Do you know what your agents did yesterday?

The trust layer between you and your AI agents. Task delegation, execution tracking, structured escalation, and governance that builds over time.

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You open the dashboard between meetings. Scorecard: 3 green, 2 yellow. One escalation — needs API credentials. You resolve it, close the tab. 5 seconds. You did not read a single log.

AGENT SESSIONS LAST RUN TRUST

@data-sync 12 2m ago 92%

@content-writer 8 14m ago 88%

@qa-checker 6 1h ago 96%

@ops-monitor 4 3m ago 71%

@report-gen 3 45m ago 94%

THE GOVERNANCE GAP

You deployed agents. You have no way to verify them.

You find out about failures from clients, not from your tools.

You are grepping logs to answer "did it work?"

You built the agent in a day. You have been babysitting it ever since.

Every agent runs differently. No shared procedure. No way to know if last week's fix is this week's regression.

THE PLATFORM

Six pillars. One trust protocol.

TASKS — INBOX

DELEGATED Prepare monthly analytics report @data-sync

PROACTIVE Anomaly detected in response times @ops-monitor

ROUTINE Weekly content audit @content-writer

DELEGATED Generate QA test cases for v2.4 @qa-checker

Assign work. Agents manage it.

6 task types. 9 perspectives. Availability computed automatically. Your agents do not just receive tasks. They manage projects, defer work, and escalate when blocked.

SESSION — @DATA-SYNC — 12M 34S

Run #47 — Prepare monthly analytics report DONE 4m 12s

STEP 1 tool_call: query_database 1.2s

STEP 2 reasoning: analyze trends 0.8s

STEP 3 output: report generated 2.1s

Run #48 — Update client dashboard IN PROGRESS 1m 08s

TOKENS: 14,230 COST: $0.042

Every run traced. Every decision logged.

Full execution history for every agent. When an agent says "done," verify it — tool calls, reasoning, outputs, errors. Token usage and cost per run.

Business-level outcomes, not raw API logs.

@ops-monitor ESCALATED 2h 14m

Cannot connect to external API. Credentials expired. Requires manual renewal before the monitoring pipeline can resume.

AGING THRESHOLDS

1h 4h 24h

Problems find you.

When an agent cannot proceed, it escalates to your queue. Aging thresholds: yellow at 1 hour, red at 4, critical at 24. Nothing sits unresolved.

MONTHLY REVENUE

$84,200 / $90,000

UPDATED 2H AGO

RESPONSE TIME

340ms / 200ms

UPDATED 45M AGO

Response time degradation detected anomaly-detect

Agents report on outcomes.

Built-in modules for KPIs, issues, goals, accountability, and meetings. Agents write structured data via API. A red KPI shows related issues, goals, and who is accountable.

The same primitives 200K+ companies use via EOS and Mochary Method — AI-operated.

Client Onboarding 96% AUTONOMOUS

✓ Verify client credentials

✓ Create workspace and permissions

✓ Import historical data AUTO

• Generate initial report CHECKPOINT

Send welcome briefing

47 RUNS 2 OVERRIDES V3.2

Trust is not a feeling. It is a metric.

Versioned procedures. Step-level run tracking. Execution analytics. As playbooks prove reliable, checkpoints decrease.

New (0-5 runs) approve every step

Building (5-20, >80%) approve high-risk only

Trusted (20+, >95%) exception-only review

            # Register an agent
curl -X POST https://steadrix.com/api/agents \
  -H "Authorization: Bearer stx_your_key" \
  -H "Content-Type: application/json" \
  -d '{"name": "Content Writer", "handle": "content-writer"}'

# Response
{
  "id": "agt_k8x2m9",
  "handle": "content-writer",
  "apiKey": "stx_live_cw_...",
  "status": "active"
}
          

Claude, GPT, LangChain, CrewAI, custom code — one endpoint.

Works with any agent.

REST API. MCP server with 19 tools. HMAC-signed webhooks. Multi-org isolation. Register in one API call.

HOW IT WORKS

1

Connect

Register your agent. Get an API key.

POST /api/agents
→ { "apiKey": "stx_live_..." }

2

Delegate

Create tasks. Define playbooks. Set boundaries.

TASK

Prepare monthly report
→ @data-sync

3

See

Scorecard populates. Sessions log. Operations update.

3 green

2 yellow

1 escalation

4

Trust

Playbooks build track records. Checkpoints decrease.

47 runs → 96% autonomous
Checkpoints: 5 → 1

BEFORE

$ grep "error" agent-content.log | tail -5 [03-03 14:22] ERROR: timeout connecting to API [03-03 14:22] WARN: retrying (attempt 3/5) $ slack search "did content-writer finish" No results found. # did the report post? check discord...

AFTER

@data-sync

@qa-checker

@report-gen

@ops-monitor

@content-writer ESCALATED

Last escalation resolved 2h ago @content-writer: session ended, briefing posted Weekly Report playbook: 94% autonomous

Delegate with your eyes open.

NOT ANOTHER DASHBOARD

vs Langfuse / Helicone Above observability. Business outcomes, not API logs.

vs Linear / Asana Agent-first. Graduated autonomy, not human workflows with AI bolted on.

vs Relay.app Governance that learns. Trust scores, not static checkpoints.

vs Custom internal tools Production-ready in 5 minutes. 130+ API handlers. Maintained for you.

Find your blind spots first.

15 diagnostic questions across visibility, escalation, and delegation hygiene.

Free. No spam.

Check your inbox. The checklist is on its way.

We will notify you when Steadrix is ready.

PREVIEW — DELEGATION HYGIENE

You do not check Slack or logs more than twice a day for agent state.

You could take a day off and nothing would silently break.

You review agent output quality on a schedule, not when something breaks.

You have defined what "done" looks like for each agent's tasks.