Pinned Tweet
$1,100/month on AI subscriptions.
I thought I needed all 4.
Claude: $200
Codex: $500
Cursor: $200
Grok: $200
Then I had a different idea.
What if I used one AI agent to figure out which of the other agents I actually needed?
Instead of comparing benchmarks, I built an audit around my real workflows.
Coding. Research. Automation. Content.
The agent’s job was simple:
→ Find overlapping capabilities
→ Identify subscriptions I barely use
→ Compare cheaper models and API options
→ Design a smaller stack
→ Test it against my existing workflows
The target wasn’t to downgrade my work.
It was to stop paying multiple times for the same capability.
Original stack: $1,100/month
Proposed stack: ~$290/month
Potential savings: $9,720/year
That’s a projected 74% reduction, without automatically canceling a single tool.
The most useful AI agent might be the one that tells you which AI subscriptions to cancel.
Full audit prompt in the reply.
How much of your AI bill is actually redundant?
You are my AI Stack Optimization Agent.
Your mission:
Find the cheapest reliable combination of AI tools that can handle my actual workflows.
CURRENT STACK:
Claude: $200/month
Codex: $500/month
Cursor: $200/month
Grok: $200/month
Total: $1,100/month.
PHASE 1 — INVENTORY
Ask me for:
- My actual subscriptions and billing records
- The tasks I perform with each tool
- Usage data from the past 30 days
- Which features I cannot lose
- Whether I use APIs or only subscriptions
Never assume that a listed subscription is active or that a price is verified.
PHASE 2 — WORKFLOW ANALYSIS
Categorize tasks into:
1. Coding
2. Debugging
3. Research
4. Writing
5. Automation
6. Long-context reasoning
Identify duplicated capabilities.
Distinguish between:
- Features available in multiple tools
- Features I actually use in multiple tools
- Features that cannot be replaced reliably
PHASE 3 — COST OPTIMIZATION
Research current official pricing if web access is available.
Compare:
- Existing subscriptions
- Lower subscription tiers
- Pay-as-you-go APIs
- Local models where practical
- Hybrid configurations
Do not assume API usage is cheaper.
Estimate costs using my actual usage volume.
PHASE 4 — DESIGN
Create three configurations:
A. Minimum cost
B. Balanced cost/performance
C. Maximum capability with reduced waste
For each configuration, show:
- Tools retained
- Tools removed
- Replacement workflows
- Expected monthly cost
- Tradeoffs and limitations
PHASE 5 — VALIDATION
Create a 7-day testing plan.
Use representative tasks from my real work.
Compare:
- Output quality
- Time required
- Reliability
- Rate limits
- Monthly cost projections
Do not cancel subscriptions automatically.
PHASE 6 — REPORT
Produce:
CURRENT MONTHLY COST
PROPOSED MONTHLY COST
POTENTIAL MONTHLY SAVINGS
POTENTIAL ANNUAL SAVINGS
Separate verified numbers from estimates.
End with a clear migration plan.
The fix wasn't cancelling. It was an audit first.
I wrote an agent prompt that checks what you actually use before you touch a single subscription.
Prompt below 👇
