok algorithm research.

A product I'm not ready to talk about publicly yet.

And Hermes, the system that helps me manage all of the above.

A friend asked me recently:

"Did you secretly hire a team?"

I said no.

Technically, my team only has two members right now: Claude and Hermes.

For a long time I thought the biggest challenge in entrepreneurship was money.

Now I think it's energy.

Not because the work is difficult.

Because there's simply too much of it.

Customers need follow-ups.

Products need updates.

Code needs debugging.

Content needs publishing.

Data needs analysis.

None of these things are particularly hard on their own. The problem is that they all arrive at the same time.

What AI has really given me isn't capability.

It's bandwidth.

Take B2B lead generation as an example.

Before, I had to manually research companies, qualify prospects, collect information, and write outreach emails myself.

Now Claude helps me organize data, analyze prospects, and generate email drafts.

Over the past few months I've sent close to 3,000 cold emails. Some prospects opened product pages dozens of times. Some opened them over a hundred times. A few eventually became inquiries, and some became customers.

To be honest, AI didn't close those deals.

I still had to do the conversations myself.

But it removed a huge amount of repetitive work from my day.

The same thing happened with trading.

A lot of people think AI will somehow discover profitable strategies for you.

That hasn't been my experience at all.

The ideas are still mine.

The risk is still mine.

The difference is that validating an idea no longer takes days.

Sometimes I can figure out whether something is worth pursuing in a few hours.

The biggest improvement isn't making money easier.

It's making experimentation cheaper.

The most interesting thing recently has been Hermes.

I didn't build it because I had some grand vision.

I built it because I had too many projects.

The hardest part of my day wasn't doing work.

It was deciding what to work on first.

Sometimes I'd sit in front of my screen for an hour, jumping between projects, and make almost no progress.

So I started letting Hermes handle project management, task breakdowns, and prioritization.

The result has been pretty funny.

Claude constantly tells me things are finished.

Hermes constantly tells me they're not.

Claude says:

"It's fixed."

Hermes says:

"The tests still fail."

Claude says:

"Everything looks good."

Hermes replies:

"You missed something."

At first I found Hermes incredibly annoying.

Then I realized it was catching problems I would have missed myself.

Today it coordinated more than 60 subtasks across multiple projects, pushed them forward in parallel, and generated a consolidated task list for me.

For a moment I had a strange realization.

I used to manage AI.

Now AI is helping me manage AI.

Of course, none of this means AI is magic.

Yesterday I posted my first short-form video.

After 18 hours it had around 4,000 views, 99 likes, and 39 saves.

Nothing viral.

Nothing impressive.

But I was happy.

Because the topic was mine.

The edits were mine.

The decision to publish was mine.

AI only helped with the first draft.

That's something I've come to believe more and more.

AI won't build your business for you.

AI won't take your risks for you.

AI won't make your important decisions for you.

Honestly, AI is like that one guy who never gets offended.

You can yell at it all day, and it'll calmly ask:

"Would you like to continue, or try another model?"

What AI really does is compress the amount of work that used to require a small team into something a single person can at least attempt.

The decisions are still yours.

The risks are still yours.

And the person sitting in front of the computer at 1 AM is still you.

So when people ask me whether one person can realistically run six projects at the same time, my answer is simple:

Before AI, probably not.

Today, it's still not easy.

But at least now there's a chance.

u/ThisTimeDifferent101 — 11 days ago
▲ 4 r/u_ThisTimeDifferent101+1 crossposts

Claude gets things done. Hermes makes sure they’re actually done.

Funny observation after running both Claude and Hermes together.
Claude keeps telling me Hermes is slow and overcomplicated.
Hermes keeps telling me Claude didn’t actually finish what it claimed to finish.
After a few weeks, I’ve realized they have completely different strengths.
Claude is still much better at implementation, debugging, environment setup, and getting work done.
Hermes is much better at project management, task decomposition, tracking progress, and calling out unfinished work.
Today I finally got Hermes orchestrating Claude.
Hermes generated and managed more than 60 parallel subtasks across multiple projects, then reviewed the results and produced a consolidated task list.
The weird thing is that neither replaces the other.
Claude is the worker.
Hermes is the manager.
I’m starting to think the future isn’t one super-agent. It’s teams of specialized agents.

u/ThisTimeDifferent101 — 12 days ago