Set up an AI chat assistant powered by DeepSeek

A ready-to-use AI chat assistant built on DeepSeek's models, with memory so it remembers the conversation.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"user sends chat message"]:::trig s0["check conversation history"]:::task s1["generate response with DeepSeek"]:::svc s2["return reply to user"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"AI reply delivered in chat"/]:::out pay{{"working assistant without building one"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsAPI & Webhook IntegrationDevOps & IT Operations
Connects
DeepSeekOllama

The problem it solves

Setting up an AI assistant for your team or product usually means comparing models, testing APIs, and wiring up memory so it doesn't forget context between messages. You want a working chat assistant without spending days on setup and trial and error.

Who it fits

A technical team or founder who wants a working AI chat assistant without building one from scratch.

How it works

  1. A message comes in through the chat interface
  2. The assistant checks recent conversation history for context
  3. DeepSeek's chat or reasoning model generates a response
  4. The reply is returned to the conversation
What you get

A working chat assistant without building one

You get a working AI chat assistant with memory, ready to plug into your own projects without building one from scratch.

What you get

A working AI chat assistant that remembers context and responds using DeepSeek's models.

What you need

A DeepSeek API key, or a local Ollama setup if running the model on your own machine.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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