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🚀 Agentic Tooling: Beyond AI Workflows

Beta Feature

Agentic Tooling is currently in BETA and available in your agent settings. While powerful, this feature is still being refined based on user feedback.

How to Enable

Navigate to Settings > Agents > Hire Agent and toggle on "Agentic tooling" in the Optional Features section to unlock this game-changing capability!

Agentic tooling represents a fundamental leap beyond traditional AI workflows, offering unprecedented flexibility and scale in task automation and problem-solving.

🚀 What is Agentic Tooling?​

Agentic tooling empowers AI agents with a comprehensive suite of capabilities that enable them to autonomously plan, reason, execute, review, and complete short to medium-term tasks. Unlike rigid workflows, agents operate using only:

  • Natural language instructions - No coding or technical setup required
  • Granted tools and permissions - Flexible access to capabilities as needed

🛠️ Core Capabilities​

When you enable Agentic Tooling in your agent settings, you unlock:

  • 🌐 Internet Search: Real-time access to current information and research
  • 📚 RAG (Retrieval Augmented Generation): Intelligent document search and context retrieval from your Knowledge Hub
  • 📄 Doc-by-Doc Analysis: Systematic examination of multiple documents for comprehensive understanding
  • 🧠 Deep Thinking: Advanced reasoning and problem decomposition
  • 💻 Code Execution: Dynamic programming and data analysis capabilities
  • 🖌 Canvas: Collaborative document editing with real-time AI assistance
  • 📧 Email Integration: Send automated emails with dynamic content and attachments
  • 📱 SMS Messaging: Send text messages for notifications and alerts
  • 💬 WhatsApp Integration: Communicate via WhatsApp for broader reach
  • 📅 Task Scheduling: Plan and execute future tasks autonomously
Settings Location

Find these options under Settings > Agents > [Your Operator Agent] > Agentic tooling

Channel Setup Required

To use Email, SMS, and WhatsApp capabilities, you must first enable and configure these Agent Channels in your agent settings. Each communication channel requires proper setup before agents can utilize them.

Why Agentic Tooling Surpasses Traditional Workflows​

Traditional AI Workflows: Limited by Design​

  • Fixed sequences: Pre-defined steps that cannot adapt to unexpected scenarios
  • Rigid logic: If-then structures that break when encountering edge cases
  • Manual intervention: Require human input when facing novel situations
  • Limited scope: Can only handle anticipated use cases

Agentic Tooling: Dynamic and Adaptive​

  • Self-directed planning: Agents create their own task lists based on goals
  • Contextual adaptation: Adjust approach based on real-time findings
  • Error recovery: Automatically handle obstacles and find alternative solutions
  • Scalable complexity: Can tackle multi-faceted problems without pre-programming

Real-World Advantages​

Flexibility at Scale​

While a workflow might handle 10 predefined scenarios, an agent with agentic tooling can handle thousands of variations by:

  • Dynamically choosing which tools to use
  • Determining the optimal sequence of actions
  • Adapting when initial approaches fail
  • Learning from each step to improve the next

Example Comparison​

Traditional Workflow Approach:

1. Search for customer data →
2. Analyze sentiment →
3. Generate report

Fails if data format changes or new analysis is needed

Agentic Tooling Approach:

Goal: "Understand customer satisfaction trends"

Agent autonomously:
- Searches multiple data sources
- Identifies relevant patterns
- Cross-references with external market data
- Generates insights beyond predefined metrics
- Adapts analysis based on findings

The Paradigm Shift​

Agentic tooling represents a shift from:

  • Automation → Autonomy
  • Execution → Problem-solving
  • Predefined paths → Goal-oriented exploration
  • Technical complexity → Natural language simplicity

This isn't just an improvement—it's a fundamental reimagining of how AI systems can work for us, breaking free from the constraints of traditional programming and workflow design.

🎯 Getting Started​

Beta Access

This feature is in BETA. Performance and capabilities are actively being improved based on user feedback.

Enable Agentic Tooling​

You can enable agentic tooling when creating a new agent or by updating an existing one.

🆕 For New Agents​

  1. Navigate to Settings > Agents > Hire Agent.
  2. Select Operator mode.
  3. In the Optional Features section, toggle ON "Agentic tooling."

🛠️ For Existing Agents​

  1. Navigate to Settings > Agents.
  2. Select the agent you want to update.
  3. Scroll down to the Optional Features section and toggle ON "Agentic tooling."

We highly recommend also enabling Code Execution and Internet Search for maximum capability.

🎨 Vision Models (Available with Agentic Tooling)​

When Agentic tooling is enabled, you can select from these vision models for image understanding:

  • Sorcerer vision (ToothFairyAI exclusive)
  • Llama 4 Maverick vision
  • Llama 4 Scout vision
  • Llama 3.2 11b vision
  • Llama 3.2 90b vision
  • Qwen 2 72b vision

💻 Agentic Coding Models​

For complex agentic coding capabilities, you can select from all function models:

  • Mystica models (Strongly recommended for complex coding tasks)
  • All other function-capable models in your workspace

💡 Pro Tips​

  • Deep Search is automatically enabled with Agentic tooling for optimal results
  • Code Execution becomes available only after enabling Agentic tooling
  • For complex coding tasks, we strongly recommend using Mystica models for superior performance

🖌 Canvas: Collaborative Document Editing​

Canvas is a powerful feature within Agentic Tooling that enables real-time collaboration between you and your AI agent on documents.

