Chariot

// Consumer-Scale AI Agents

Quality compounds. Cost collapses.

A private AI agent for every user — each with its own computer — trained and proven against the real scenarios you define, so quality climbs while cost per user scales to zero.

metrics/cost_per_user.tsv
−97.5% in ~75 days
cost / user / month$115 → $2.84
$120$60$0$115$2.84Day 0~Day 75
metrics/quality.tsv
+8.1 pts
quality score90.6% → 98.7%
100%95%90%90.6%98.7%Day 0~Day 75

One line to deploy.

chariot ~ deploy
$ chariot deploy --endpoint "https://awesomeapp.io/chariot" --token-seed "ts_1234567890abcdef"
✓ endpoint connected · agents wake on demand · dashboard ready

A private VPS per agent.

Each agent gets its own computer — filesystem, shell, tools, and a persistent disk. A body, not just a brain. One per user, by the millions.

agent-7f3a ~ vps
running
region
us-east-1
uptime
41d
state
warm
cpu 0.05 vCPU·mem 50 MB·disk 1 GB ⟲ persistent
$ ls ~/
memory/skills/tools/tasks/.config
✕ no public ingress·⇡ outbound gated

Watch your fleet grow and adapt.

Agents are always-on in identity — memory, config, and permissions persist — but elastic in compute. They wake on a message, webhook, schedule, or API call, then hibernate when idle. As users climb, active agents track real work, not headcount.

fleet ~ activity
elastic compute
agents over timeactiveusers
12k6k0deploytoday
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A‑LIST
“Chariot let us run a private agent for every user and cut cost per user by 97.5% — while the Quality Score kept climbing, and without ever taking the fleet offline.”
PLATFORM TEAM · A-LIST · a-list.com