Cingularis

AI is developing faster than humanity is.

We spend billions making machines more capable. We should be putting equal energy into strengthening the human abilities those machines can imitate, assist, and slowly weaken if we stop using them.

I keep coming back to three: connection, creativity, and morality.

❤️ Connection has to be practiced. Real relationships require patience, vulnerability, forgiveness, service, and the occasional Saturday helping somebody move. AI can simulate attention. Community still requires people.

🎨 Creativity has to be exercised. AI can generate music, images, jokes, and writing, but humans bring the experience, emotion, contradiction, curiosity, and perspective that give those things meaning. Lead with your heart and finish with your brain.

⚖️ Moral judgment has to be developed. We need to wrestle with difficult choices, listen to other people, weigh consequences, and own our decisions. A machine can help us think through a dilemma. It cannot carry the responsibility for us.

This is bigger than using AI responsibly. We need schools, businesses, faith communities, families, and civic organizations that actively develop these human capacities. Humanity has to advance alongside AI.

Otherwise, we risk collective soul drift: millions of small choices where convenience quietly replaces connection, creativity, and judgment.

Every person and every organization needs an AI Ethos that answers one hard question:

What must we keep doing ourselves so we continue to become more human?

https://cingularis.com/collective-soul-drift-developing-humanity-alongside-ai/

ChatGPT just came out with their new guidelines for prompting GPT 5.6. I share a few thoughts on how this applies to small business and nonprofits. In my opinion, 5.6 is the most significant update we've seen in quite a while (an "AI while" not a normal "while"). Have you tried it? What are your thoughts/experiences?

https://cingularis.com/gpt-5-6-prompting-with-context-judgment-and-soul/

Probably the most common question I get is which "model" should be used within an AI -- what's more confusing than Claude's Haiku, Sonnet, and Opus, along with fast versus thinking modes?? Maybe that's just me, lol.

Anyway, here's my take on the different modes within the models. And it can be simple.

https://cingularis.com/ai-fast-v-thinking-mode-should-you-wait-for-a-better-answer/

AI can help you get unstuck, organize your thoughts, clean up a messy draft, and see something you missed.

But there’s a somewhat hidden danger in there, too.

The more we let AI do the first round of thinking for us, the easier it gets to forget that our own first thoughts still matter. Our experience matters. Our gut matters. Our weird little collection of stories, scars, opinions, lessons, and customer conversations matters.

That’s the stuff AI doesn’t have.

So before you ask AI to write the next thing, take 17 seconds and ask:

Am I using this to help me think better?

Or am I giving away too much of the part that makes this mine?

That’s where soul drift starts.

Read the full post here:
https://cingularis.com/ai-cognitive-offloading-and-the-risk-of-soul-drift/

I started thinking about how sycophantic AI can feel a lot like the manipulative side of NLP: mirroring, validating, and gently leading people away from their own judgment. That led me to the bigger concern I call soul drift, when a business starts letting AI pull it away from its mission, purpose, expertise, and heart.

If a company has a strong mission statement, a clear vision for how it wants to make the world better, and a real sense of purpose, all of that should shape how it uses AI.

https://cingularis.com/soul-drift-part-2-how-sycophantic-ai-can-pull-your-business-away-from-its-purpose/

I’ve been thinking a lot about AI agents and the quiet risk of "soul drift": not that they’ll destroy your business, but that they might slowly sand off the judgment, empathy, and voice that made people trust you in the first place. Your business was built around your heart, passion, expertise, guts...your Soul.

Efficiency matters. But for small businesses and nonprofits, the better question is: at what cost efficiency?

Read the blog: https://cingularis.com/ai-agents-without-soul-drift-a-guide-for-small-businesses-and-nonprofits/

For decades, “smart” mostly meant connected. Smart homes, smart watches, smart cars, smart appliances — useful, yes, but not always truly smart.

