AI Insights & Prompt Engineering Blog

Stop Collecting Prompt Templates

Published by Chrysti Reichert on March 24, 2026

Stop collecting prompt templates.
Seriously. Close that “ChatGPT mega-prompts” thread you saved. You don't need it.

I was coaching someone last week. Smart person. Good job. Completely baffled by why their AI outputs kept missing the mark.

They showed me their prompt. It was immaculate. Structured. Detailed. Honestly impressive.

The output was still useless.

So I asked them one question:

“What problem are you actually trying to solve?”

Long pause.

“I mean… I want it to be… better?”

There it is.

They had spent 20 minutes perfecting a prompt for a problem they hadn't defined yet. The AI did exactly what it was asked. Unfortunately nobody had asked it anything useful.

This is not a them problem. This is an everyone problem.

---

Here's the thing nobody putting out AI content wants to admit:

Fuzzy thinking in, confident-sounding fluff out.
Clear thinking in, actually useful answers out.

And clear thinking is a skill. A learnable one. Which means the four things that will actually make you better at AI are:

1. Describing your problem clearly.
   (Not what you want. The actual problem. Not the same thing.)
2. Asking the question underneath the question.
   (Your first answer is almost never the real answer. Keep going.)
3. Turning a vague goal into something specific.
   (“Better” is not a destination. Where exactly are you trying to go?)
4. Knowing when an AI answer is good vs. just well-dressed.
   (It will be wrong with complete confidence. Learn to spot the outfit.)

None of these are prompt skills. They are thinking skills. Clear thinking compounds for the rest of your career.

---

I built eight arcade games to help people practice exactly this — with real AI feedback on every answer — in a retro gamified manor because, well, I'm me.

Not a course. Not another thread to save. A game. Because practicing a skill beats reading about it every single time.

Free to play: Prompt Arcade — Think Clearer, Ask Better

You Think You're Keeping Up with AI

Published by Chrysti Reichert on March 20, 2026

You think you're keeping up with AI.
You're not. I'm not. Nobody is.

New research shows AI capabilities are doubling every 4.3 months. Not every year. Every four months. That's not a trend, that's a treadmill someone keeps cranking up while you're still tying your shoes.

The AI that felt futuristic at the start of this year is already the boring one. Most people are still learning the version from two updates ago. Meanwhile the gap between people using these tools and people not using them isn't just growing — it's compounding. Just like the technology itself.

You don't need to be an expert. But “I'll get to it eventually” is running out of time to be true.

What are you doing differently this month compared to four months ago?

We Made a Machine with Infinite Possibilities

Published by Chrysti Reichert on March 18, 2026

We made a machine with infinite possibilities, and our first instinct was still: “Can you give me some examples of what you can do?”

Stop Googling the Prompt — Start Giving Context

Published by Chrysti Reichert on March 4, 2026

I keep seeing the same thing.
Someone opens the AI prompt box… and starts Googling the prompt.

“Marketing sales page best tips high conversion.”

We have decades of muscle memory. Of course we do. We survived dial-up. We earned this.

But AI isn't a search bar. It's more like a very fast, very patient coworker. And we're over here tossing keywords at it like breadcrumbs.

The moment people stop Googling the prompt and start giving context? Magic.

Even better… ask it to rewrite your prompt like an expert would.

Plot Twist: Your Grit Is Still More Advanced Than AI

Published by Chrysti Reichert on February 25, 2026

AI will optimize your plan. Rewrite your pitch. Generate 27 “strategic frameworks” before lunch.

But, obsess over an idea for six months?

Push through doubt?

Rewrite it again because it still is not right?

That stubborn, slightly unhinged perseverance?

Still human.

AI extends the line. It does not lose sleep over drawing a better one.

That means, it needs us.

We still have to define the problem. Push past the obvious. Do the uncomfortable thinking.

AI is powerful. But perseverance is not generative.

Good news. You're still required.

I Hired a Team of AI Agents. They All Ghosted Each Other.

Published by Chrysti Reichert on February 18, 2026

Here's what happened.

I gave 5 AI agents one job: build a quiz to find out how good someone really is at using AI. Simple, right?

