Who should use the AI Chat workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Work
Practical execution plan for ai chat with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A validated, high-quality output that is ready for delivery.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A validated, high-quality output that is ready for delivery.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use DeepSeek Chat to a clear, documented objective and a system prompt ready to guide the ai. Then, you pass the output to Lobe Chat to a curated knowledge base accessible to the ai during the chat. Then, you pass the output to ChatGPT to a completed chat session that produces the desired output (e.g., a summary, draft, or solution). Then, you pass the output to Google Docs Voice Typing to a polished, ready-to-use output extracted from the chat. Finally, DeepSeek Chat is used to a validated, high-quality output that is ready for delivery.
Define Chat Objective & Context
A clear, documented objective and a system prompt ready to guide the AI.
Prepare Knowledge Base (Optional)
A curated knowledge base accessible to the AI during the chat.
Execute Core Chat Session
A completed chat session that produces the desired output (e.g., a summary, draft, or solution).
Extract & Format Output
A polished, ready-to-use output extracted from the chat.
Validate & Iterate (Optional)
A validated, high-quality output that is ready for delivery.
Clarify the purpose of the chat (e.g., customer support, brainstorming, content drafting). Identify the target audience and key constraints (tone, length, domain). Document this in a brief prompt template or system message.
Why DeepSeek Chat: DeepSeek Chat provides a built-in chat interface with strong text summarization and rewriting capabilities, making it suitable for defining chat objectives and context directly within the conversation.
If the chat requires specific or proprietary information, gather relevant documents, FAQs, or data. Upload or link these to the AI tool (e.g., via RAG or file upload). This step is optional for general knowledge chats.
Why Lobe Chat: Lobe Chat includes knowledge base management (RAG), which directly supports preparing a knowledge base by storing and retrieving relevant documents.
Start the conversation using the prepared system prompt and knowledge base. Ask questions or give instructions iteratively, reviewing each response for relevance and accuracy. Adjust prompts as needed to steer the AI.
Why ChatGPT: ChatGPT is a widely used AI chat interface for natural language generation and conversational AI, directly fulfilling the core chat session need.
Copy the final AI response(s) and format them for the intended use (e.g., save as a document, email, or code snippet). Remove any conversational artifacts (e.g., 'Sure! Here is...').
Why Google Docs Voice Typing: Google Docs Voice Typing enables real-time dictation and formatting, which can be used to extract and format output into a document.
If the output needs further refinement, run it through a second AI pass or human review. Check for factual errors, tone issues, or missing details. Repeat the core chat or editing steps as needed.
Why DeepSeek Chat: DeepSeek Chat provides text summarization and rewriting capabilities, which can help validate and iterate on the output by re-evaluating content.
§ Before you start
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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