The future of AI changes that. AI is starting to make technology more conversational, more responsive, and more aware of context. Not magic. Not replacement. Just tools that better understand what people actually need.

🤖 Smart used to mean devices could talk to each other
☕ Soon, your coffee maker may understand your routine instead of making you fight tiny buttons
🏡 The best AI will not show off. It will quietly help
🧠 AI may not be truly intuitive, but it can use context to act more thoughtfully
❤️ For small businesses and nonprofits, the opportunity is not to replace your expertise. It is to add AI in ways that make your service easier, warmer, and more useful.

At Cingularis, we call that AI Solutions with Soul: helping businesses that do good do even good-er.

The real question is not, “How do we add AI because everyone is talking about AI?” The better question is, “Where could AI make working with us more intuitive, more conversational, more helpful, and more human?”

Read the full post here: https://cingularis.com/future-of-ai-when-smart-finally-gets-smart/

Want to brainstorm what that could look like in your business? Comment “FUTURE,” and I’ll reach out to schedule a session.



Image made using ChatGPT :)

I've been thinking about AI governance after reading Dario Amodei's recent essay on AI policy. The more I thought about it, the less convinced I became that the central challenge is expertise.

Industry understands the technology, but carries its own incentives. Government has authority, but struggles with speed and understanding. Citizens may not understand the technical details, but they're the ones who will live with the consequences.

That led me to a question: Is AI governance really a technology problem, or is it a trust problem?

I explored that idea in my latest article:
https://cingularis.com/ai-governance-has-a-trust-problem/

I'm curious where others land on this: Who do you trust most to help govern AI: industry, government, citizens, or some combination of all three?



AI image. No duh, lol.

One of the biggest mistakes people make with AI is asking it to write their content for them.

Instead, ask it to interview you. Have AI act like a journalist. Let it ask questions one at a time. Answer using voice-to-text. Share your experience, expertise, opinions, and stories. Then let AI organize those thoughts into a blog.

The difference is huge.

When you start with a generic prompt, you often get generic content. When you start with your own voice, you get content that sounds like you. Your audience doesn't connect with AI. They connect with your perspective.

In my latest article, I share the process I use to create blog content that keeps the human at the center while still taking advantage of AI.

Read it here:

https://cingularis.com/how-to-write-a-blog-with-ai-without-losing-your-voice/

How are you using AI for content creation these days? Are you starting with a prompt or a conversation?

If you'd like help with this, comment "Blog" below, and we'll set up a quick Google Meet to get you going in the write direction.

A few years ago, one of the biggest concerns about AI was hallucination.

I remember having AI write content and thinking, "Where did you come up with that?" It would confidently make things up, and it was frustrating.

The good news is that AI has improved dramatically. Hallucinations are less common than they used to be. But I think we've discovered a different challenge.

AI isn't a traditional computer program.

Most software follows a predictable path: input, processing, output. AI is different. It's generating responses based on patterns, context, and probabilities. That makes it incredibly powerful, but it also means it's not always predictable.

I was reminded of this recently while using a custom GPT I built to analyze the "humanness" of writing. It had a very specific format to follow and had been doing it consistently for weeks. Then one day it ignored the format entirely and produced something completely different.

Nothing was broken.
Nothing had changed.
It just happened.

That's one of the realities of working with AI. Sometimes the output is excellent. Sometimes it misses the mark. Sometimes it does something unexpected.

The lesson is that AI still requires human judgment. Question the output. Review the work. Verify important details. Use your expertise.

I often tell people to bring their heart, passion, and experience into their work with AI. I'd add one more thing:

Lead with your heart.
Use AI as a tool.
Finish with your brain.

AI can help us think faster, create faster, and solve problems faster.

But we're still responsible for the final result.

Here's the full blog: https://cingularis.com/why-ai-still-needs-your-brain/

P.S. This piece got an 8.2/10 on my PulseCheck AI :) Also, image created by AI, as if you couldn't tell. :)