
π PromptWire β Christmas Edition
2025 Wrapped, 2026 Loadingβ¦
Hey β before anything else, thank you for following along this year!
Whether youβve read every issue, skimmed a few, or quietly opened them with a coffee, I really appreciate you being here.
If youβre reading this somewhere between leftovers, half-packed bags, or that strange end-of-year stretch where the calendar loses meaning, welcome.
This is the final PromptWire of the year.
I didnβt want to finish with a huge guide or a heavy checklist. December isnβt built for that. Instead, this issue is about ideas that sit comfortably in the background, the kind you can reflect on over the break and return to when things pick up again.
One pattern stood out this year:
AI works best when it takes care of the repeatable, slightly boring work quietly, not when it tries to do everything.
So this edition leans into that:
One tool that makes starting feel lighter.
One simple automation that clears mental clutter.
One service idea that solves a real, ongoing need.
And one shift thatβs already shaping how weβll work next year.
Letβs close out the year properly.
βοΈ Tool of the Week
Lovable is useful for a very specific moment: when youβve got an idea, but staring at a blank page feels like a chore.
Instead of starting with layouts, tech choices, or a long planning doc, you just describe what you want in plain language; what itβs meant to do, who itβs for, and what someone should be able to achieve with it. Lovable then turns that description into a working starting point you can actually interact with.
From there, you can shape and refine whats there by describing changes such as adding a page, adjusting the wording, introducing a feature etc.
It works well for:
Small tools that support your own workflow
Early versions of products or services
Internal dashboards or utilities youβve postponed
Experiments you want to explore before committing real time
Going into 2026:
Work is shifting away from big, one-off builds and toward smaller, purpose-built tools. More people are creating their own systems instead of waiting for the βrightβ product to exist.
Lovable fits that shift. It lowers the difficulty between idea and execution, which means more experiments, more learning, and fewer ideas stuck in notes.
Lovable doesnβt replace thinking or judgment. It shortens the distance between βthis might be usefulβ and βI can actually try this.β Thatβs exactly the kind of leverage that compounds over time.
π§ The Big Shift to Watch in 2026
The biggest change isnβt smarter models. Itβs where AI shows up in your day.
Weβre moving away from open a tool, ask a question, close the tab. Instead, AI is sliding quietly into the work you already do: email, documents, planning, follow-ups, handovers. Less prompting. Less context resetting. More continuity.
By 2026, the people who benefit most wonβt be the ones chasing every announcement. Theyβll be the ones who positioned themselves early, with simple systems that let AI work alongside them across daily tasks.
That looks like:
Replies that stay consistent without rethinking them
Notes that turn into summaries on their own
Projects that pick up where you left off instead of starting over
Decisions that happen with context, not guesswork
AI is becoming less like a search box and more like an assistant that remembers what youβre working on and nudges things along.
The real advantage next year wonβt come from doing more. Itβll come from removing friction β fewer handoffs, fewer Iβll fix this later moments, fewer decisions that drain energy.
The smart move is to place yourself where this is headed:
Build small, dependable systems
Let AI handle the repeatable parts
Keep your attention for judgment, creativity, and timing
Thatβs the quiet shift happening beneath the noise, and itβs the one worth watching.
π§° Quick Update β I Just Released Something New
Iβve finally released my first digital product: a full AI toolkit built from the prompts, templates, and systems I use every day.
It includes 200 practical prompts across writing, planning, research, communication, and systems, plus 25 guided AI business ideas with steps, tools, and simple starter plans.
If youβve been wanting a clearer way to use AI or explore new ideas, this is the workspace I wish I had when I started.
To celebrate the launch, the first 50 people who pick it up recieve 50 percent off with the code NEWYEAR50.
If you want to take a look, here it is:
π Simple Automation
βοΈ Simple Automation β The End-of-Year Catch-Up Cleaner
This is a light automation that works especially well at the end of the year, when your inbox, notes, and half-finished threads are full⦠and your brain is already on holiday.
The idea is simple: use ChatGPT to turn loose ends into a short, clear list you can either finish or park with confidence.
