Handbook calculators

Sum latency across retrieval, inference, tool calls, and post-processing.

Calculate monthly AI cost from request volume and unit cost.

Calculate weighted utility for quality, cost, and latency. Adjust weights to match strategy.

Calculate a weighted four-axis evaluation score. Each input is 0-100.

Calculate an experiment decision score. Positive scores suggest rollout; negative scores suggest rollback or iteration.

Annual value of saved time converted to labor cost, divided by build plus annual operating cost. 0% breaks even; positive means it is worth the investment.

Rate four signals from 0-100 each and take the weighted sum. Thresholds are yours to set, e.g. 70+ is Active and below 40 is Risk. Tune the weights to your business.

Remove customers acquired during the period to see how many existing customers stayed. Churn = 100 - retention.

Customer lifetime value divided by acquisition cost. Roughly 3x or higher is healthy; below 1x is a loss-making model.

How much existing-customer revenue is retained and grown after expansion, contraction, and churn. Above 100% means you grow without new logos.

The share that moved from one pipeline stage to the next. The starting point for finding where deals stall.

Combine fit, intent, value, and risk into a simple prioritization score.

Score each candidate tool 1-5 on five criteria and take the weighted average. Treat permissions and operating cost as pass/fail gates, not scores. Tune weights to your priorities.

Estimate monthly build minutes saved from cache hit rate and build volume.

Estimate how many review-wait days OTA updates save in a quarter.

Estimate download time from bundle size and network speed.

Calculate dropped frame percentage from profiling results. Target: 5% or lower.

Calculate net revenue retention from starting ARR, expansion, contraction, and churn.

Calculate account priority by separating fit, intent, readiness, and expansion. Scores above 4.0 are candidates for AE intervention.

Estimate ROI for an AI GTM pilot. Pipeline impact is adjusted by expected close rate and gross margin.

Estimate conservative net annual value after a successful POC. It combines time savings, revenue uplift, and risk reduction, then subtracts annual product cost and implementation cost.

Calculate gross margin after monthly AI execution cost and service cost.

Score whether a signal is fresh, specific, reliable, actionable, and connected to feedback. Scores above 4.0 deserve fast intervention.

Score revenue impact, data readiness, adoption fit, risk control, and learning speed from 1 to 5 to select pilot candidates.