Zenith Performance Solutions
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ZPS is your path to employee excellence. We offer learning and development services that #ignitelearning .
Whether it is eLearning, virtual Instructor Led Training, or Instructor-Led Training, let us help you create custom content. We offer the following services:
* Custom Course Development (Instructor Led, eLearning,mLearning)
* Technical Writing
* Business Skill and Technical Training Delivery
* Leadership Consulting and Coaching
* Learning Management System Consulting
06/13/2026
Honest confession from an in-house ID: I used to spend 30 minutes building SME interview questions from scratch before every kickoff.
Not because it was hard. Because I knew what I needed to find out and it just... took time I didn't have.
Now I give AI the brief, the performance context, and the meeting window. It drafts a starting set of behavior-centered questions in minutes. I edit them for the SME, the context, and the gap I'm actually trying to understand.
30 minutes down to 10. And my kickoffs are better because I'm not scrambling to write questions on the drive over.
This is where AI earns its place in an ID workflow. Not the thinking. The setup before the thinking.
What's one task in your workflow that's technically correct but just... takes too long? Might be worth trying this with.
How I’m using AI today: for every new project that I start, I typically create a project folder and then I upload all of the information related to that project. I add files instructions and sometimes a skill file. Then Claude and I start collaborating.
You don’t have to start from scratch every time a proposal lands on your desk.
I sat down with Claude and built a custom skill file that generates my ZPS proposals exactly the way I want them. Same structure, same tone, same brand. Every time.
But the part I want you to take away isn’t about my proposals.
If you’re in-house, you’re building the same documents over and over. Training proposals for stakeholders. Onboarding outlines. Project scoping docs. Post-training summaries. Any document with a repeatable structure is a candidate for this.
You train the AI on your context once. It learns how your organization thinks, what your proposals need to include, and how to get to a usable first draft fast. You focus on the part that requires actually knowing your audience.
You already have the expertise. This just gets you to the draft faster.
What’s the document you rebuild from scratch every single time? Drop it below. 👇
Team of one problems: nobody to catch what you miss before a deadline. Here’s one way to pressure-test your own work when the office is empty.
06/10/2026
You're not using AI wrong. You might just be skipping the step that matters most.
AI gives you a starting point. A faster first draft. A pressure-test you didn't have time to run on your own.
It does not give you a finished product.
The IDs who are using AI well in their workflow aren't trusting the first output. They're editing it for their learners, their organization, and the performance problem they're actually solving.
That's the difference between AI content that lands and AI content that feels like it was written by no one, for no one.
One thing to try this week: take your next AI output and read it like your most skeptical stakeholder would. What would they push back on? What doesn't sound like your organization? That's where your expertise shows up.
Where are you in your AI workflow right now? Still exploring, or have you landed on what works?
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The way most people try to start with AI isn’t working. Here’s what actually does. One tedious task. Real context. See what comes back. Edit it. Repeat. Come learn with us inside Ignite Learning. Link in bio.
06/05/2026
Honest truth about your first AI output: it probably won't be great.
And that's exactly why you should try it.
The gap between what AI gives you and what you actually need? That's where your expertise lives.
Every time you edit the output, you're clarifying what "good" looks like in your context, for your learners, inside your organization. You're building a working relationship with a tool that gets better the more specific you are.
The first try isn't supposed to be the final output. It's supposed to be the beginning of a process you'll keep refining.
Your standards don't disappear when you use AI. They're what make the AI useful.
Start with something low-stakes. Expect to edit. Notice what you change. That's it.
What did you have to fix the first time? Tell me below.
First AI output not great? Good. Here’s why that’s actually part of the process. Your expertise doesn’t disappear when you use AI. It’s what makes the output useful.
Using AI I upgraded my Articulate Rise custom html block and added photos which AI packaged up into a nice zip file and allowed me to upload into my mighty articulate rise block.
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