Tokens per shipped feature: the new KPI for AI budgets
Peter Steinberger spent $1.3M on tokens in 30 days. Riaz Khan replied on LinkedIn with the KPI that actually measures enterprise AI: tokens-per-shipped-feature.
Peter Steinberger spent $1.3M on tokens in 30 days. Riaz Khan replied on LinkedIn with the KPI that actually measures enterprise AI: tokens-per-shipped-feature.
Aaron Levie defended forward deployed engineering. Tanmai Gopal answered with what breaks the cheap version: shared context costs money every single day.
Google joined the FDE race. Maurizio calls it the rebrand of the 2020s. It's the third label for the same job since 1990. This time the difference is Satya.
a16z argues that GTM software's next-decade value lives in the reasoning layer above the database, not the CRM itself. The FDE hiring spree is the proof.
On May 13 Anthropic shipped Claude for Small Business inside QuickBooks, HubSpot, and Canva. Your martech stack has to justify itself line by line.
OpenAI launched Deployment Co. Anthropic hit $45B ARR. Stripe embeds 1 AI engineer per 20 employees. Prices aren't falling. The delivery stack changed.
Cursor, Devin, and Replit run the same three frontier models. Swap the model and the products keep working. Swap the harness and they break.
Aakash Gupta named the system this week that we already run inside IQ Source: three layers that make a team's past reasoning queryable in 15 seconds.
Farza, Eduardo Ordax and Jaya Gupta posted the same diagnosis in one week: when building costs zero, the only thing AI cannot copy is your company's shape.
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