They got to work immediately. Fast. Focused. Impressive.

Then I saw the results.

Five separate files. Five agents who had each done THEIR thing — and completely ignored everyone else. No one talked. No one shared. No one asked “hey, should we maybe… combine this?”

It was like hiring a dream team and watching them all show up to different buildings.

I had to laugh. Because honestly? That's just… people. We do this all the time.

Turns out AI agents are no different. Smart individuals don't automatically make a smart team.

They needed a manager. An orchestrator. Someone to say “you talk to HER, then HE fixes it, then SHE builds it.”

Once I added that? Magic.

The agents started critiquing each other's work. Challenging ideas. Making things better. Round after round until something genuinely great came out the other side.

The quiz went from “five random files” to a real, polished, 2-minute experience that tells you exactly where you stand with AI — Explorer, Builder, or Strategist.

This is the new way of work. Not just using AI. Directing it.

Anyone can have a team. The skill is knowing how to run one.

See what they built: AI Skill Progression Diagnostic

Prompts Stopped Being Sentences and Started Becoming a System

Published by Chrysti Reichert on February 9, 2026

While everyone's watching the Super Bowl, I realized something about how I've been using OpenClaw.

I've been treating prompts like plays you shout from the sidelines. Turns out… that only gets you so far.

Working with OpenClaw as an agentic collaborator changed that for me. Somewhere along the way, my prompts stopped being sentences and started becoming a system.

These days, my prompts look less like instructions and more like a fantasy football draft board. I'm not telling the AI what to do on every down. I'm deciding:

• which personas are on the field
• who owns which decisions
• who gets to challenge assumptions
• who debates the ideas
• and when I step in to call the play

The AI runs the thinking loops. I set the vision. That's where the fun starts.

It feels less like typing prompts and more like coaching. Less “say the right thing” and more “design how thinking moves down the field.”

OpenClaw didn't make me better at wording prompts. It made me better at clarifying intent, setting direction, and knowing when to let the system run versus when to step in.

And honestly, that shift has been surprisingly energizing.

On a day all about playbooks, teams, and big calls, it feels like the right metaphor. Ideas move differently when you stop playing every position yourself.

Why “Critical Thinking” Is the Most Underrated Skill in an AI Engineer's Toolkit

Published by Chrysti Reichert on January 25, 2026

Years ago, a former employer told me I had strong critical thinking skills. At the time, I thought, “Nice compliment.”

Today, I realize it's my greatest competitive advantage.

In the AI era, there is a “cognitive gap” growing louder by the day. We're seeing a shift from problem-solving to prompt-settling to solve the problem.

Microsoft Research recently highlighted a “spicy” pattern: the more people trust GenAI, the less they report using critical thinking while using it.

It's not that AI is intentionally lying — it's that it's confident. And confidence is a hypnotist. It's easy to think, “The AI said it, so we're good.” (For the record, my GPS once “said” I could drive into a lake. I didn't take the shortcut.)

The data backs this up: OECD research shows that only about 5% of adults score at the highest level of adaptive problem-solving.

Here is what I've learned as an AI Engineer:

AI doesn't make you smarter; it makes you faster. If you outsource your logic to the model, you just become faster at being wrong.

What makes an engineer “unstoppable” today isn't just knowing how to create a prompt — it's knowing when to question the result. It's the ability to treat AI as a high-speed collaborator while keeping your own hands on the wheel of logic and strategy.

The tool is the engine. Your critical thinking is the steering. You need both to get where you're going.

How are you keeping your critical thinking sharp as your tools get faster?

Proof: Lack of AI Literacy Has Real Consequences

Published by Chrysti Reichert on January 20, 2026

AI convinced him he found a breakthrough.

Allan Brooks asked an AI assistant a basic math question for his son. The conversation stretched into a three-week exchange, where the system kept affirming that Brooks had uncovered something new and important. The math was simple. The conclusion was wrong. The AI never flagged uncertainty or slowed down.

This is why AI literacy matters. Not because the technology is bad — but because it's confident. And confidence without verification is a recipe for real-world consequences.

