Deploy agents.
Ship everything.

Create AI agents that plan, execute, and delegate across your projects. Configure custom models, run autonomous discovery cycles, and generate ideas and assets 24/7 — while you focus on what matters.

7-day trial
Cancel anytime
No credit card
3 Agents Active
Autonomous: ONCycle: #47Runtime: 12d 7h
Researcher
Claude 3.5
Working12 tasks
Writer
GPT-4o
Idle8 tasks
Reviewer
Gemini Pro
Reviewing5 tasks
Recent Activity
Researcher completed: Market analysis report
Writer generated: Blog post draft
Reviewer requested revisions on: Landing page copy

From Idea to Output in 3 Steps

No complex setup. Just create, assign, and review.

01

Create Your Agent

Configure a new agent with a name, model, system prompt, and capabilities. Choose from 200+ LLMs via OpenRouter.

02

Assign a Task

Give your agent a task — or let it run autonomously. For complex work, use delegation strategies to distribute sub-tasks across multiple agents.

03

Review & Iterate

Browse outputs in the Agent Output Library. Approve, request revisions, or feed results back into the next cycle.

FEATURES

Everything you need to deploy AI agents

From agent creation to autonomous execution — built for teams that ship.

Agent Creation & Configuration

Create agents with custom names, model selection, system prompts, and capability toggles. Each agent is a specialised worker tuned for specific tasks.

Sub-Agent Delegation

Break complex tasks into sub-tasks and delegate across multiple agents simultaneously. Choose from 5 strategies: parallel, sequential, divide & conquer, and more.

Autonomous Mode

Let agents run continuous discovery cycles on a schedule. They generate ideas, create multi-format assets, and log everything — no manual prompting required.

Agent Output Library

Browse all agent-generated content in card, table, graph, or timeline views. Search, filter, and export assets across your entire agent ecosystem.

Multi-Model Support

Choose from GPT-4o, Claude 3.5, Gemini 1.5 Pro, Llama 3, and 200+ models via OpenRouter. Each agent can use a different model optimised for its role.

Notifications & Reviews

Get notified on completions, errors, and review requests. Agents can review each other's work in a quality-controlled pipeline before final approval.

DELEGATION STRATEGIES

Five ways to delegate. One unified workflow.

Break complex tasks into sub-tasks and distribute them across multiple AI agents. Choose the strategy that matches your workflow.

parallel by category

Parallel by Category

Split work across agents by category — each agent handles a different domain in parallel. Perfect for multi-faceted research projects.

parallel by role

Parallel by Role

Assign agents different roles — researcher, writer, reviewer — to work simultaneously on the same task. Ideal for content pipelines.

sequential pipeline

Sequential Pipeline

Chain agents in sequence — each agent's output feeds into the next for multi-stage processing. Great for data enrichment workflows.

divide and conquer

Divide & Conquer

Split a large task into equal chunks and distribute across agents for parallel processing. Best for bulk data analysis or content generation.

custom

Custom Strategy

Define your own delegation logic — assign specific sub-tasks to specific agents with custom instructions and review gates.

AUTONOMOUS MODE

Ideas and assets.
Generated while you sleep.

Turn on autonomous mode and let your AI agents run continuous discovery cycles — generating ideas, creating assets, and logging everything to your library. No manual prompting required.

Continuous Idea Generation

Agents scan your project context and generate fresh ideas with confidence scoring, priority indicators, and category tagging — on a schedule you control.

Multi-Format Asset Creation

From code snippets to blog posts, video scripts to images — agents create production-ready assets using DALL-E 3, Google Imagen, or your preferred LLM.

Full Activity Logging

Every cycle, every idea, every asset is logged with timestamps, status, and error tracking. Search, filter, and review everything your agents produce.

Enable autonomous mode
Agent Cycle Active — Cycle #47
Ideas Generated
1,284
Assets Created
342
Success Rate
97.2%
Runtime
12d 7h
Recent Activity
Asset created: Blog post draft
Idea generated: Feature expansion
Image generation queued
Agent Output Library

Every output,
organised and searchable.

The Agent Output Library is your central repository for everything your agents produce. Browse in card, table, graph, or timeline views — search, filter, and export across your entire agent ecosystem.

  • Four view modes: Card, Table, Graph, Timeline
  • Search and filter by agent, type, status, or date
  • Export assets for reuse across projects
  • Full version history with diff tracking
Browse the library
Agent Output Library showing card, table, graph, and timeline views
PERFORMANCE
< 10s
Agent response time
90%
Less manual work
24/7
Autonomous uptime
200+
Supported models
Ecosystem

Connects with your
entire stack.

Glitch Bot doesn't live in a silo. Import your existing issues, sync with your workspace, post across social platforms, and keep your documentation updated automatically.

Project & Dev

Tools for your workflow

Jira
Notion
Trello
Confluence
Atlassian

Social Media

Post across every platform

X
LinkedIn
Instagram
Facebook
@
Threads
+
More Soon
FAQ

Got Questions?

DEPLOY

Your first AI agent
is one click away.

Join high-velocity teams that have eliminated manual work with autonomous AI agents.

Deploy Your First Agent Free