Insights

Real telemetry from a real AI workforce.

amoOS measures itself: sessions, dispatches, tokens per model, cache hits, merged PRs, interventions and subscription capacity, rolled up every hour. The numbers below are straight from those rollups.

Snapshot · 27 Jul – 29 Sep 2026

920

Agent sessions

951

Tasks completed

342

PRs merged

12

Models in use

3

Machines

9

Weeks measured

Throughput

Weekly throughput

Tasks completed and pull requests merged per week

Tasks completedPRs merged
0
50
100
150
2731017243171421

Agent sessions by engine

Sessions started per week across the fleet

Claude CodeCodex
2731017243171421
View the weekly data as a table
Week ofTasksPRs mergedClaude sessionsCodex sessions
27 Jul3611180
3 Aug6241412
10 Aug10619287
17 Aug1744820617
24 Aug47132912
31 Aug10326561
7 Sep11935580
14 Sep11361357
21 Sep15710219316

Last 30 days

Rolling 30 days to 29 Sep 2026, compared with the 30 days before.

566

Dispatches

+138%

210

PRs merged

+74%

526

Tasks completed

+30%

134

Phone decisions

answered remotely

98%

Prompt-cache hit rate

9.18 billion tokens in 30 days, and 98% of input came from cache instead of being paid for again.

7.8%→2.6%

MCP tool error rate

Down by two thirds in a month. Each failure the fleet reports becomes a tracked gap with evidence and then a fix.

Model mix

Twelve models from two vendors ran in September. Routing follows difficulty: the strongest models coordinate and review, faster ones handle routine work, and Codex takes bulk.

Tokens by model

September 2026 · every model the fleet ran, measured per session

Claude Opus 5

Anthropic · Coordination, deep work

4.57B

Claude Opus 5.5

Anthropic · Hard tasks, review

2.75B

Claude Fable 5.1

Anthropic · Frontier experiments

716M

GPT-6 Astra

OpenAI · Codex bulk execution

397M

Claude Sonnet 5

Anthropic · Standard tasks

340M

Claude Opus 4.7

Anthropic · Legacy sessions

204M

GPT-5.6 Sol

OpenAI · Codex routine work

119M

Claude Sonnet 5.5

Anthropic · Mechanical tasks

52M

Codex auto-review

OpenAI · Automated review

6M

Claude Haiku 4.5

Anthropic · Utility calls

4M

Anthropic (Claude Code)OpenAI (Codex)

Hard

Opus 5.5

Coordination, architecture, security-sensitive changes and every review.

Standard

Sonnet 5.5

Well-specified features, tests and mechanical refactors.

Bulk

Codex (GPT-6 Astra, GPT-5.6 Sol)

Parallel batch work on a separate subscription pool, which keeps Claude capacity free.

Utility

Haiku 4.5 · local models

Classification, summaries and background jobs at near-zero cost.

Capacity

Claude and Codex usage is probed continuously. The coordinator paces work against weekly limits and routes bulk to the separate Codex pool, so paid capacity gets used instead of expiring.

Where the work runs

Share of agent sessions per machine since late July

amonodeAlways-on Linux engine room

60% · 548

amom4proMacBook cockpit

22% · 202

amominiMac mini engine room

18% · 170

100%

Peak weekly subscription use

The fleet reached its weekly Claude limit this month. That’s the goal: capacity turned into shipped work.

848

Claude Code sessions

72

Codex sessions

Aggregates only, taken from amoOS’s own metric rollups on 29 Sep 2026. Project names, prompts and client data are excluded.