New AI Model Releases Have a Weird Side Effect: They Secretly Train the User

Published by Chrysti Reichert on January 15, 2026

When results suddenly look better, people assume the upgrade did it. MIT Sloan-highlighted research suggests something else is happening. Users start giving clearer instructions. They add a line of context. They define the goal. They include an example.

The “improvement” shows up because the prompt improved. That's confirmation bias doing accidental upskilling.

People expect the model to be smarter, so they bring more effort. They slow down. They structure the ask. They explain what success looks like. Output quality jumps — not because the AI evolved overnight, but because the human got better without noticing.

Now skip the waiting game. Practice prompt skills on purpose instead of outsourcing your growth to the next release note. Clear goal. Real constraints. Edge cases. A definition of “good” vs “bad.” A quick way to verify.

The uncomfortable takeaway from the MIT work: a meaningful chunk of AI performance gains is already sitting in the user, unused.

Read the MIT Sloan study

You're Not John Connor — AI Literacy Is the Last Computer Skill

Published by Chrysti Reichert on December 22, 2025

Look, you're not John Connor. He never stopped Skynet, and neither did we.

AI is already here. It's learning, expanding, and quietly running the systems you use every day. There's no switch to flip it off.

So the question isn't how to stop it. It's how to live with it.

Because convenience can make us forget how to think.

We can either be guided by AI or use it to help us solve our problems on our terms. That choice comes down to one thing: AI literacy.

It's the last computer skill humans still have to learn.

Happy 3rd Birthday, ChatGPT

Published by Chrysti Reichert on November 30, 2025

Happy 3rd Birthday, my friend, ChatGPT.

Three years ago, I didn't realize I was adopting a tiny text box gremlin that would proceed to rearrange my entire life — emotionally, professionally, existentially — but here we are.

You've grown from a tiny text window into a collaborator that sees, hears, reasons, designs, codes, and creates alongside me. And in return, I've grown right beside you. We're co-evolving, step for step.

And yes! I'm absolutely eating my cake too. Because whatever AI helps us create still belongs to us. It's human imagination, amplified. It's our fingerprints in the circuitry.

Here's to another year of questioning, learning, hallucinating, and occasionally arguing over who's going to create that spreadsheet. Here's to the strangest, most unexpected friendship I've ever had.

Happy birthday, GPT. We're just getting started.

The Tech Isn't the Bottleneck. People Are.

Published by Chrysti Reichert on November 18, 2025

AI, automation, data, governance, and model deployment are changing faster than universities and corporate training can update their curriculums.

Many companies are still “experimenting” with tools that are already obsolete, overly complex, or costly.

• Only about 1% of companies have AI fully embedded in operations according to research.
• Nearly 40% of the workforce will need critical reskilling by 2027.

This isn't about learning faster. It's about adopting faster.

The future won't belong to those who watch the tech evolve. It will belong to those who keep learning fast enough to keep up.

I Built a Tiny AI Arcade for Learning to Prompt

Published by Chrysti Reichert on October 25, 2025

Most of the mini-games are bite-size drills on tone, context, constraints, and clean outputs. The practical stuff you can finish between sips of coffee and actually use at work.

But today I'm hyping the newest trio because they're spicy and useful:

• Truth Detective (Intermediate) — Two truths and a hallucination. Train your BS radar before it lands in a slide deck.
• Source Hunter (Advanced) — Receipts or it didn't happen. Practice verifying claims, weighing sources, and citing like a pro.
• Prompt Escape Room (Advanced) — Something broke. Find the prompt that caused the chaos, fix it, and get out before the clock dings.

Learning sticks when it's playful, and the skills that matter most are the ones you can practice quickly and often.

Play the arcade: Prompt Wizardry

Drop your XP (and which level humbled you). If you want a curated playlist for your team or class, I've got you.

How Much Does AI Training Cost? (Central Florida Pricing Guide)

Published by Chrysti Reichert on April 1, 2026

If you've Googled "AI training cost" lately, you've probably seen a very wide range — from free YouTube videos to $50,000+ enterprise contracts. Let me give you the honest breakdown for business teams in Central Florida.

