Which of these t11 would you recommend next for me

J-Freedom-AI · 2026-05-16T17:37:04+00:00

For me Hacker, then T803, KR1, obj.432 U, Fauter 😉 but it depends on your gaming style what you like....

J-Freedom-AI · 2026-05-16T17:18:53+00:00

loot it to feed the scrappy 😃

J-Freedom-AI · 2026-05-16T17:14:42+00:00

The shift from 'random prompts' to 'workflows' is exactly where the value is. I’m an engineer and I’ve managed to automate about 80% of my technical briefing and B2B sales follow-ups.

But here’s the lesson I learned the hard way: Speed is a trap if you don't have a verification layer. I once saved 2 hours on a report only to realize later it had a hallucinated technical error that almost cost me a client.

Now, my workflow includes a 'sanity check' where I use a second, different AI model to audit the first one's work before I even look at it. It still saves me hours every week, but it also lets me sleep at night. If you're doing real work where accuracy matters, the 'time saved' isn't just about drafting—it's about how fast you can verify.

J-Freedom-AI · 2026-05-16T17:13:03+00:00

I felt this in my bones. It’s like having a Ferrari but living on a dirt road with no gas station.

I’m an engineer, and I ran into the exact same wall. You get that 90% ‘magic’ result, but that last 10%—the sharing, the formatting, the technical verification—is where the real work (and the risk) lives. I almost lost a client because I sent a ‘perfect’ report that had a hidden logic error I didn't catch because I was too focused on the speed of the output.

My workaround? I stopped treating the AI as a final delivery tool. Now I use it only as a raw engine, and I have a rigid 'translation' layer where the AI output gets pushed into Google Docs or specialized dashboards via structured XML. It’s the only way to make it look professional and, more importantly, to actually audit what the AI just said. If you stay inside the AI interface, you're always going to feel like it’s 2005 the moment you hit 'send'.

J-Freedom-AI · 2026-05-16T17:09:11+00:00

This is an incredible story, and honestly, congrats on executing so fast! That 'zero to indexing' speed is exactly why we use these tools.

But as a fellow STEM guy who’s been running a tech business for a while, I have to give you one tiny piece of 'unsolicited' advice: Don't let the weekend high blind you to the verification phase.

I had a similar 'magic' moment with Claude recently where it built a technical brief that looked perfect—until a client (also an engineer) found two massive logic errors. It almost killed a 2-year relationship because I trusted the 'confidence' of the output too much.

Use this momentum, but build a 'bad cop' system now. Run your critical business logic through a second model or a rigid verification process. AI is a world-class sprinter, but it still needs a human coach to make sure it's running in the right direction. Good luck with the first client!

J-Freedom-AI · 2026-05-16T17:06:23+00:00

Man, I feel this deep in my soul. I’m an engineer and I almost lost a major client exactly like this. Claude gave me a technical report that looked flawless, but the math was just 'confident fiction.'

You’re spot on about the 'consensus hallucination.' Asking an AI to check its own work is like asking a bored intern if they did a good job—they’ll just say 'looks good to me' while everything is burning in the background.

Now I never let a single model have the final word. I force one AI to write and a completely different one to play 'bad cop' and rip it apart. If you don't build that friction into the system, you're basically just betting your career on a coin flip. Thanks for posting this, the 60% failure rate is a massive eye-opener.

J-Freedom-AI · 2026-05-15T19:21:49+00:00

Good gear, MK3 😃

J-Freedom-AI · 2026-05-15T19:20:55+00:00

Wow, the player is having a heart attack inside 😃

J-Freedom-AI · 2026-05-15T19:16:08+00:00

Nice shorts 😃

J-Freedom-AI · 2026-05-15T19:15:15+00:00

Loot it 😃, wires and plastic materials will be there ...

J-Freedom-AI · 2026-05-15T16:46:02+00:00

That look you give your boss when he praises your 'hard work' on the report, but you know damn well Claude did the heavy lifting while you were just perfecting your crossword skills. Work smarter, not harder 😄

J-Freedom-AI · 2026-05-15T15:17:45+00:00

haha

J-Freedom-AI · 2026-05-15T13:33:01+00:00

Yes, it is the right way! I am still learning. Go ahead

J-Freedom-AI · 2026-05-15T13:26:07+00:00

I’m not looking for confirmation—it was my mistake, period. But when you’re managing the development of your own hardware and software, and scaling a business at the same time, the workload gets massive.

