Building Your AI Toolkit (Not Mine)
When I started writing this series my goal was simple: give other communicators the “right” stack, the proven setup, the list of tools that will finally make everything click. It’s a comforting idea. But in reality, a lofty one.
Here’s the truth I want to end on: There is no universal AI toolkit. Not mine. Not anyone’s.
The best toolkit is the one that fits your role, your context, and your constraints. Everything else is noise.
Why There’s No One-Size-Fits-All Stack
A communicators work isn’t generic.
A comms generalist in a hospital doesn’t need the same setup as a policy writer in government, or a solo consultant, or a nonprofit manager. Even within the same organization, two people doing similar work will have different constraints, approvals, risk tolerances, and workflows.
Your toolkit has to reflect:
the kind of work you actually do
the friction points that slow you down
the systems you’re already working inside
the boundaries you need to protect your judgment
Anything else becomes overhead.
What a Good Toolkit Actually Does
A good toolkit isn’t about volume or complexity. It’s about function.
A good toolkit:
supports clarity instead of replacing it
reduces invisible labour
helps you move faster without compromising judgment
fits into your existing workflow
makes the hard parts of your job lighter, not louder
My Biggest Takeaway From This Series
If there’s one thing this series has made unmistakably clear, it’s this:
The modern communicator doesn’t need to be an AI expert.
They need to understand the judgment required to operate these systems well.
That’s the real skill.
And it’s not new. Communicators already break down complex subjects. We already translate nuance, risk, and context into something others can act on.
AI is no different — it just introduces a new layer that needs the same discipline.
This is why every communicator needs a comms plan for AI inside their organization.
Not because you’re expected to build models or audit systems. But because you’re the one who understands how messages land, how trust works, and where risk hides.
For years, you’ve been the person others turn to when they need a draft or a message shaped. AI shifts that. Now you are the one who needs to come forward with the plan — the person who understands the risks, the judgment required, and the communication implications. You’re not waiting to be pulled in. You’re leading the conversation.
Why? Because the risks to your work are too great to wait until there’s a problem. And far too great to wait until someone asks, “What do you think we should do about AI?”
This is leadership work, and it belongs to communicators.
How to Start Building Your Toolkit
You don’t need a full stack. You need a starting point.
Try this:
Identify 2–3 friction points in your current workflow.
Map each one to an AI capability — drafting, summarizing, structuring, analysis, planning.
Choose one tool or workflow to test for each friction point.
Set boundaries: what you will use AI for, and what you won’t.
Iterate based on what actually helps, not what looks impressive.
This is how you build a toolkit that works in the real world, not in theory.
What to Avoid (Gently)
A few traps to sidestep:
Copying someone else’s stack without context
Overbuilding before you know what you need
Letting tools dictate your process
Feeling behind because someone else uses more tools or more advanced workflows
You’re not behind. You’re building intentionally.
Bringing It Back to Quick Wins
Quick Wins was never about speed for its own sake. It was about clarity, small steps, and sustainable practice.
Your AI toolkit follows the same pattern: Start small. Test. Adjust. Keep what works. Let go of what doesn’t.
This is a long game. You’re not racing anyone.
If You Want Support: What’s Coming Next
Over the next editions, I’ll be unpacking the deeper layers of this work — the research notes, frameworks, and questions that didn’t fit into this series but matter for where communicators go next. I’ll share them as they take shape, at a pace that keeps the work clear and useful.
This series ends here, but the work continues.