How Canvas Works​

Think of Canvas as a shared workspace where you and your agent can work together on the same document:

Required First Step

You MUST create a Canvas document first - This is not optional. Click the action button at the bottom right of the Chat input section to create a new Canvas document before the agent can begin working with you.

  1. Create a Canvas (REQUIRED) - You must first create a Canvas document using the UI action button

  2. The agent assists - Your agent can then make intelligent adjustments to your document by:

    • Creating new paragraphs
    • Modifying existing content
    • Deleting unnecessary sections
    • Reorganizing structure

  3. Real-time collaboration - Both you and the agent can make changes:

    • You can edit before the agent starts working
    • You can review and modify after the agent completes its changes
    • The agent works recursively, refining the document based on your instructions

🧠 Knowledge Hub Integration​

Power Feature

Canvas documents can be integrated into your Knowledge Hub, making them part of your workspace knowledge base! This means:

  • Your Canvas documents become searchable resources for all agents
  • They can be used in RAG (Retrieval Augmented Generation) workloads
  • Build a growing library of collaborative documents that enhance your AI's understanding

Best Practices​

  • Minimize conflicts - Try to limit your edits while the agent is actively working on the document
  • Clear instructions - Give your agent specific guidance about what changes you want
  • Save to Knowledge Hub - Consider adding completed Canvas documents to your Knowledge Hub for future reference

Export Options​

Once you're satisfied with your document, Canvas offers flexible export options:

  • 📝 Markdown - For technical documentation and web content
  • 📄 DOCX - For Word documents and formal reports
  • 📑 PDF - For final, shareable versions

Canvas transforms document creation from a solitary task into a collaborative process, where AI doesn't just suggest changes but actively helps you build better content.

📅 Autonomous Task Scheduling: Beyond Reminders​

One of the most powerful aspects of Agentic Tooling is the ability for agents to schedule future tasks autonomously, transforming how we think about long-term planning and execution.

From Reminders to Autonomous Planning​

While traditional reminder systems simply notify you to do something, agentic task scheduling enables agents to:

  • Self-instruct for future execution - Agents can leave detailed instructions for themselves
  • Plan multi-step workflows - Schedule complex sequences of actions across time
  • Adapt based on future context - Make decisions when the scheduled time arrives
Subscription Requirements

Task scheduling through Jobs is available for Business and Enterprise subscriptions.

Example: Beyond Simple Email Reminders​

Traditional Reminder:

"Remind me to send a project update email in 2 weeks"

Result: You get a notification in 2 weeks to manually compose and send an email

Agentic Task Scheduling:

"In 2 weeks, analyze the current project status across all active tasks,
review recent team communications, identify key accomplishments and
blockers, then compose and send a comprehensive project update email
to stakeholders with actionable insights."

Result: The agent autonomously executes this entire workflow in 2 weeks, making real-time decisions based on current data

Real-World Applications​

Long-term Business Intelligence:

  • Schedule quarterly market analysis reports that adapt to current trends
  • Plan annual compliance reviews that adjust scope based on regulatory changes
  • Set up dynamic competitor monitoring that evolves with market conditions

Adaptive Content Strategies:

  • Schedule content creation that responds to trending topics
  • Plan marketing campaigns that adjust messaging based on current events
  • Create educational content series that builds on previous engagement

Proactive System Management:

  • Schedule performance optimization reviews that adapt to current system load
  • Plan security audits that focus on recently identified threat vectors
  • Set up maintenance tasks that adjust based on current system health

The Paradigm Shift: From Reactive to Proactive AI​

Traditional scheduling systems require you to define exactly what happens when. Agentic task scheduling enables:

  • Context-aware execution - Decisions made based on conditions at execution time
  • Self-modifying workflows - Agents can adjust their own future tasks based on results
  • Intelligent priority management - Agents can reschedule or modify tasks based on changing circumstances
  • Continuous learning loops - Each execution informs and improves future scheduled tasks

This represents a fundamental shift from "do this at this time" to "achieve this goal by this time using whatever approach works best given current conditions."

Managing Scheduled Tasks​

All tasks scheduled by your agents can be reviewed, monitored, and managed through the Jobs section in your settings:

  • Review scheduled tasks - See all upcoming agent-scheduled activities
  • Monitor execution results - Track success rates and outputs in External chats
  • Modify schedules - Adjust timing or disable tasks as needed
  • Delete obsolete tasks - Clean up completed or unnecessary scheduled activities

This central management ensures you maintain full visibility and control over your agents' autonomous planning activities.

Ready to Transform Your Workflow?

With agentic tooling, you're not just automating tasks—you're empowering AI to think, adapt, and deliver results that would be impossible with traditional workflows. Experience the future of AI assistance today!

Note: As this is a BETA feature, we welcome your feedback to help us improve. Report issues or suggestions through your account dashboard.