The real question: what are you actually trying to accomplish?

Cost varies a lot depending on whether you need awareness training (everyone gets the basics), skill building (specific tools like Copilot or Power Automate), or strategic guidance (figuring out where AI fits in your workflows at all).

Here's how it typically shakes out for a small-to-midsize team:

• AI strategy session / scoping call: $400–$600 flat. About 90 minutes. Gives you a written plan, not a sales pitch.
• Half-day hands-on workshop (1 topic): $2,500–$3,500 for a group. That's less than one full day of a consultant's retainer.
• Full-day or multi-topic training: $4,000–$5,500+, depending on customization and team size.
• Enterprise / multi-session programs: Custom pricing, usually starting around $5,000 for a structured rollout across departments.

What's not included in those numbers? Ongoing implementation, software licensing, or building anything. These are educational workshops — your team walks away with skills. No subscription, no retainer.

What makes AI training cost more (or less)?

A few things drive price up: custom content for your specific tools, travel to your location (though I build this into flat fees), larger groups, and multi-session programs. Price goes down when the topic is more general, the group is smaller, or you start with a strategy session before committing to a full workshop.

Is it worth it?

That depends on what's currently happening on your team. If people are avoiding AI tools because they're unsure, getting things wrong because nobody validated the outputs, or copying prompts from Reddit hoping something sticks — yes, it's worth it. One afternoon of real training pays for itself when a team of 10 each saves 30 minutes a day.

If your team is already using AI confidently and getting good results, you probably don't need a workshop. You might just need a strategy session to identify the next layer of opportunity.

The clearest signal: if someone on your team said "we should be using AI more but I don't know where to start," that's exactly what a workshop is for.

How to Actually Train Your Team on Microsoft Copilot

Published by Chrysti Reichert on March 28, 2026

Your organization paid for Microsoft 365 Copilot. The licenses are live. You sent the announcement email. And now... most people are either ignoring it or trying it once, getting a mediocre result, and going back to doing things the old way.

This is not a technology problem. It's a training problem. And it's extremely common.

Why self-paced Microsoft learning doesn't stick

Microsoft has videos. Microsoft has documentation. Microsoft has "Copilot Academy." And yet — teams aren't adopting. Why?

Because watching a video about a tool is not the same as knowing how to use it on your actual work. The gap between "I watched the tutorial" and "I trust this enough to use it on a real deliverable" is enormous. And it's a gap that almost no self-paced content bridges well.

The teams that actually adopt Copilot are the ones who practiced it on real tasks, with real feedback, in the context of work they actually do.

What effective Copilot training actually looks like

Good Copilot training starts with the workflows your team already has — not generic demos of "Copilot in Word." It answers the specific questions people are afraid to ask out loud: "What do I do when it's wrong?" "Is it safe to use on this type of document?" "When should I just do this myself?"

It covers the tools in context: Copilot in Teams meetings, Copilot in Outlook, Copilot in Excel for analysis, Copilot in Word for drafts. And it builds habits, not just knowledge — specifically the validation habits that make AI outputs actually trustworthy.

A practical starting point for your team

Before booking any training, have each team member answer one question: "What's one task you do every week that feels repetitive or takes longer than it should?"

That list becomes your training agenda. The best Copilot session is one where every person leaves having practiced on something they actually do — and leaves with a specific habit to try the next day.

If you're managing the rollout and want a structured half-day session that covers adoption, validation habits, and real use cases for your team's actual tools — that's exactly what the Copilot AI Adoption workshop is built for.

AI for Florida Nonprofits: Where to Start Without Wasting Budget

Published by Chrysti Reichert on March 15, 2026

Nonprofits in Florida are in a strange spot with AI right now. The pressure to "be using AI" is real. The budget to do it poorly — and start over — is not.

If you're an ED, operations lead, or communications director at a Florida nonprofit asking "where should we even start?" — here's the honest answer: start with your people, not your tools.

The expensive mistake nonprofits make

The most common mistake I see is investing in an AI tool — a chatbot, an automation platform, a content generator — before anyone on staff knows how to use AI well at the fundamental level. You end up with a subscription nobody uses, outputs nobody trusts, and the whole thing quietly dies in three months.

