What an AI Stack Actually Costs: The Case for One Subscription
The accidental stack
Almost no team decided to run four AI subscriptions. It happened one reasonable purchase at a time: an assistant for writing, a research tool because the assistant would not browse, a coding tool because neither handled the codebase, and an automation tool to connect them.
Each sat around the same price point. Individually, each was easy to approve. Together they became the second-largest software line item in a lot of budgets, and the one nobody could produce a single usage report for.
Where the money goes
Three costs compound, and only the first appears on an invoice.
Duplicate seats. The same person needs a licence in each tool. Four tools at roughly a standard seat price each is four times the per-person cost for what is still one person’s output.
Idle licences. Adoption is uneven. In most stacks a meaningful share of paid seats belong to people who tried a tool once. Consolidated billing makes that visible; four separate invoices do not.
The human integration tax. This is the largest and the least measured. When context does not carry between tools, someone re-explains the project in each one. That time is paid for in salary rather than software, so it never shows up in the AI budget at all.
What consolidation changes
Skynet’s Pro plan is $20 per month, with 14,000 credits, every tool and connection, and scheduled agents. Teams is $45 per seat, adding shared memory, skills, and agents across the organisation. Both route across every frontier model on one bill.
The saving is not a discount on models. It is not paying four times for one person’s capability, and not paying a person to move context between tools that cannot talk to each other.
There is a free plan at 200 credits per day if you would rather test the premise than model it, and Pro is refundable within seven days.