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Automation Brain is the hero tool of the engine. Describe any business process in plain English and it produces a complete automation blueprint: the trigger, each step, the tools to use, the logic for handling edge cases, and implementation notes.

For example: "When a customer fills in my contact form, I want to automatically send them a welcome email, add them to my CRM, notify my team on Slack, and create a follow-up task for 3 days later." Automation Brain returns a structured blueprint covering every step, which tools handle each one, and what to watch out for.

This is the starting point for any automation project — understand what you're building before you build it.

The Workflow Automation section generates ready-to-implement configurations for the major automation platforms.

Zapier Workflow Generator describes the trigger, each action step, and the specific Zapier modules to use. Make.com Scenario Generator does the same for Make's visual workflow builder. n8n Workflow Generator produces node-by-node workflow descriptions for the open-source n8n platform. Power Automate Flow Generator covers Microsoft's ecosystem — SharePoint, Teams, Planner, Outlook.

The ROI Calculator takes a process, the current manual time, frequency, number of people, and hourly rate — and returns the annual cost of doing it manually vs the estimated cost of automation. Automation Idea Generator takes your business type, current tools, and pain points and returns 10 specific automation opportunities ranked by impact.

Automation Audit Tool reviews an existing automation you describe and identifies failure points, edge cases, and improvements. Error Handling Guide and Automation Testing Checklist round out the section.

Before automating a process, you need to understand it. The Process Automation section handles the analysis work.

Business Process Mapper takes a description of how a process currently works and produces a structured map of each step, decision point, and handoff. Bottleneck Identifier analyses your process description and flags where delays, errors, and blocks typically occur. Manual Task Identifier reviews your process and explicitly calls out every step that is manually done and therefore automatable.

Automation Priority Scorer takes a list of automation opportunities and scores each one by impact, effort, and cost — so you know where to start. Process Documentation Generator produces a structured written document from your process description, suitable for onboarding new team members. Email Automation Sequence Builder creates a complete triggered email sequence for a given goal and audience.

Prompt Generator takes a description of what you want the AI to do, the model you're using, and the desired output format — and produces an optimised prompt. Prompt Improver takes an existing prompt, identifies what's wrong with it, and returns a better version.

System Prompt Generator produces complete system prompts for AI assistants — covering role, business context, personality, restrictions, and special instructions. This is how you build a consistent AI persona for customer service, sales, or internal tools.

Role Prompt Generator creates expert persona prompts — "act as a senior tax accountant advising small businesses." Few-Shot Example Generator produces training examples for a given classification or generation task. Prompt Template Library returns 20 ready-made prompts for common business tasks.

Text Classifier assigns categories to a list of text samples — give it your category list (Support, Sales, Billing, Complaint) and paste your text samples, and it returns each one labelled. Sentiment Labeller marks each text as positive, negative, or neutral. Named Entity Tagger identifies people, places, and organisations in text. Intent Classifier takes customer messages and identifies the intent behind each one.

These tools are useful for businesses building AI products, cleaning up CRM data, or preparing training datasets. Dataset Quality Checker reviews a sample of training data and flags issues. Bias Detector analyses a dataset for systematic biases before it's used for training.

AI Agent Planner takes a goal, available tools, and constraints — and designs a multi-step AI workflow to achieve it. Tool Selection Guide takes a use case, budget, technical level, and current stack — and recommends which AI tools to combine and why.

Agent Prompt Chain Generator takes a complex task and breaks it into a sequence of prompts — each taking the output of the previous step as input. Memory & Context Guide advises on how to handle memory across sessions for a specific AI application. Output Validation Guide produces quality checks and validation rules for a given AI task.

Fine-tuning Guide takes your use case, current model, and available data — and advises whether fine-tuning is appropriate or whether better prompting would achieve the same result. Prompt vs Fine-tune Decision is a direct tool for this exact question: given your use case, data, budget, and current approach, should you fine-tune or prompt?

Training Data Formatter prepares raw training examples for fine-tuning in the correct format for a specified model. Dataset Size Calculator estimates how many training examples you need for a given task and quality target. Model Evaluation Framework produces a structured evaluation plan for testing a fine-tuned model before deployment.