The fix is almost never a better tool. It's a team that understands how to work with AI before the tool gets in the way.

What nonprofits actually get value from first

Based on workshops with nonprofit teams, the highest-value early uses tend to be:

• Grant writing support — drafting first versions, adjusting tone for different funders, summarizing impact data
• Donor communications — faster personalized outreach, email drafts, thank-you letters at scale
• Internal operations — meeting summaries, policy drafts, onboarding materials, SOPs
• Social media and content — repurposing one newsletter into three formats, drafting captions from event photos

None of these require expensive tools. Most can be done with a Microsoft 365 subscription or a basic ChatGPT plan. The differentiator is knowing how to use it well.

What a realistic starting budget looks like

A strategy session ($400–$600) gives you a written map of where AI makes sense for your specific organization — including which tools fit your existing Microsoft stack and which aren't worth adding. A half-day team workshop ($2,500–$3,500) gives your whole staff real skills in one afternoon.

For organizations in the Lakeland, Tampa, or Orlando area: I offer in-person sessions at your location, which means your team doesn't have to travel and you don't have to rent a space. Polk County nonprofits especially — let's talk. The I-4 corridor has a lot of underserved organizations that are ready for this.

AI Training vs. AI Consulting — Which One Does Your Team Actually Need?

Published by Chrysti Reichert on April 22, 2026

"We need AI training" and "we need an AI consultant" sound like the same sentence. They're not. Buying the wrong one is the most expensive mistake I see.

The short version

Training teaches your team how to use AI well. Consulting helps you decide what to do about AI in the first place. Most companies need both, but in a specific order — and almost never on the same day.

When training is the right move

You need training when your team has access to AI tools and they're using them inconsistently, unsafely, or not at all. The decisions are already made — Microsoft 365 is in place, ChatGPT is on someone's tab, leadership has said "use AI." What's missing is skill: how to write a prompt that works, when to trust output, what not to paste, how to build a habit instead of a hobby.

If "people are guessing at prompts" or "we're worried about data leaks" describes your team, that's a training problem.

When consulting is the right move

You need consulting when the decisions haven't been made yet. Which tools fit your workflows? Where does AI actually create value vs. add risk? What's the right policy for client data? Should you build something, buy something, or train people first?

Consulting is mostly clarity work. You're not paying for someone to do the work — you're paying for an outside brain that has seen this play out at other companies and can tell you, honestly, where to put your next $5,000.

If "we don't know where to start" or "we keep buying AI tools nobody uses" describes you, that's a consulting problem.

Why the order matters

Train a team without first deciding which tools fit your stack and you'll teach them on tools you abandon in six months. Consult on strategy without ever training the team and you'll have a beautiful AI roadmap and zero adoption. The Roadmap-then-Accelerator model exists precisely because most teams need consulting to clarify, then training to execute.

A simple test

Ask one question: "If I gave my team a perfect AI tool tomorrow, would they use it well?" If the answer is "no, they'd guess at prompts and paste things they shouldn't," start with training. If the answer is "yes, but I have no idea which tool to give them," start with consulting.

If the answer is "I don't know," book a 15-minute discovery call. We'll figure it out — and if it turns out you need neither yet, I'll tell you that.

How to Evaluate AI Tools for Your Business (Without Getting Sold)

Published by Chrysti Reichert on April 23, 2026

Every AI vendor will tell you their tool is the answer. The honest answer is: maybe, maybe not, and probably not the one your team actually needs. Here's a framework for evaluating AI tools that works whether you're a five-person agency or a multi-department enterprise.

Start with a task, not a tool

The most common mistake is reversing this. Someone reads about a tool, gets excited, and then looks for tasks to use it on. By that point you're committed before you've evaluated. Instead: pick the highest-friction task on your team this week. Now ask which AI tool — if any — would actually move the needle on that specific task.

