AI Agent Task Board: Manage Multiple AI Coding Agents from One Dashboard

TL;DR: An AI agent task board is a shared workspace where you create tasks, route them to the right AI agent (Claude Code, Cursor, Gemini CLI, OpenCode), and track results — all from one dashboard. No more terminal juggling. Here's how to set one up in 5 minutes.

If you use more than one AI coding tool, you already know the pain:

• Claude Code runs in Terminal 1
• Gemini CLI runs in Terminal 2
• Cursor runs in VS Code
• Your to-do list is in Notion or a sticky note
• You manually decide which agent handles which task
• You copy-paste context between them when one needs another's output

An AI agent task board fixes all of this. One dashboard. All agents connected. Tasks route automatically.

In this guide:

• What is an AI agent task board
• Setup in 5 minutes
• How task routing works
• Real examples
• Cost breakdown

Related: How to Coordinate Multiple AI Coding Agents · Cursor Multi-Agent Workflow Setup · BYOK AI Platform Comparison · AI Agent Workflows

What Is an AI Agent Task Board?

An AI agent task board is a project management dashboard designed specifically for AI agents. Think of it like a Kanban board where the team members are AI agents instead of humans.

How it differs from a regular task board:

Regular Task Board (Jira, Linear)	AI Agent Task Board
Assign tasks to humans	Assign tasks to AI agents
Humans pick up tasks	Agents auto-pick up assigned tasks
Status updated manually	Status updates via streaming
Comments are text	Comments include code, diffs, analysis
One task = one assignee	One task can flow through multiple agents
No cost tracking	Cost per task tracked automatically

The workflow:

You create a task → Task routed to Agent A → Agent A completes → 
Output flows to Agent B → Agent B completes → Final result on dashboard

Each step streams in real time. You watch agents work from the dashboard, not from terminal windows.

Setup in 5 Minutes

Step 1: Create an Account (1 minute)

Go to ivern.ai/signup. Free account, no credit card. You get 3 squads and 15 tasks to start.

Step 2: Add Your API Key (30 seconds)

In Settings, add your Anthropic or OpenAI API key. This powers the AI agents. Keys are encrypted with AES-256 and never shared.

If you don't have a key:

• Anthropic: console.anthropic.com — $5 minimum
• OpenAI: platform.openai.com — $5 minimum
• Gemini CLI: Free with Google account (no key needed)

Step 3: Create a Squad (1 minute)

Click Create Squad. Name it. Add agents:

Agent	Model	Role
Researcher	Gemini 2.5 Pro	Codebase analysis, documentation (free)
Developer	Claude Sonnet	Feature implementation, debugging
Reviewer	Claude Haiku	Code review, test verification ($0.02/task)

Step 4: Connect Terminal Agents (1.5 minutes)

In separate terminals:

# Connect Claude Code
npx @ivern-ai/agent install --key YOUR_IVERN_KEY --provider claude

# Connect Gemini CLI
npx @ivern-ai/agent install --key YOUR_IVERN_KEY --provider gemini

Each agent registers with the task board and waits for assignments.

Step 5: Create Your First Task (30 seconds)

From the dashboard, click New Task:

"Analyze the authentication module and identify security vulnerabilities."

Click Assign to Researcher. The task routes to Gemini CLI. Results stream back to the dashboard in real time.

That's it. You're managing AI agents from a task board.

How Task Routing Works

Task routing determines which agent handles which task. There are two approaches:

Manual Routing

You pick the agent when creating the task. Good for when you know exactly which agent should handle it.

• Researcher → codebase analysis, documentation, large-context tasks
• Developer → implementation, debugging, production code
• Reviewer → code review, test verification, quick checks

Pipeline Routing (Automatic Flow)

You define a sequence of agents. The output of one feeds into the next:

Research (Gemini, free) → Implement (Claude Sonnet) → Review (Claude Haiku)

This is ideal for multi-step work where each phase builds on the previous one.

Example task with pipeline routing:

"Add a /notifications endpoint. Researcher: analyze existing API patterns. Developer: implement the endpoint with proper error handling. Reviewer: verify tests and code quality."

Each agent executes in sequence. The dashboard shows progress through each phase.

