Give your custom app a smart AI chatbot backend with memory

Powers your own chat app with an AI assistant that remembers past conversations and can use outside tools to answer.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"user sends chat message"]:::trig s0["find or create session"]:::task s1["summarize earlier messages"]:::task s2["generate AI answer"]:::task s3["send reply to app"]:::task trig --> s0 s0 --> s1 s2 --> s3 gx{"× does answer need tools"}:::gate s1 --> gx p00["call external tool"]:::task gx -->|"needs outside tool"| p00 p01["use result in answer"]:::task p00 --> p01 p10["answer directly from context"]:::task gx -->|"no tool needed"| p10 jn{"○ continue to reply"}:::gate p01 --> jn p10 --> jn jn --> s2 out[/"AI reply delivered to app"/]:::out pay{{"custom chatbot without building a backend"}}:::pay s3 --> 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 stepOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGAPI & Webhook Integration
Connects
Groq

The problem it solves

You want a custom AI chatbot inside your own app or website, but building the backend that remembers conversations, manages sessions, and keeps costs down is a whole project on its own.

Who it fits

Businesses building a custom app or website that needs an AI chat feature without building the backend from scratch.

How it works

  1. Triggered when a user sends a message from your app
  2. The system finds or creates a conversation session for that user
  3. It summarizes earlier messages to keep context relevant without wasting cost
  4. The AI assistant answers, using outside tools when the question needs them
  5. The reply and updated conversation are sent back to your app
What you get

Chat conversations your app remembers without extra engineering

Your app gets an AI chat feature that remembers past conversations and can pull in outside information to answer questions.

What you get

An AI-generated reply delivered to your app, with the conversation remembered for next time.

What you need

An account with an AI model provider and a database for storing conversations.

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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