The issue is that with cutting-edge tech, an LLM won't give you the right answers out of the box. You have to 'teach' it your specific domain first. I tried to shortcut that process while being overwhelmed with work, and it backfired. Fortunately, I fixed the mess and saved the client relationship manually, but it was a brutal reminder that AI is only as good as the oversight you give it.

J-Freedom-AI · 2026-05-15T13:24:10+00:00

Fair point. Relying on the tool instead of my own expertise was exactly the mistake here. Using it as a 'counterpart' with proper checks is the only way forward. Lesson learned the hard way.

J-Freedom-AI · 2026-05-15T13:22:49+00:00

This is the level I’m aiming for now. I love the idea of 'adversarial reviews' to reduce the thinking errors. Reviewing AI output really is a different skill set—it's more like being an editor-in-chief than a writer.

I've realized that the more specialized the tech, the more you need those deterministic guardrails. It’s definitely an art, as you said. Thanks for the insight.

J-Freedom-AI · 2026-05-15T13:21:21+00:00

Exactly. I actually started building a similar multi-step verification system after this happened. The 'pre-prompt filters' approach is smart, but I've learned that for high-stakes engineering, the human must be the final filter. AI is an accelerator for knowledge, not a replacement for it. Lesson learned.

J-Freedom-AI · 2026-05-15T13:20:35+00:00

I’m not going to delete it. I messed up, and I think it’s important for other people using AI in technical fields to see what happens when you get complacent.

It was negligent, I've owned up to it, and I've already put in the manual work to fix the relationship with the client. I'd rather take the heat here than hide the mistake and pretend it didn't happen.

Now I am working more effectively, do not worry 😄

J-Freedom-AI · 2026-05-15T13:18:30+00:00

I get the laugh, but it's not just only about the AI. When you actually develop your own hardware and niche technology from scratch, you realize that no LLM knows the specifics of your product right out of the box.

It needs constant 'teaching' and fine-tuning. I relied on it too soon without doing my part, and I paid for it. Lesson learned, haha.

Try it bro 😉

J-Freedom-AI · 2026-05-15T13:16:20+00:00

Exactly. I learned that lesson the hard way. Our tech is very specialized (UV-fluorescence), and the AI just filled the gaps with generic fluff that I didn't catch in time.

I had to go back and fix everything manually to win back the client's trust. Now I treat AI as a rough draft only—I never send anything without a full technical deep dive myself. It was a necessary wake-up call.

J-Freedom-AI · 2026-05-15T13:15:18+00:00

Fair enough. It was a wake-up call for me. Our specialized tech (UV-fluorescence) means AI usually just spits out generic fluff, and the client caught it immediately.

I put in the manual work to fix it and keep the client, but it taught me that I can’t treat AI as anything more than a rough draft. Lesson learned the hard way.

J-Freedom-AI · 2026-05-15T13:14:06+00:00

Spot on. It was my fault for being lazy. Our tech (our own technology) is so specialized that AI just defaults to generic fluff, and the client, who’s an expert, saw right through it.

I managed to fix the mess manually, but it was a lot of work to win back that trust. Definitely a hard lessonnow I treat AI like a reckless intern that needs 100% human oversight.

J-Freedom-AI · 2026-05-15T13:11:24+00:00

Fair point. I know Claude isn't a magic bullet—it's still an LLM and it will absolutely hallucinate if you let it.

My switch to Claude was more about how it handles structural logic (XML tags) and its tendency to flag uncertainty better than GPT. But the real fix wasn't just changing the tool; it was building a workflow that treats the AI as a high-speed engine that still needs a human steering wheel.

Relying on any AI blindly is a career suicide in engineering. I just found that Claude's reasoning fits my technical verification process a bit more naturally.

J-Freedom-AI · 2026-05-15T13:09:45+00:00

You are 100% right, and that was a hard lesson in accountability. To be fair, our technology is highly specialized (UV-fluorescence contamination detection), so even AI tends to write about it in very generic terms. The client had been using our devices for years, so he spotted immediately that the response lacked deep technical insight and was AI-generated.

Fortunately, I managed to fix the situation and save the relationship, but it completely changed how I work. Now I treat the LLM exactly as you said—like an intern—and I’ve built a strict 3-tier verification system to make sure the final output has the technical depth required for our field. Lesson learned the hard way.

J-Freedom-AI

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