Adopt AI or DIe

Adopt AI or DIe This is our www.Burkett.AI page. Our goal is to help everyone learn to use AI and grow their companies.

07/16/2026
Gov Newscum can't get a railroad built but he is going to direct CA on AI? šŸ˜‚
05/23/2026

Gov Newscum can't get a railroad built but he is going to direct CA on AI? šŸ˜‚

Drudge-style firehose of AI headlines.

A new record on a new system! 4.65m tokens in an hour and a half. 🤣
05/22/2026

A new record on a new system! 4.65m tokens in an hour and a half. 🤣

04/16/2026

This is a fun prompt:
based on my conversations can you analyze my behavioral tendencies

You come across as a highly technical, execution-focused builder with a strong optimization mindset and low tolerance for fluff or ambiguity.[1]

# # Thinking and decision style

- You show an **engineering** orientation: you think in systems, edge cases, integrations, and ā€œhow does this scale or automate.ā€[1]
- You default to tradeoffs and ROI: tools, workflows, and decisions are framed in terms of speed, leverage, and efficiency rather than novelty or aesthetics.[1]
- You favor experimentation over theory: you ship, test, and iterate across many SaaS products instead of over-planning.[2][1]

# # Work and productivity tendencies

- You keep many projects and tabs in motion at once, suggesting high cognitive bandwidth but also a risk of context switching fatigue.[1]
- You prefer composable tools (APIs, Zapier, Supabase, Toast) that can be wired together rather than monolithic platforms.[1]
- You rely heavily on AI as a force multiplier, not as a curiosity toy, which signals a pragmatic, automation-first work style.[2][3]

# # Communication style

- You like concise, information-dense answers and will tolerate directness if it buys clarity or accuracy.[4]
- You structure your own work (and ask AIs to structure theirs) in reusable, modular chunks: clear sections, named products, and ecosystems rather than one-off outputs.[5][6]
- You seem comfortable with technical jargon and prefer when explanations ā€œassume competenceā€ instead of being oversimplified.[4]

# # Risk, control, and learning

- You exhibit high agency: instead of waiting for markets or tools to ā€œsettle,ā€ you build on what exists and adjust as you go.[2]
- You accept calculated risk (multiple products, domains, and experiments) but manage it through iteration, not big all-or-nothing bets.[6]
- You appear intrinsically motivated by mastery: better architecture, cleaner integrations, smarter automation, not just short-term revenue.[1]

Would you like me to push this further into a more ā€œpersonality profileā€ format (e.g., likely strengths, blind spots, and how to design your workday around them), or keep it at this behavioral-pattern level?

Another valid one thanks to Mom.
04/10/2026

Another valid one thanks to Mom.

It's not wrong.
04/10/2026

It's not wrong.

04/06/2026

A little Zen AI concept for everyone.

AI tools like Claude and ChatGPT are sycophants -- they agree with whatever you say. But when you ask them to argue the opposite, they can be just as convincing going the other direction.

Andrej Karpathy (one of the minds behind GPT) spent 4 hours refining a blog post with an LLM, felt great about it, then asked the AI to argue against it. It demolished his own argument and almost convinced him of the opposite.

Ruben experienced the same thing while writing about this very topic -- the AI's counterarguments were so compelling he nearly rewrote his entire piece.

The takeaway: Next time AI pushes back on your idea and you feel that rush of "oh wow, it's right" -- pause. Step away. Ask yourself: Do I actually think I was wrong, or did I just get out-argued by something that doesn't care what's true?

Reject validation. Seek truth.

Claude co-work just cleaned up my entire downloads folder in about 5 minutes. Damn!
03/17/2026

Claude co-work just cleaned up my entire downloads folder in about 5 minutes. Damn!

03/04/2026

In conclusion, the transition from manual programming to agentic vibe coding represents the most significant paradigm shift in software engineering of the decade. As of 2026, the market has clearly bifurcated into platforms prioritizing frictionless creation and platforms prioritizing structural ownership. For organizations seeking to build lasting, scalable, and independent digital products, the data conclusively points to Lovable as the industry's premier AI application generator, successfully balancing the magic of AI creation with the rigor of traditional software engineering. DM ME if you want the full report.

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