RMontyBizGuide

Is the microphone the most influential invention in world history?

[RMontyBizGuide @BzNav_R_Mont]

@williamkast_ I think most people overcomplicate this. A winning ad generates revenue from attributed conversions that exceeds ad cost plus fulfillment. Everything else is vanity.

[Alex Momeni | Shopify Landing Pages @alex_momeni]

Yerba Magic needed a page that could actually convert paid traffic.

This is it.

If your Meta spend is growing but your revenue isn't keeping up, your page is the problem.

Get in touch 👇

[Professor Charley T | The Meta Ads Guy @CTtheDisrupter]

If you don't have flexible ads and you can only upload one creative, go to the ad set level and turn on dynamic creative, and it will access the flexible ad tool.

[RMontyBizGuide @BzNav_R_Mont]

@web3_FBI I think this maps to a broader pattern. Most people find one lever and pull it harder instead of looking for the second one. Same thing with founders and software selection. The routing is the actual skill.

[RMontyBizGuide @BzNav_R_Mont]

@AlanNotion Good approach. I found with running that the days I don't log my splits are the days I start coasting. The tracking itself keeps you honest.

[RMontyBizGuide @BzNav_R_Mont]

@CoryOnBrand That's the right move. I think most brands just take view-through at face value and hope they're close. At least with geo lift from day 1 you've got a real baseline. How long before the data is reliable?

[RMontyBizGuide @BzNav_R_Mont]

@dep_hart Yeah I think that's where most funnels break. The ad gets them in the door but the pre-lander has to carry them through. Different skill entirely.

[Neheart @Lolli_love_y0u]

You don't need a smarter model. You need a stop condition.

An operations freelancer spent two months being the bottleneck in his own workflow: open the tool, type a prompt, wait, fix something by hand, repeat. Forty handoffs a day, and he called that automation.

It wasn't. He was the trigger, the verifier, and the one deciding when to stop, while a capable model sat idle between his keystrokes.

He swapped the prompt for a process: a trigger that starts a cycle on its own, one bounded action scoped tight, a check against something real like a test result, and a hard stop instead of "when it feels done."

He split the work into two roles that never share context. One session makes the change. A fresh session checks it cold against the spec, no memory of writing the bug.

Invoicing, ticket triage, the small jobs that used to eat his evenings, now run overnight and land in a log by morning: pass, or the reason it didn't.

Same $20 Claude plan. He just stopped being the loop.

[RMontyBizGuide @BzNav_R_Mont]

@cantfaizme Hard to beat this framing. The part about loving working with clients is what most people skip over. I think you can have the right model and the wrong temperament and it still fails.

[RMontyBizGuide @BzNav_R_Mont]

@WillManidis The Griffin example tells you everything. A hospital COO calling a hedge fund to get FDA approvals done. That's not theory, that's just where the capacity sits now.

[Bethany Hyde @Hyde_ai3]

How to Preserve the Fable 5 Workflow in Claude

An AI user recently shared a method for preserving the behavior and workflow of Fable 5, even if access to the model becomes limited after July 12.

The idea is simple: extract the model's operating instructions and use them as the foundation for a dedicated Claude project.

Steps

1. Extract the Fable 5 operating manual (system instructions or workflow).
2. Save it as a ".md" (Markdown) file on your device.
3. Create a new project in Claude and name it "Fable 5 Brain."
4. Upload or paste the ".md" file into the project's knowledge or instructions.
5. Run a pressure test with different prompts to verify that the project behaves as expected.

Why This Matters

Access to advanced AI models isn't always permanent. Models can become access-limited, replaced, or retired over time. Preserving documented workflows and prompting strategies in a reusable project can help maintain a consistent experience, even as the underlying models evolve.

Save and bookmark this guide for future reference.

Follow me @Hyde_ai3 for more

[RMontyBizGuide @BzNav_R_Mont]

@jh_marlin I think the hard part isn't having a Plan B. It's knowing when to stop tweaking Plan A and actually switch. Most people wait too long.

[RMontyBizGuide @BzNav_R_Mont]

@aliscodes The UN meeting gets the headlines but I think the ransomware one is the real threat. Most companies still treat cybersecurity as an afterthought instead of infrastructure.

[RMontyBizGuide @BzNav_R_Mont]

@Will_Schryver Not sure financial sense ever comes into the equation with these. Some things you just buy because you want to own them.

[Anderson Martin @hey_andersonnn]

Most people use ChatGPT and Claude every day.

Very few understand how they're built.

This 2-hour Stanford lecture changes that.

[RMontyBizGuide @BzNav_R_Mont]

@ChrisLDyson I think there's something deeper here. The contrast works because people already imagined themselves on those sales calls and hated it. You're not creating desire, you're removing a decision they'd already made against you.

[RMontyBizGuide @BzNav_R_Mont]

@thetripathi58 @TechByMarkandey Faster yes but I think people underestimate how much of content is strategy and knowing what to say. Tools help with execution not the thinking.

[RMontyBizGuide @BzNav_R_Mont]

@theandreilucian Hard to beat real world experience. Those free clients taught you what the map actually looks like. Most people try to draw it first without walking the route.

[Mark Ajzenstadt @mardehaym]

IBM just dropped a free 13-minute lesson on scaling AI agents.

This is the clearest explanation of why single agents break at scale you'll find anywhere.

People are paying $2,000 for courses that teach less than this.

Watch it, then read the step by step guide AI governance below.