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Run agent workflows for data tasks 24/7

Deploy long-running DinoAI agents in Bolt. The agents then run on cron, events, or triggered via API and get complex data-driven workflows done.

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freshness-watchdogBalanced7 tools
Trigger from Slack, Teams or the API, and approve the risky steps
Trigger from anywhereDinoAI agent runtimeOutcome
freshness-watchdoguiw7klpphuvpiv6kWaiting for approval
  1. 0.0sTrigger receivedSlack mention in #data-incidents
  2. 0.6sSession readyworkspace acme-analytics< 1s
  3. 0.9sPlanclaude-opus-5
  4. 1m2 sub-agents diagnosing in parallelclaude-haiku-4-5
  5. 14mFix writtenmanifest_guard.py · test · runbook
  6. 21mApproval neededpush branch · open PR #2387
Sub-second startupA session is ready to work in under a second.
Human in the loopAgents pause for approval before anything risky ships.
Multi-tenantEvery session is scoped to one workspace: its warehouse, integrations and credentials.
ReplaysReopen any session and replay it step by step, with full history.
Pull request#2387 · guard dev-target manifestAfter approval
Thread replyTriage and final summaryAfter approval
Jira ticketDAI-12184 created and linkedDone

Features

Everything the agent runtime gives you

The same triggers, logs, and controls as every other Bolt step.

Multi-tenant by design

Start hundreds of agents in parallel. Each session runs with its own harness in its own sandbox, so one run never shares state or compute with another.

Connect external MCP servers

Agents call the tools of any MCP server the workspace has access to. You can narrow access at the server, the Agent environment, or the agent level for the ultimate control.

Agent-to-agent delegation

Run an agent squad with other agents and operate as a team. Each child agent has its own session and context. The parent checks with every delegated sub-agent.

Trigger from anywhere

Run the agents from a Bolt schedule on a cron, after another schedule, on merge, or in TurboCI. Or start one from the GraphQL API, the Python SDK, or the CLI.

Agents in Slack

Mention @paradime in a channel, or send a direct message, to start a session. The agent posts its progress in the thread, and continue that session by mentioning @paradime in the same thread.

Startup in less than a second

An agent session is live in under a second. A run triggered from a schedule, Slack, or the API starts work instantly.

Workflows

What teams run with the agent runtime

Recipes of how teams are running DinoAI agents in production

Reliability

Heal a failed production run

A DinoAI agent finds the root cause and opens a fix pull request. It checks for an open fix first, so it does not duplicate PRs. Another agent does the same for failed TurboCI checks, with a loop guardrail.

Self-healing
Bolt pipeline healer

Backlog

Work on agent ready tickets nightly

A DinoAI agent reads every Jira, Linear, or GitHub issue with the label you set. It implements the tickets, opens one pull request per ticket, and posts progress to Slack.

Cron
Backlog agent

Quality

Keep the semantic layer updated

In a TurboCI schedule, DinoAI agents find missing descriptions and tests, then write and commit them, so docs and tests never go stale.

TurboCI
PR branch

Cost

Optimize expensive SQL weekly

A DinoAI agent finds the costliest Snowflake or BigQuery queries and dbt™ models. It removes anti-patterns, opens a pull request, and posts a credit summary.

Cost reduction
Query cost optimizer

Analytics

Run metrics reporting on a schedule

Build an agent that queries the marts and compares the last complete week with the one before. It posts a digest to Slack: what moved, what stayed stable, and any caveats.

Cron
Slack

Slack

Run an agent from Slack

Tag the Paradime bot in a channel or DM it, give it a task and watch it solve in Slack. Head over to the Agent Studio to see the same trace with detailed tool calls for insights.

Slack Agent
Teams

Join industry leaders winning with DinoAI agents

Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.

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