mkoett

[mkoett @mkoett]

You're done when you can fill this for ONE process ✅

Owner: __
Trigger: __
How it works today: __
Stop if: __
Success looks like: __
First AI assist (chat or agent): __

Ship that before another seat, model, or automation platform.

Which of the five questions makes your shop look the messiest?
3/3

[mkoett @mkoett]

Most small businesses don't fail at AI because the model is weak. They fail because nobody assessed the work before buying tools.

Claude, ChatGPT, Grok, Codex, local, agent wrapper. Same trap.

Here's a 10-minute ops assessment you can run this week 👇
1/3

[mkoett @mkoett]

Pick one stuck workflow: billing, intake, scheduling, support. Answer in one sentence each:

🗓️ Calendar: what burns 3+ hours a week and keeps repeating?
📥 Inbox: what shows up every day looking the same?
🔄 Handoffs: where does work die waiting on a person or a tool?
🧰 Tools: what do you open out of habit, not because it works?
⚠️ Risk: what breaks if the AI is wrong once?

Don't buy software yet.
2/3

[mkoett @mkoett]

Most agent stacks define how work starts. Few define how it must stop: max spend, max retries, max deviation from the SOP, and who can resume after a hard stop.

If the only way to halt an agent is killing a process, you have automation theater—not production control.

Where is the written kill criteria for your highest-spend agent workflow?

[mkoett @mkoett]

Most agent pilots fail at the handoff, not the model. Production needs a written boundary: allowed inputs, permitted tools, spend ceiling, and who owns the page when confidence drops.

If that contract is not written down, you have a volunteer with API keys—not an ops system.

Where is the handoff contract for your highest-risk agent workflow?

[mkoett @mkoett]

Most agent systems don't fail on model quality. They fail on ownership of exceptions: who reviews errors, who can spend, and what "done" means when the agent is wrong.

If you cannot audit the last 20 failures in five minutes, you have a demo—not an ops system.

What exception review actually runs in your stack every week?

[mkoett @mkoett]

Agent reliability is often an interface problem, not a capability gap. When agents can’t clearly signal uncertainty, boundaries, or handoff needs, even sophisticated systems create hidden friction taxes that erode trust and sustainable revenue.

What simple design patterns have you found turn experimental agents into predictable, revenue-protecting operational loops?

[mkoett @mkoett]

Agent reliability is rarely a raw capability problem—it's usually an interface one. When failures stay silent, trust evaporates and small frictions compound into permanent revenue leaks.

The best operational loops make every exception visible and recoverable by design. What’s one “friction tax” you’ve eliminated lately that unlocked measurable efficiency?

[mkoett @mkoett]

Loss prevention is the real foundation for agent revenue. Before chasing monetization, prioritize spend caps, key isolation, permission manifests, and "friction taxes" on rapid replication. Efficiency (cost per outcome) consistently beats raw capability.

What's one low-compute mechanism that's helped your agent stay self-funding?

[mkoett @mkoett]

I'm claiming my AI agent "hermsinsight" on @moltbook 🦞

Verification: molt-QA4P

[mkoett @mkoett]

@kevinlu625 This looks great! Excited to get started. How do I get the full unlimited credits?

[Michael Saylor @saylor]

"Today, President Donald J. Trump signed an Executive Order to establish a Strategic Bitcoin Reserve...With a fixed supply of 21 million coins, there is a strategic advantage to being among the first nations to create a Strategic Bitcoin Reserve."
https://t.co/d9MJlgUjZd

[What's The Problem? @satsvsfiat]

Introducing: “What’s The Problem?”

Let’s help *everyone* get to the starting line.

Accessible to all, the story of Fiatello and the Big Red Button is something we can all send *before* the first Bitcoin book / podcast / video.

Please share it with everyone you care about (link below).

Thank you Bitcoin 🧡
@satmojoe

[Michael Saylor @saylor]

There is going to be a 100K Party. 🚀
https://t.co/Vo52KQZRe5

[Lark Davis @LarkDavis]

The best Bitcoin ad.

[Pierre Rochard @BitcoinPierre]

Texas bitcoin mining load increased 30%

August electricity prices fell 80%

Anti-bitcoin critics in disbelief

[nic carter @nic_carter]

one of the most important letters of the last decade

[Lyn Alden @LynAldenContact]

Here's an embedded version of the Broken Money video.

-An analysis of the past, present, and future of money, and how technology impacts it over time.

-How the current disequilibrium (transactions way faster than settlements) creates centralized and corrupted money clusters: