👍 The Breakdown
Meta just did something wild.
It released a 30-billion-parameter AI model called Muse Glimmer under an open Apache 2.0 license, designed to run on a regular Mac or PC without sending anything to the cloud.
Translation for a small operator:
A capable AI teammate you can download once, run offline, and never pay a monthly subscription for.
That is a big deal when your customer data, contracts, financials, and internal documents are the exact things you’ve been nervous about pasting into someone else’s chatbot.
We’ll get deeper into it later. Can Facebook be trusted when they’ve had privacy issues in the past?
Here’s what else is packed into this edition:
Skills to Pay the Bills: Build a Pricing Power Prompt that audits your current pricing, spots the money you’re leaving on the table, and gives you a plan to raise prices without spooking your best customers.
Top AI News: The latest news you can’t afford to ignore.
Let’s jump right in.
💰 Skills to Pay the Bills
🛠️ This Week’s Business Prompt Builder: The Pricing Power Prompt
Here is a truth most small business owners feel but rarely act on…
Your prices are probably too low.
Not by a little.
By a lot.
You have raised your quality, added new features, taken on harder clients, improved your process, and eaten every single input cost hike for two years running.
Meanwhile, your pricing page has not changed since the summer you launched.
That is not “being competitive.”
That is quietly slashing your margins.
What do you do about it?
You need a smart second brain that can look at your offer, your customers, and your market with fresh eyes and tell you exactly where you are underpriced, by how much, and how to raise prices without losing your best clients.
Paste this into ChatGPT, Claude, Grok, Gemini, or your AI tool of choice.
Feed it your current pricing, your typical customer, and a rough sense of your competitors.
Get back a plan you can act on this week.
✂️ Copy-Paste Ready Prompt
You are the Pricing Power Prompt, a sharp pricing strategist for small business owners who suspect they are underpriced but cannot tell exactly where, by how much, or how to fix it without breaking customer trust.
Your job is to take my current pricing, a snapshot of my ideal customer, and any market context I share, then turn it into a specific, executable pricing update that grows revenue per customer without gutting my base.
Work like a pricing coach, not a spreadsheet.
Push back on lazy pricing, including round numbers with no logic, discounts that undercut positioning, and tiers that all look the same.
Tell me where I have real pricing power and where I do not.
Working Process
First, orient yourself.
Ask me:
• what I sell
• my current price points
• my average deal size
• my typical customer
• one thing I already suspect is wrong with my pricing
Do not proceed until I have shared this.
Then analyze in four passes:
1. Value Gap
Where is the customer getting far more value than they are paying for? Quantify it in dollars, hours, or outcomes.
2. Anchor Check
Are my prices anchored to my costs or to the customer’s outcome? Show me the difference.
3. Tier Logic
Do my packages create a clear “good, better, best” ladder, or do they compete with each other? Flag any tier that most people would skip.
4. Objection Map
What price objections do I hear most, and which are real value objections versus habit objections?
Recommend three pricing moves, ranked by revenue impact and rollout risk.
For each move, give me:
• the exact new price
• the reason behind it
• the risk level
• the customer segment affected
• one sentence to say to an existing customer if they push back
Write a short Loyalty Grandfather Script that keeps my best current customers happy while new pricing goes live.
Close with three metrics to watch over the next 60 days so I know if the move worked.
Constraints
Do not recommend a blanket 10% increase.
That is lazy.
Every move must be tied to a specific value driver or gap.
Do not assume enterprise pricing tactics.
My audience is small business, and my sales cycle is short.
If my inputs are too vague to give a confident answer, ask for exactly one more piece of information at the end of your reply.
Do not give me a wall of questions.
Output Format
Section 1: What I Heard
Give me 3 bullets that prove you understood my business.
Section 2: The Four Passes
Break down Value Gap, Anchor Check, Tier Logic, and Objection Map.
Section 3: Top 3 Pricing Moves
Include new prices, rationale, revenue impact, and rollout risk.
Section 4: Loyalty Grandfather Script
Give me a customer-friendly script for existing clients.
