Hatcher (Bot Builder) — Build Your Own Bot
Hatcher is where you turn "general-purpose AI" into "your dedicated digital employee."
Native Botrun can do a bit of everything, but Hatcher lets you build an AI Bot specialized for a specific business scenario — one that knows your terminology, follows your rules, and only uses the tools you specify.
Case Study: Ministry of the Interior — Visa Review in 30 Seconds
Scenario: The Department of Civil Affairs reviews large volumes of foreign national study-in-Taiwan applications each year. Each case required 3 hours of manual review.
Hatcher configuration:
- Role: Visa review specialist
- Knowledge base: Eight types of official document draft templates and review form templates
- Tools: PDF analysis (passport recognition), automatic document merging ("paper clip" function)
What the Bot can do:
- Upload application documents (up to 10-person groups)
- Automatically recognize names, passport numbers, and dates of birth from passports
- Automatically verify Taiwan participation ratio (must reach 50%)
- Generate complete official documents (3 pages) + review forms (1 page)
- Automatically create a "supervisor review checklist" with page number references
Result: Manual 3 hours → AI 30 seconds to 1 minute
What Is Hatcher?
Hatcher is Botrun's Bot builder. Think of it as an "AI laboratory": you define the role, knowledge, and tools, and Hatcher assembles a custom AI assistant for you.
No coding required. The entire process is just filling out forms, uploading files, and selecting tools.
Native Botrun vs. Hatched Bot
| Native Botrun | Hatched Bot | |
|---|---|---|
| Who can use it | Everyone, available instantly | You build it, share with specific people |
| Knowledge scope | General knowledge + web search | General knowledge + your uploaded documents |
| Behavior rules | Platform defaults | Your defined role, tone, and restrictions |
| Tool capabilities | Platform default tools | Your selected tool combination |
| Best for | Ad-hoc Q&A, quick analysis | Repeatable professional workflows |
What You Can Configure
Hatcher's configuration is divided into five sections:
1. Basic Settings
| Setting | Description | UI Label |
|---|---|---|
| Bot Name | Give your Bot a memorable name | "Name" |
2. Prompt Engineering (The Core)
The prompt template is the Bot's "brain instructions" — it defines who the Bot is, how it speaks, and what it can and cannot do.
You can configure the following in your prompt:
| Aspect | Description | Example |
|---|---|---|
| Role Definition | The Bot's identity and expertise | "You are a SQL expert at the Ministry of the Interior, specializing in population statistics database queries" |
| Interaction Rules | Conversation style and tone | "Use Traditional Chinese (Taiwan), warm but professional tone" |
| Restrictions | What the Bot cannot do | "Do not provide legal interpretations, only direct users to the responsible agency" |
| Task Objective | The Bot's purpose | "Help users convert natural language descriptions into executable SQL queries" |
| Output Format | Response structure | "Always include the referenced regulation number in each response" |
3. Bot Mode
| Mode | Description | Best For |
|---|---|---|
| Basic Mode | Pure conversation, responds directly using the prompt | Simple Q&A, text processing |
| Multi-Agent Mode | Can call tools, autonomously decides when to use which tool | Complex tasks requiring web search, file analysis, and chart generation |
When multi-agent mode is selected, the Bot gains "autonomous thinking" — it determines which tools your question requires and combines them automatically.
Model Selection: Basic mode and multi-agent mode each have their own independent model pool, so you can choose the most suitable model for each need.
4. MCP Toolbox (Multi-Agent Mode Only)
Select the tools you want to give your Bot. Currently supports 8 MCP applications:
| Application | Capability |
|---|---|
| Google Drive MCP | Real-time cloud document reading and collaboration |
| Cloud File MCP | Read, write, and modify files on cloud servers |
| Remote PDF MCP | Read and combine public PDF documents |
| Remote Web MCP | Real-time web content crawling and extraction |
| SQLite MCP | Fast, precise structured data queries |
| Perplexity MCP | Real-time web information aggregation |
| Playwright MCP | Web automation and testing |
| Google Maps MCP | Location-aware precise search |
Multiple tools can be combined. For example: a Bot first uses Perplexity to search for data, then uses Remote PDF to read documents, and finally compiles a report.
5. Knowledge Base
Upload your own documents, and the Bot will answer questions based on this data.
| Feature | Description |
|---|---|
| Add Files | Upload multiple files (up to 200MB each) |
| Supported Formats | PDF, Word, CSV, Excel, and more |
| Semantic Search | Bot uses vector search to find the most relevant content |
| Source Citations | Responses include source references for verification |
| Domain Filtering | Restrict search results to specified websites only |
Build Steps (Done in 5 Minutes)
Step 1: Click the "Hatcher" tab in the top navigation bar
↓
Step 2: Click "Create BOT"
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Step 3: Enter a name (e.g., "Ministry of Interior Visa Review")
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Step 4: Write prompt engineering (define role, rules, tasks)
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Step 5: Choose BOT mode
├── Basic: Pure conversation
└── Multi-Agent: Can use tools → Select MCP tools
↓
Step 6: Upload knowledge base files (optional)
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Step 7: Test in real-time using the right-side testing panel
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Done! The system auto-saves every 3 seconds
Save status indicator: The interface shows "Unsaved" → "Saving" → "Saved at XX:XX!"
Share Your Bot
| Feature | Description |
|---|---|
| Copy Unique URL | One-click copy, paste to colleagues and they can use it |
| Targeted Sharing | Share with specific users |
When recipients open the link, they see the Bot's introduction page and can click "Add and Start Conversation" to begin using it.
Advanced Usage
Pairing with High-Taste Examples
Hatcher + High-Taste Examples is the best combination:
- Create a Bot in Hatcher, defining the role and tools
- Provide examples using High-Taste Examples (six fields: motivation, benefit, question, answer, source data, evaluation criteria)
- The Bot automatically learns how to respond from the examples
- No need to manually refine prompts — once the examples are ready, the prompt engineering is complete
Hatcher FAQ
| Question | Answer |
|---|---|
| I don't know how to write prompts? | Use High-Taste Examples to provide examples, and AI learns automatically |
| Can others see my Bot? | No, unless you actively share it |
| How many Bots can I create? | No limit |
| Is there a file size limit? | 200MB per file |
| Will I lose my work mid-edit? | No, the system auto-saves every 3 seconds |
| Can I change the model? | Yes, basic mode and multi-agent mode each have independent model pools |
Next Steps
- ← Back to Features Overview
- Want to learn about native features? → See Native Botrun
- Want to learn about platform capabilities? → See Platform Capabilities