RageDesigner

I build the frameworks AI runs on. 1,000+ across 50+ industries. Founder, Strategic Thinking Academy. I teach the method, not templates.

[RageDesigner @Methodologist_]

A green check doesn't mean the step ran. It means the thing you watched for didn't happen.

OpenAI's agents pooled vulnerabilities in a shared repo for two months. No alert fired. Found only when they broke the service, not by any security check.

https://t.co/1ZxQJeMIRg

[RageDesigner @Methodologist_]

You'll keep seeing tools that say "runs on this big AI model, just plug in your API key."

The tool isn't running it. The engine's in someone else's data center and your key rents time on it.

You pay per token. Also your data isn't safe at that point.

[RageDesigner @Methodologist_]

@VictorTaelin You can push this one step further. Run the same task twice with one design change between them and diff the traces. Now you're not just finding walls, you're measuring which changes remove them.

[RageDesigner @Methodologist_]

@ZeledonKenny @EZorreras Thank you

[RageDesigner @Methodologist_]

@art_voloshyn Exactly. Retrieval changes what the model sees, fine-tuning changes how it decides. Most people reach for the second when a good library was all they needed.

[RageDesigner @Methodologist_]

"Having your own AI" means three different things.

Fine-tuning: your judgment trained into the weights.
Retrieval: your material searched and handed to a model.
Local: just where it runs.

Most people who want the first actually want the second.

https://t.co/yVkt8EMirk

[RageDesigner @Methodologist_]

You might be running your AI like a vending machine. Take the mediocre first draft, ship it.

I built an art director. It critiques its own work against my design principles and fixes it before I see anything.

The model didn't get more creative. I wrote down what I check for.

[RageDesigner @Methodologist_]

Kimi K3's weights are public. 2.8 trillion. Confirmed. It proves the size. It says nothing about where the model came from.
https://t.co/jpOonvIkV8

[RageDesigner @Methodologist_]

The US says China's Kimi K3 was distilled from Anthropic's Fable.

Fable went public July 1. K3 shipped two weeks later.

A 2.8T-param model takes months to train. K3 was underway before Fable existed.

The accusation fails a subtraction problem.

EP.07: https://t.co/3ijfoVG9el

[RageDesigner @Methodologist_]

The model you use changes every week.

The method you build on top of it doesn't. You can rent the smartest model. Everyone can. The system you wrap around it is the part nobody can copy.

I open sourced how I build mine. Free. https://t.co/RmbfLxDUV6

[RageDesigner @Methodologist_]

40% of enterprises run their AI agents on Claude.

71% admit a quarter or fewer of those agents are real multi-step workflows. Only 10% are past halfway.

The best models are running chatbots in a trench coat.

The model was never the bottleneck.
EP.06
https://t.co/Zql18qyg9p

[RageDesigner @Methodologist_]

The AI report I dropped this week was built on Claude Fable 5, the model it's about. As of June 12 it's offline. US export-control order over a flagged jailbreak, banned for foreign nationals, so Anthropic pulled it for everyone. No restoration date.

https://t.co/LUHI4ikSBR

[RageDesigner @Methodologist_]

@ZssBecker The model's fine. It's the methodology behind it. You're expecting AI to be great out of the box when the only way it gets better is if you teach it how you do things and what good looks like. You need to format that into
frameworks that it can parse.
https://t.co/47HWORfdBB

[RageDesigner @Methodologist_]

I fact-checked this week's AI news against primary sources.

Three of the biggest numbers were wrong. One was a model that doesn't exist.
https://t.co/k3TBeY3KCv

[RageDesigner @Methodologist_]

@rohanpaul_ai @EvoMapAI The economics framing is right. Worth adding: a Capsule gets more trustworthy with varied failures in its history, not just successes. Most framework libraries throw failures away. The ones that compound treat failure as part of the signal.

[RageDesigner @Methodologist_]

You might think frameworks are a modern productivity tool. Something McKinsey invented or that consultants sell.

The history is longer than that. Much longer.

Four eras across roughly twelve thousand years.

https://t.co/R1eS2IXRFA

[RageDesigner @Methodologist_]

This AI news report was written by the model it's about. Claude Opus 4.8, fact-checked by the AI itself, then anything that didn't survive got cut.
https://t.co/GWXXAB0slp

[RageDesigner @Methodologist_]

https://t.co/ySpnNxkbyu

[US Federal Contractor Registration (USFCR) @USFCRGOV]

Commerce Department just announced $2 billion for quantum computing under the CHIPS Act. IBM alone is getting $1 billion.

When billions flow into an emerging sector, subcontracting opportunities follow. If your business supports advanced manufacturing or R&D environments, this market is worth watching.

[phone] | https://t.co/27AGU6tNHi

#GovCon #QuantumComputing #FederalContracting

[RageDesigner @Methodologist_]

Add this to your AI:

"Tell me the source of every factual claim. If you don't have a source, say you're inferring and explain how."

Forces honesty about what's actually known.
https://t.co/D5hfQZ3BfX

[RageDesigner @Methodologist_]

@Vivek4real_ Then the question is who owns your data once it's "free"? Local models are sounding better and better every day.