Welcome to Vanish

Autonomous Agents that complete tasks 100x faster across your entire stack

Three things that make Vanish different

Autonomous Agents remember everything important
Your Autonomous Agents remember your projects, tools, workflows, and preferences. They maintain context across all your apps and tasks.
Autonomous Agents work across your entire stack
From databases to APIs to deployment - your Autonomous Agents handle tasks across all your tools, finishing in minutes what used to take hours.
Autonomous Agents multiply your productivity
Deploy multiple Autonomous Agents that work in parallel. Watch them complete complex multi-step tasks 100x faster than traditional methods.

Getting Started

1. Describe what you need done

Tell your Autonomous Agent what you want to accomplish - Autonomous Agents understand complex, multi-step tasks.

2. Watch them work across your tools

Autonomous Agents access databases, call APIs, update code, run tests, and deploy - all automatically.

3. Get results 100x faster

Tasks that took hours now complete in minutes. Your Autonomous Agents handle the tedious work while you focus on what matters.

Pro tip: For best results, break complex tasks into steps.

Read our Best Practices Guide →

See it in action

You:
"When high-priority support emails come in, create Jira tickets and notify the team in Slack"
Autonomous Agent:

I'll set up this workflow across Gmail, Jira, and Slack. Here's what I'm doing:

  • Monitoring Gmail inbox for emails with "urgent" or "critical" keywords ✓
  • Found new high-priority email from customer@company.com
  • Creating Jira ticket: "SUPPORT-4521: Database connection timeout issue"
  • Adding customer details and email content to ticket description ✓
  • Assigning to on-call engineer based on schedule ✓
  • Posting to #support-alerts Slack channel with ticket link
  • Added 👀 reaction and threaded the customer's email content
  • DM'd assigned engineer with context and suggested solutions

Workflow complete! Your team is notified and ticket is tracked.

Time elapsed: 15 seconds (vs 10-15 minutes manually)

Best Practices

Break Complex Tasks into Steps

❌

Don't:

"Create a complete CRM system with reporting and notifications"

✅

Do:

1. "Let's set up the customer database"

2. "Now add the contact management features"

3. "Great! Let's create the reporting dashboard"

Why: Prevents token limits, maintains context, allows verification at each step

Wait for Completion Between Steps

Let your autonomous agent finish each task before giving the next instruction. This ensures quality and prevents confusion.

Handle Rate Limits Gracefully

If you see rate limit errors, wait 1-2 minutes before continuing. Break large data operations into smaller batches.

Use Memory Effectively

Your autonomous agent remembers previous conversations in the same chat. Reference past work: "Using the schema we created earlier..."

Perfect for tasks like

Customer Support Automation

Monitor Gmail for support requests, create Jira tickets, update CRM records, and notify teams in Slack - all automatically.

Sales Pipeline Management

Track emails from prospects, update HubSpot deals, create follow-up tasks in Asana, and send Slack alerts when deals move stages.

Project Status Updates

Gather updates from Jira, GitHub, and Google Docs, then compile and send weekly reports via Gmail and post summaries to Slack.

Lead Routing & Assignment

Parse incoming leads from Typeform, enrich data with Clearbit, assign to sales reps in Salesforce, and notify via Slack.

Your data is always private. Autonomous Agents only access what you explicitly allow, and you maintain full control over your workspace and tools.

Start Working 100x Faster →