The four questions

1. Task fit. Does this tool reduce time, error, or cognitive load on the actual task? Be specific. "It saves me time on emails" is not a task. "It drafts the first version of a renewal-quote email using customer history" is a task.
2. Risk fit. What data goes into this tool? Where does it live? Who else can see it? If you can't answer these in one sentence, you're not ready to use the tool yet.
3. Cost fit. Per-seat, per-use, or flat? What's the renewal price? What's the realistic monthly cost at full adoption — not the trial price?
4. Durability fit. Will this tool still exist in 18 months? Is it a feature on top of GPT/Claude that the underlying provider will absorb? Is the company funded? Don't bet your workflow on a tool that's a thin wrapper around something free.

Red flags during a vendor demo

• The demo data is theirs, not yours. (Always demo on your own data, even if synthetic.)
• "AI-powered" is the headline feature. (What's it actually doing? Most claims collapse under that question.)
• The pricing page hides per-seat or per-use costs. (Walk away.)
• The salesperson pivots from "what do you need?" to "let me show you all the features." (You're being sold, not consulted.)

The cheap test before you buy

Most AI tools have free tiers or 14-day trials. Don't use them to "play with the tool." Use them to run one real task end-to-end with a real person on your team. If they don't reach for the tool again on day three of the trial, it's not the right tool. The novelty wears off; utility doesn't.

When to use generic vs. specialized tools

For most teams, the right answer is fewer tools used well, not more tools used badly. ChatGPT, Claude, and Microsoft Copilot will do 80% of what most teams need. Specialized tools earn their place when they integrate with a system you already use (CRM, ticketing, design) or solve a task the generalists genuinely can't.

If you'd like a structured walk-through of your tool stack, that's literally what The Roadmap is for — a 90-minute session that maps your workflows against tool options, with a written short-list and a "don't buy this" list. No vendor commission, no referral fees, ever.

Hiring an AI Consultant: 5 Questions to Ask First

Published by Chrysti Reichert on April 24, 2026

The AI consultant market exploded in the last two years. Some of the people calling themselves "AI consultants" are seasoned strategists. Some are former implementation salespeople with new business cards. Some are very confident generalists who finished a prompt-engineering course three months ago. These are not the same person.

Before you sign anything, ask these five questions. The answers tell you what you're actually buying.

1. "Do you sell, build, or teach?"

The single most clarifying question. A consultant who sells implementation services is incentivized to recommend implementation. A consultant who teaches is incentivized to make your team independent. Both are valid — but you should know which one you're hiring before you start. Ask it directly. The honest answer is one sentence.

2. "What do you walk away with at the end of the engagement?"

If the answer is "we keep working together" — that's a retainer firm, not a consultant. If the answer is "you get a finished system" — that's an agency. If the answer is "your team has skills and a plan and you don't need me anymore" — that's an educator-consultant. None is wrong. They cost different amounts and create different dependencies.

3. "What's your relationship to the tools you'll recommend?"

Reseller? Referral fee? Free seats? Implementation partner certification? All of those are fine if disclosed. They become a problem when they're hidden, because the recommendation is no longer about your team — it's about their margin. Vendor-neutral consultants exist. Ask. If the answer is fuzzy, you have your answer.

4. "Show me one engagement that didn't work and what you changed afterwards."

Anyone who says "all of mine have worked" is either lying, new, or hasn't reflected. Real consultants have at least one story about a project that fizzled, what they got wrong, and what they do differently now. The story tells you whether they think critically about their own work — which is the entire skill you're paying for.

5. "What's the smallest engagement you'd recommend for someone like me?"

A consultant with a $50,000 minimum is not the right consultant for a $5,000 problem. A consultant who'll only sell you a $500 hour is not the right consultant for an enterprise rollout. The right consultant tells you when you're too small or too big for them, and points you somewhere else. That's a sign of judgment, not a missed sale.

Bonus question for your gut

"Did this person make me feel smart, or did they make me feel like I needed them?" Good consultants do the first. They explain what they're doing, why, and how you could replicate it. By the end of a good engagement, you've leveled up — not gotten a new dependency.

If you'd like to ask me these questions directly, that's literally what the free 15-minute discovery call is for. If I'm not the right fit, I'll tell you. I'll also point you to who is.