My AI Subscription Bill Hit $847/Month — Here's What I Actually Kept
Last October I exported my credit card transactions and sorted by vendor. The AI line items alone came to $847 in a single month. Claude Pro, ChatGPT Plus, Perplexity, Cursor, GitHub Copilot, Midjourney, ElevenLabs, a Runway trial I forgot to cancel, and three API keys I was funding out of pocket to prototype a product. I am not a VC-backed company. I am one person building software. That number made me sit down and do something I should have done six months earlier: figure out what was actually working.
This post is what I found. Not generic "evaluate your tools" advice — specific verdicts, the reasoning behind them, and a framework I now use before adding anything new.
The Dirty Secret: Most Subscriptions Are Solving the Same Problem Twice
When you stack your AI tools and look at them honestly, you will notice enormous overlap. ChatGPT Plus and Claude Pro are both "general reasoning and writing." Cursor and GitHub Copilot are both "code completion in my editor." Perplexity and the web-browsing mode in ChatGPT are both "search with synthesis."
I was paying for redundancy I had rationalized as optionality. The reasoning goes: "Different models are better at different things, so I need all of them." That is partially true and mostly a justification for laziness. You almost never sit down and think "this task specifically requires GPT-4o and not Sonnet." You open whichever tab is already in your browser.
What you actually pay for is access to a specific model tier when you need it, a specific interface that fits your workflow, and in some cases a specific integration that would take hours to replicate via API. Everything else is friction disguised as optionality.
The Tools That Survived My Audit (And Why)
Claude Pro — kept. The combination of long context, the quality of technical reasoning, and Projects with persistent memory changed how I actually structure my work. I do not use it because Anthropic has good marketing. I use it because I have a Project set up for every active codebase I touch, and the context retention across sessions saves me twenty minutes of re-explaining every morning. The rate limits on Claude Pro are the only meaningful constraint, and I hit them less than I expected.
Cursor — kept. I tried to replace it with GitHub Copilot twice. Both times I came back within a week. The tab completion in Cursor is genuinely different from what Copilot does — it predicts across multiple lines and across files in a way that fits the refactor-heavy work I do. Copilot is a better fit for greenfield work where you want token-for-token suggestion. Cursor is a better fit for editing an existing system. Since most real software work is editing, Cursor stays.
Perplexity — cut. Painful to admit because I was an early advocate. But the honest answer is that Claude with web search enabled does what I was using Perplexity for, and I stopped opening the Perplexity tab. If your primary use case is quick research synthesis and you do not already pay for a frontier model subscription, Perplexity is probably the right pick. If you do pay for Claude or GPT-4o, you are paying for the same thing twice.
Midjourney — cut, mostly. I kept a monthly sub for three months after I stopped having active use for it because canceling felt like closing a door. That is a terrible reason to pay for software. I now use it project-specifically — pay for a month, do the image work, cancel. The on-demand model is underused by people who treat subscriptions as identity rather than tools.
ElevenLabs — kept, but dropped to a lower tier. The voice quality at the Starter tier is sufficient for the use case I have, which is occasional voiceover for demo videos. I was on the Creator tier out of a vague sense that I might need the extra characters. I never did. This is the most common subscription mistake I see: paying for a tier based on a hypothetical ceiling rather than your actual floor.
API Costs Versus Subscriptions: The Math Most People Get Wrong
If you are a developer, you need to run this calculation explicitly. Subscriptions are priced for heavy users who hit the rate limits of the flat-rate tier. API access is priced per token, which is cheaper if your usage is spiky or moderate and more expensive if your usage is constant and heavy.
Claude Pro at $20/month gives you unlimited (rate-limited) access to Sonnet-class models. If you are running Claude via API, Sonnet-class pricing is currently around $3 per million input tokens. You would need to consume roughly 6-7 million input tokens per month to justify the API over the subscription for personal use. That is more than most individuals generate, and less than most production applications do.
The practical rule: subscription for interactive, exploratory, daily-driver use. API for anything that involves loops, automation, pipelines, or serving other users. The mistake is using API calls for interactive work because you want "more control," which usually means you are paying more to get less convenience.
What Actually Compounds Over Time
The tools that compound are the ones that make other tools better or that build state you can reuse. Subscriptions that leave nothing behind when you stop using them are the most disposable.
Claude Projects builds context. Cursor builds .cursorrules and project-level memory. These create artifacts that persist and improve over time. An ElevenLabs voice clone, once trained, retains value between sessions. A Perplexity search does not — it is pure consumption with no accumulation.
Before adding a subscription, I now ask: will using this tool for thirty days leave me with something — a workflow, a file, a trained model, a prompt library — that makes the next thirty days cheaper or faster? If the answer is no, the bar for keeping it is much higher. It has to be so good at a specific task that there is no substitute, and I have to be doing that task regularly enough to justify flat-rate pricing over on-demand alternatives.
The Decision Framework: Three Questions Before You Subscribe
Before adding any AI subscription, run this:
1. What is the specific task this solves, and how often do I do it?
Be concrete. Not "I might use it for writing." Instead: "I write three technical blog posts per month and one product spec." If you cannot name the task and frequency, you are paying for access to a feeling, not a tool.
2. Is there a tool I already pay for that can do this at 80% quality?
80% quality on a task you do monthly is not worth an additional $20/month. 80% quality on a task you do eight hours a day is a serious productivity problem. The frequency scales the importance of the quality gap.
3. What does this cost me on-demand versus flat rate, given my actual usage?
Run the numbers. If the tool has a free tier or API pricing, estimate your monthly token or request volume and compare. If you cannot estimate your usage, start with the free tier or a single month and measure before committing.
If a subscription fails any of these three questions, you do not need to cut it immediately — but you need a specific reason to keep it that overrides the failure. "I like having access to it" is not that reason.
How AI Handler Approaches This
The reason I am building AI Handler is that I kept running into the same problem at the workflow level: I had five subscriptions, I knew which model was best for which task, but switching between them was friction that compounded across a hundred small decisions per day. Copy from Claude, paste to Cursor, grab context from Perplexity, format in a separate tool. Each transition costs thirty seconds and one context switch. Over a full workday, that is not a trivial number.
AI Handler is the unified AI workflow tool I am building to solve this — not by replacing your subscriptions with a single dumbed-down interface, but by letting you route tasks to the right model through a single workflow layer, with shared context and memory that persists across all of them. The goal is that you keep the subscriptions that are genuinely worth it and get compounding value out of them instead of using each one in isolation.
Launching June 2026. If you are a developer or AI power user and this problem sounds familiar, email ceo@eternalsix.com for beta access. I am onboarding a small group early to build against real workflows, not hypothetical ones.
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