What it does:
You drop in messy inputs such as emails you havenβt replied to, notes you didnβt organise, reminders you scribbled down and ChatGPT turns them into:
a short summary of what each item is about
what actually needs a response
what can wait until later
what can be safely ignored
How to use it:
Start a fresh chat
Paste this prompt once:
You are my clean-up assistant.
When I paste notes, emails, or reminders, do the following:
β’ Summarise each item in one line
β’ Tell me what needs priority vs what can wait
β’ Suggest a simple next step if needed
Keep everything calm, short, and practical.Paste in:
Email threads you kept meaning to answer
Notes from meetings that went nowhere
Tasks you wrote down and forgot about
Ask follow-up questions like:
βWhat should I finish before the break?β
βWhat can wait until January?β
βTurn this into a short list I can check once.β
π¬ Prompt of the Week β Copy, Paste & Go
The βMake This Clearβ Prompt
For anything that feels messy, wordy, or over-explained.
Rewrite this so a smart, busy person understands it in one read.
Short sentences.
Clear structure.
No filler.π₯ Weekly AI News
π Google releases FunctionGemma β simple AI for devs and devices
Google rolled out FunctionGemma, a compact AI model meant to control mobile devices and interpret commands in natural language. Itβs an edge-friendly model designed to run efficiently on phones and small hardware, opening up possibilities for on-device automation and lightweight context skills.
Why it matters:
Even if youβre not building apps, this points to a bigger trend: more capable AI moving onto the devices you already use. That means less waiting for cloud responses, and more immediate, personalised assistance, something that feels closer to real workflows.
π§ AI in emergency response β a real-world use case underway
In Snohomish County (just north of Seattle), an AI assistant named Cora is being tested in 911 call centres. Cora listens in, transcribes calls, and gently suggests questions or checks to ensure dispatchers donβt miss important details. Itβs not replacing humans, itβs helping them keep track in high-pressure situations.
Why it matters:
This is one of the first live, real-world uses of AI in a high-priority environment where clarity and speed genuinely matter. If youβve ever felt buried under information, this hints at how AI may actually help people stay grounded under pressure.
π° Idea for Innovators
βQ&A & Knowledge Base Builder
This is a practical service for businesses that keep answering the same questions again and again.
You help them turn scattered replies; emails, chat messages, internal notes, into a clear, organised knowledge base people can actually use. One place. Clear answers. Easy to navigate.
It can be public-facing (FAQs, help pages) or internal (team references, onboarding notes). Your job is to shape questions, write useful answers, and organise everything to minimise asking and start finding.
ChatGPT helps draft and standardise responses. You guide clarity, structure, and flow.
Who it helps:
This works especially well for:
SaaS tools and online platforms
Course creators and educators
Membership communities
Agencies with repeat client questions
Small teams without proper documentation
Founders who keep answering the same things
If a question has been answered more than twice, it belongs in a knowledge base.
What you deliver:
A structured Q&A or knowledge hub, typically including:
Grouped question categories
Clear, plain-English answers
Short answers (quick scan) + longer explanations
Internal notes vs external wording
Links between related questions
Optional βstart hereβ or onboarding section
Optional notes for when a question needs escalation
Delivery usually lives in Notion, a help desk tool, or a shared document.
Why this works:
Poor documentation slows everything down:
Support inboxes fill up
Teams answer things differently
Customers feel unsure
A solid knowledge base reduces friction across the business. Once it exists, support, onboarding, and communication become calmer and more consistent.
It also opens the door to follow-on work like SOPs, onboarding guides, and response templates.
Example packaging:
You can keep this straightforward:
Starter: 10β15 questions, one category
Standard: 30β40 questions across multiple categories
Expanded: Full knowledge base with onboarding and ongoing updates
Many clients start small, then extend once they see the impact.
π Closing Note
Thatβs it for 2025.
Thank you again for reading PromptWire β truly. Every reply, forward, and quiet reader helps more than you might realise.
In January, weβll lean into:
Smaller systems that stick
Calmer workflows
Fewer tools doing more useful work
Until then, I hope you find a bit of space to slow down, or at least a few mornings without rushing anywhere.
Let AI handle the background tasks for a while.
You focus on rest, reflection, and whateverβs next.
Merry Christmas π
Till next time,