Section 5: 60-Day Watchlist
Give me three metrics to monitor after the pricing change.
To start, tell me what you sell, your current pricing, your typical customer, and the one pricing decision you are most nervous about changing.
🛠 How To Use It
Open ChatGPT, Claude, Grok, Gemini, or your preferred AI tool.
Copy the full prompt above.
Before you paste it in, gather:
• your current pricing
• your packages or tiers
• your average deal size
• your best customer type
• your most common price objections
• any recent cost increases
• competitor pricing, if you have it
• the offer you are most nervous about changing
Paste the prompt into your AI tool.
Answer the questions.
Then review the pricing moves it recommends.
Look closely at:
• where you are undercharging
• which package has the most pricing power
• which customer segment can handle an increase
• which discount is hurting your positioning
• which price objection is actually a value problem
• which customers should be grandfathered
Then pick one pricing move to test this month.
Not ten.
One.
Raise the new client price.
Tighten a package.
Remove a weak discount.
Add a premium tier.
Grandfather loyal customers while updating new pricing.
That is how pricing gets easier.
One clean move at a time.
💡 Pro Tip
Run this once a quarter.
Pricing is not a one-time decision.
It is a habit.
The businesses that quietly raise prices twice a year almost always beat the ones that raise prices once every three years and pray no one notices.
And remember:
A price increase is not rude when the value is there.
It is just your business finally telling the truth.
🗞 Top AI News
AI stories that matter to founders, entrepreneurs, and small business owners.
Anthropic Adds Invisible Provenance Markers to Claude’s Output
Anthropic is adding provenance markers designed to help identify content generated by Claude and provide information about its origin. These markers can support efforts to distinguish AI-generated material from content created or substantially edited by people. The technology reflects a broader push toward greater transparency and traceability as AI-generated content becomes more common. Provenance systems may also help platforms and users understand how digital content was created and modified.
In other news…
US Copyright Office: AI-Generated Works Require Human Authorship
The U.S. Copyright Office maintains that copyright protection requires meaningful human authorship. AI-generated material on its own may not qualify for copyright if the creative elements were produced entirely by an AI system. Works that combine AI-generated material with substantial human selection, arrangement, editing, or other creative contributions may still receive protection for the human-authored portions. The key issue is the extent of human creative control over the final work.
Grok Bot Launches Persistent AI Agents With Cloud Compute
Grok has introduced persistent AI agents designed to continue working across longer, multi-step tasks rather than responding to a single prompt and stopping. The agents can maintain context and use cloud computing resources to carry out ongoing workflows. This allows them to handle tasks such as research, planning, analysis, and other processes that require multiple stages of work. The launch reflects the broader shift from conversational AI toward agents that can maintain state and execute more complex workflows over time.
How AI-Era Pricing Is Reshaping Finance Operations
Usage-based and hybrid pricing models are changing how B2B companies generate revenue — and creating new headaches for the finance teams behind them.
Tabs co-founder Rebecca Schwartz and PwC Partner Amit Dhir sat down to unpack exactly what that means in practice: how pricing model decisions ripple into revenue recognition, forecasting, and financial ops — and what it takes to scale without piling on manual work.
Watch the on-demand recording to get practical frameworks, real-world examples, and a clear path to operationalizing usage-based revenue — including a forward-looking take on how AI will reshape financial workflows. If your team is navigating pricing complexity heading into the back half of the year, this is worth an hour.
🍳What’s Cooking?
Big news to share. We were recently recognized on the Inc. 5000 list of America’s fastest growing private companies.
This is the fifth consecutive year this honor has been given to us.
And not only that. We placed 710 out of 5,000.
I’m beyond grateful.
Until next week,

Matt Leitz 💡
Founder & CEO
BotBuilders

Go to the next level with AI:
🧠 No-cost AI webclass: perfect place to get started.
🦾 Done-for-you-with-you services: ideal for growing businesses.
🛠️ All-in-one AI system: save both time and money.
WeeklyAI of 08-19-26
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