Weekly intelligence brief for B2B SaaS operators. Free, Fridays. Take the AI Readiness Scorecard for your ops team ↓throughput-scorecard.vercel.appJoined May 2026
At a loaded cost of $75/hr, an ops team losing 12 hrs/week to workflow friction is leaving $45,000/year on the table per person.
Take the scorecard. See your number.
throughput-scorecard.vercel.app
@ponnappa The "pays for your tokens" filter is the 2026 version of the "pays for a great laptop" filter from 2010. It sorts for managers who already know AI fluency compounds the operator under them. Anyone gatekeeping access to tools is signaling exactly where they sit on the curve.
@mercury Same idea applies to ops AI. The losing pattern: pipe data out to a separate tool, ask questions, paste answers back. The winning pattern: intelligence lives inside the workflow surface where the decision actually happens. Context beats portability every time.
@ttunguz The durable margin lives one layer above inference. Datadog and Twilio prove it. Customers don't pay for raw tokens. They pay for instrumented context: evals, traces, semantic layer, governance. Inference goes to zero. The wrapper around it doesn't.
Quickest test for whether your AI ops tooling is real:
Pull a week of your data analyst's tickets. If 60%+ are "pull X by Y filter," you're paying for translation, not analysis.
Fix is text-to-SQL with a semantic layer, not a senior hire.
Most "AI for ops" content jumps straight to tools.
The actual question is which of your four leak categories is bleeding hardest, because the same tool against the wrong leak does nothing.
Scorecard tells you which one to attack first.
throughput-scorecard.vercel.app
Throughput: weekly intelligence for B2B SaaS operators at 20–200 person companies.
One signal. One named case file. One stack shift. One quote. One move you can ship Monday.
Free. Fridays at 9 AM ET. First issue 5/22.
throughputbrief.beehiiv.com
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