Drafted through my n8n + AI pipeline, edited by me.
The typical small business now runs about five AI tools, and most plan to add more. That is how you end up paying for fifteen overlapping subscriptions that each do a slice of the same job. A good AI tool stack is small on purpose.
The five jobs an AI tool stack needs
Almost every useful AI tool falls into one of five jobs. Cover each once, with the best tool for it, and you are done.
A general assistant for thinking, drafting, and research.
An automation layer to move work between your tools.
Content and marketing, if that is where your growth is.
Customer response, for support or the front desk.
Notes and capture, so meetings and calls become records.
Before and after: a sprawling stack of overlapping AI subscriptions versus a lean stack of five tools, one per job, feeding one source of truth.
Three tools that all draft content.
Two that half-automate the same flow.
Subscriptions nobody remembers buying.
Data scattered across all of them.
Same jobs covered. Far fewer subscriptions and logins.
How to cut the sprawl
List every AI tool you pay for, and the job it does.
Where two tools do one job, keep the better one and cancel the other.
Before adding a tool, name the job it does that nothing you own already covers.
Wire the survivors into one source of truth, so they share data instead of fragmenting it.
Bring me the AI tools you're paying for, and I'll tell you which five I'd keep and which ten I'd cancel.