Tweet Helper AI cost and margin review.
An illustrative review of where AI may earn its cost, where rules may work better, and how to measure cost per accepted result. The figures are planning assumptions, not an independent client case or achieved savings.
Twenty-four posts, one model call.
Code narrows the feed first. AI sees a clean batch and returns only the choices worth reviewing.
Planning case: half the model traffic.
The model assumes one-pass drafting becomes the default. Production logs would be needed to verify whether intent, taste, and repair calls can run less often.
Hypothesis: the expensive path can run less often without changing the visible workflow.
Model cost around the accepted result.
Request count hides waste. Margin becomes useful only when cost is divided by drafts and opportunities the user actually keeps.
Code handles certainty. AI handles judgement.
The cheapest call is the one the product never needs to make.
- Read page context
- Reject obvious bait
- Manage queues
- Insert and undo
- Track outcomes
- Interpret intent
- Draft the wording
- Match writing style
- Rank nuanced choices
Four controls to test.
Each proposed control needs production evidence before it can support a savings claim.