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HUMANHOURS / BLOG

Every agent, measured in human hours.

Notes on the product, the engineering, and the math behind agent ROI. Written for the people building, shipping, and paying for AI agents.

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1 JUNE 2026 · 5 MIN

The 11-by-11 tipping point: when AI savings start compounding

Microsoft found that 11 minutes saved per day over 11 weeks is the threshold where AI shifts from novelty to habit. The leading indicator that tells you which agents are on track to cross it, and which to cut.

  • AGENTS
  • METRICS
READ POST 28 MAY 2026 · 3 MIN

Human-in-the-loop ROI: only count what actually replaced human work

An agent drafts 800 reply suggestions. Humans approve 240. The dashboard reads 800. Place the tracking node after the approval gate, not before, and the number stops inflating.

  • METRICS
  • AGENTS
READ POST 25 MAY 2026 · 5 MIN

Counting AI agent tool calls: per call or per parent execution

An agent fires five tool calls to finish one task. Log five savings events or one? Neither default is right. Count what the human alternative replaced.

  • ENGINEERING
  • AGENTS
READ POST 21 MAY 2026 · 5 MIN

The 30/60/90 dashboard: a CFO-ready AI ROI scorecard

Adoption at 30 days, operational gains at 90, a P&L line at 12 months. The three artefacts an AI program needs to produce at each horizon to survive a finance review.

  • METRICS
  • COMPANY
READ POST 18 MAY 2026 · 5 MIN

n8n vs Make vs Zapier: which one tracks AI savings cleanly

n8n ships a built in time saved metric on Pro plus. Make and Zapier count operations and tasks. None roll up a CFO ready human hours figure.

  • ENGINEERING
  • PRODUCT
READ POST 17 MAY 2026 · 5 MIN

AI customer support ROI: $0.99 per AI ticket vs $6 per human one

AI tickets cost about a dollar. Human tickets cost six to fifteen. The 210% AI support ROI headline is real, but the unit economics behind it rarely show up in the pitch.

  • AGENTS
  • METRICS
READ POST 11 MAY 2026 · 5 MIN

How to set an AI productivity baseline before you deploy your first agent

Three ways to calibrate an AI productivity baseline that holds up under finance review: time-tracked sample, expert consensus, historical logs.

  • METRICS
READ POST 10 MAY 2026 · 4 MIN

Why most GenAI projects fail to prove AI ROI

MIT found 95 percent of GenAI pilots show no measurable return. The diagnosis is wrong: AI is not failing on the model side, it is failing on measurement.

  • COMPANY
  • METRICS
READ POST 9 MAY 2026 · 6 MIN

Where to track AI hours saved: a decision tree for any automation stack

Eight automation patterns, eight different places to drop the tracking event. A decision tree for keeping AI hours saved defensible across n8n, Zapier and custom Python.

  • ENGINEERING
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