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Guide: Building an “AI Quote Writing Assistant” with Chat Flow

Are you tired of customers saying something vague like “I want to build an app like Uber” and then demanding a detailed quote immediately? Instead of spending 2 hours writing, this tutorial will show you how to use AIHive Chat Flow to create a Bot that does this automatically in just 30 seconds. We’ll use Chat Flow - AIHive’s drag-and-drop logic graph tool. You don’t need to know coding!

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”Assembly Line” Concept

Before getting started, imagine Chat Flow like a factory assembly line with workers sitting in sequence:
  • Node (Block): Each specialized worker (e.g., Node A specializes in analysis, Node B specializes in writing).
  • Connectors: Conveyor belts to transfer documents from one person to another.
  • Variables \{\{...\}\}****: This is the most important concept. When Worker B wants to work, they must take Worker A’s result to process further.
🔑 Golden Rule: To get data from a previous Node, press the { key (curly bracket) in the input field to open the variable list.

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Step-by-Step Practice

When you create a new Chat Flow, the Canvas screen will display 2 basic blocks: Start and Answer connected together.

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Step 1: Configure “Start” Node (Input)

This node already exists, just click on it to edit.
  1. Click on the Start node.
  2. Ensure the configuration panel has the sys.query field. This is where customer chat messages are received.
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Step 2: Add “BA Analysis” Node

Task: Read sys.query to analyze.
  1. Add an LLM node after Start, rename it to BA_Analysis.
  2. In the “Context” section, select: sys.query
  3. Configure SYSTEM (Role):
    “You are a senior Business Analyst (BA) with 10 years of experience.
    Task: From the customer’s rough idea, break it down into a detailed list of Functional Requirements.
    Clearly divide: End-user App, Admin Web (CMS/Admin), and Backend.
    Output: Only list features as bullet points, keep it concise.”
  4. Configure USER (Create context with Variables):
    • Type the prompt: Analyze the following customer request:
    • Insert variable: Press \{ key, select sys.query.
    • Correct display: Analyze the following customer request: \{\{Start.sys_query\}\}
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Step 3: Add “Tech Architect” Node

Task: Read BA’s analysis result to choose technology.
  1. Add an LLM node after BA, connect to BA, rename it to Tech_Stack.
  2. Configure Context: Select \{\{BA_Analysis.text\}\}
  3. Configure SYSTEM:
    “You are a Solution Architect. Suggest the most optimal Tech Stack for this project.
    Prioritize modern Stack:
  • Mobile: Flutter (Cross-platform).
  • Backend: Node.js (NestJS) or Supabase.
  • Database: PostgreSQL. Briefly explain the reasons for your choices.”
  1. Configure USER (Create context with Variables):
    • Type: Based on the following functional analysis:
    • Insert variable: Press \{ key, select \{\{BA_Analysis.text\}\}
    • Correct display: Based on the following functional analysis: \{\{BA_Analysis.text\}\}
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Step 4: Add “Write Quote” Node (Important)

Task: Read ALL previous variables to compile into a document.
  1. Add an LLM node after Tech_Stack, rename it to Write_Quote.
  2. In the “Context” section, select: Tech_Stack / text
  3. Configure SYSTEM:
    You are a Sales Director. Your task is to write a professional, persuasive Technical Proposal to send to the customer immediately.
    Format: Beautiful Markdown.
    Required structure:
  1. Project Overview (Understand customer pain points).
  2. Scope of Work (from BA).
  3. Technical Solution (Tech Stack - from Architect).
  4. Implementation Roadmap (Estimated timeline by week).
  5. Budget Estimate (Reference price range in USD). Tone: Professional, trustworthy, encouraging deal closure.
  1. Configure USER (Combine 3 variables into context): You need to insert 3 variables sequentially for the AI to have complete information. Enter exactly as below:
    • Type: 1. Customer request: Press \{, select Start / sys.query
    • Type: 2. Detailed features: Press \{, select BA_Analysis / text
    • Type: 3. Proposed technology: Press \{, select Tech_Stack / text
    The interface will look like:
text
1. Customer request: \{\{Start.sys_query\}\}
2. Detailed features: \{\{BA_Analysis.text\}\}
3. Proposed technology: \{\{Tech_Stack.text\}\}
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Step 5: “Answer” Node (Return Result)

Task: Get the final variable and display on screen.
  1. Click on the Answer node at the end.
  2. In the Response field, delete all existing text.
  3. Insert variable: Press \{ key, select Write_Quote / text.
    • Correct display: \{\{Write_Quote.text\}\}

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Common Error Troubleshooting

During the process, 99% of beginners will encounter an error with red text: “Please fill in context variable in PROMPT”.
⚠️ Cause: You used variable {{Start.query}} in the prompt, BUT you haven’t declared it in the Context section of that Node.
Fix:
  1. Look below the System field of the erroring Node.
  2. Find the Context section.
  3. Click Add.
  4. Select the exact variable you’re using in the Prompt.
  5. The red error will disappear.

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Result

Now click the Debug and Preview button in the top right corner.
  1. Test input: “I want to build a medical appointment booking app.”
  2. Result: You’ll see the Nodes light up sequentially:
    • BA analyzes requirements.
    • Tech chooses technology stack.
    • Sales writes the proposal.
    • Final: Returns a full-page professional quote.
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