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Live sandboxA supervised AI-agent console on the Claude API, for ops & technical teams

Agents that ask before they act.

The supervised AI layer I ship into a team's ops, on the Claude API. Read-only agents run on their own; anything that writes, spends or publishes waits behind a human, and the studio learns from every call.

Try the loop

0 of 3
  1. Next: Run ECHO, the writer agent
  2. Approve or discard ECHO's draft
  3. Run a read-only agent: PULSE, RIVER or ATLAS
Studio Mix ConsoleOps agents · supervised console

AgentsClaude API

Read-only run alone, writers wait for you

4

Registered · click run

ECHO

Needs sign-off

SEO drafter

Drafts a blog post on demand, in your voice. Lands in review, never auto-published.

PULSE

Read-only

anomaly watch

Sweeps the audit log for spikes, delete-bursts, and stuck states. Emails a digest if anything trips.

RIVER

Read-only

intake & candidate screener

Screens inbound, applicants, and feedback, then assesses each against the brief, with the reasoning surfaced for a human to override.

ATLAS

Read-only

content reviewer

Reads a draft against your style guide, flags voice mismatches, suggests edits. A second opinion, not a gate.

Output

No run yet

Idle

Agents standing by.
Run one and its output streams in here.

Audit loglive

Every action logged, newest first

2

Real time

  1. PULSE ran nightly sweep

    0 anomalies · 4,210 rows scanned

  2. ECHO drafted a blog post

    “Why I refuse to ship slides”

Studio policy

What every approve or discard teaches the agents

2 rules

  • Do:

    Writer agents never auto-publish, every draft waits behind a human

    House default

  • Do:

    Read-only agents (PULSE / RIVER / ATLAS) run autonomously

    House default

Outcomes

What this loop ships at production scale

illustrative sample data
drafts generated
9,640
all gated
approved as-is
94%
after a human read
candidates assessed
1,120
human decides
auto-publishes
0
by design
See the live productthe AI layer I ship

Sample numbers for the sandbox, not a real company's metrics.

Ops & technical teams, built by Gravixar

Put your agents behind a human.

I wire supervised agent consoles like this into a team's ops: read-only agents run on their own, anything that writes or publishes waits for approval. One call to scope what to automate first.

Book a 30-min callor read more at gravixar.com