Project AI Cost Digest and Spike Alert
A daily spike alert and weekly cost-per-feature digest for tiny AI product teams.
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You will create
V1 builds two scheduled automations for a solo AI-native founder: a daily spike check and a weekly digest that take per-request usage rows with feature tags from a provider Usage/Cost API, manual export, or gateway logs, write a running cost sheet, send a weekly cost-per-feature digest message, and fire a same-day spike alert.
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Scope, inputs, and proof checks
Create a trigger/action workflow with retries, logs, and approval gates.
Reviewed by Mark JonesAt a glance
The shortest useful answer to what you will create, who it helps, why it matters, and how V1 proves it works.
What you are building
V1 builds two scheduled automations for a solo AI-native founder: a daily spike check and a weekly digest that take per-request usage rows with feature tags from a provider Usage/Cost API, manual export, or gateway logs, write a running cost sheet, send a weekly cost-per-feature digest message, and fire a same-day spike alert.
Who it helps
Solo or two-person bootstrapped founders with live OpenAI, Anthropic, or gateway-tracked AI features who want cost visibility in Make, n8n, Zapier, and Google Sheets rather than a custom app.
Problem it removes
The founder currently discovers runaway AI spend from an aggregate invoice and then has to reconstruct which feature, customer, or agent loop burned the tokens.
V1 proof
On fictional sample data, the weekly digest totals tie exactly to the hand-computed baseline, untagged spend appears as its own line, and a synthetic burst triggers the same-day alert in the daily scenario.
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Working title
Project AI Cost Digest and Spike Alert
Why this exists
Provider dashboards and observability tools can show usage, but tiny teams need one operating artifact: a sheet and two messages that say what changed, what is untagged, and which feature crossed a threshold.
Not in V1
No automatic model switching, rate limiting, production routing changes, multi-tenant dashboards, revenue-margin optimization, or raw customer prompt analysis.
Naming note
Provisional project title, not a final product name.
Build Guide
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Product Intent
V1 builds a Make, n8n, or Zapier automation pair for one founder. It accepts usage rows with timestamp , provider , model , feature tag , token counts, and cost usd ; writes normalized rows and summaries into a Google Sheet; sends one weekly digest; and sends a same day spike alert when a feature crosses its configured threshold. Parent painful moment: the founder finds out about runaway AI costs when the invoice lands. Failed workaround: provider dashboards and invoices show totals, but not the
Blueprint Sources
Sources used in this Blueprint
Reference material used during the research and import process. Treat implementation details as assumptions until tested in your own environment.
Blueprint published by Collab365 Spaces, reviewed by Mark Jones on . Cite as "Project AI Cost Digest and Spike Alert", Collab365 Spaces. 16 sources referenced.