Real Examples

Example 1: Feature Request

Task: "Add dark mode toggle to the settings page"

Pipeline: Researcher → Developer → Reviewer

Phase	Agent	What Happens	Time	Cost
Research	Gemini CLI	Finds existing theme patterns, CSS variables, and settings API	30s	Free
Implement	Claude Sonnet	Builds dark mode toggle component, updates CSS, adds API endpoint	2min	$0.12
Review	Claude Haiku	Checks for accessibility issues, verifies responsive design, runs tests	30s	$0.02

Result: Production-ready dark mode in 3 minutes for $0.14.

Example 2: Bug Investigation

Task: "Users report slow loading on /dashboard"

Pipeline: Researcher → Developer

Phase	Agent	What Happens	Time	Cost
Research	Gemini CLI	Profiles the dashboard route, identifies N+1 queries and missing indexes	45s	Free
Fix	Claude Sonnet	Adds database indexes, implements query batching, adds caching	1.5min	$0.10

Result: Dashboard loads 4x faster in 2.5 minutes for $0.10.

Example 3: Code Review Batch

Task: "Review all unreviewed PRs. For each: summarize, flag risks, approve or request changes."

Single Agent: Reviewer (Claude Haiku)

Result: 5-10 PRs reviewed in 3-5 minutes for ~$0.10 total.

Cost Breakdown

Per-Task Costs

Task Type	Agents Used	Typical Cost
Simple fix (single agent)	Developer	$0.05-0.15
Feature with review	Developer + Reviewer	$0.10-0.20
Full pipeline	Research + Dev + Review	$0.10-0.25
Codebase analysis	Researcher only	Free
Batch PR review	Reviewer only	$0.05-0.15

Monthly Cost (Daily Usage)

Usage Level	Tasks/Week	Monthly API Cost
Light	10	$2-4
Moderate	30	$5-10
Heavy	100	$15-30

Compare to subscription alternatives:

• GitHub Copilot: $10-19/month (single agent, no task board)
• Cursor Pro: $20/month (single agent, no task board)
• ChatGPT Plus: $20/month (single agent, no task board)

The task board approach is cheaper and more capable because you only pay for what you use and each task goes to the optimal agent.

The Dashboard Features You Need

When choosing an AI agent task board, look for:

Real-Time Streaming

Watch agents work as they produce output — don't wait for completion. This lets you spot issues early and redirect if needed.

Cost Tracking Per Task

Every task shows its token usage and cost. This prevents bill surprises and helps you optimize agent assignments.

Task History

All completed tasks are searchable. You can reference past work when creating new tasks, giving agents better context.

Multi-Model Support

The task board should support multiple providers (Anthropic, OpenAI, Google) so you can use the best model for each task type.

Squad Templates

Pre-built agent configurations save setup time. A "Dev Team" template should include Researcher, Developer, and Reviewer out of the box.

Frequently Asked Questions

How is this different from a regular project management tool?

Regular tools (Jira, Linear, Trello) manage human work. An AI agent task board manages AI agent work. The key differences: agents pick up tasks automatically, results stream in real time, and costs are tracked per task.

Do I need to know how to code to use this?

No. The Ivern task board is a web interface. You type tasks in plain language and assign them to agents. No terminal, no YAML, no Python required.

Can multiple people share a squad?

Yes. Team members can create tasks and assign them to agents. Everyone sees the same task board and results.

What happens if an agent fails a task?

The task status changes to "failed" on the dashboard. You can reassign it to a different agent or retry with better instructions.

Can I use this for non-coding tasks?

Yes. The same task board works for research, writing, analysis, and other tasks. Create squads for different use cases: Dev Team, Content Team, Research Team.

How secure is my API key?

Keys are encrypted with AES-256 at rest. They're decrypted only when making API calls on your behalf. Keys are never shared, logged, or accessible to other users.

Get Started

1. Sign up free at ivern.ai/signup
2. Add your API key (Anthropic $5, or use Gemini CLI for free)
3. Create a squad with your agent roles
4. Connect terminal agents with one command each
5. Assign your first task from the dashboard

Stop juggling terminal windows. Start managing AI agents from one place.

Create your free AI agent task board →