Run a natural, human-like AI assistant on WhatsApp

Waits for you to finish typing before replying, so your WhatsApp AI assistant feels like a real conversation.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"customer sends whatsapp message"]:::trig s0["wait to group full message"]:::task s1["summarize conversation history"]:::task s2["AI generates reply"]:::svc s3["send reply on whatsapp"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"natural whatsapp reply sent"/]:::out pay{{"conversations feel human not robotic"}}:::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 stepAn outside serviceResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsVoice & PhoneMessaging & NotificationsDocument Processing & OCRSpreadsheet & Database OpsWeb Scraping & Data Collection
Connects
WhatsAppPostgreSQLRedisGoogle Gemini

The problem it solves

Bots that reply the instant a message comes in feel robotic and often respond to half a thought, especially when customers send several messages in a row or voice notes. That choppy back-and-forth makes people trust the automation less.

Who it fits

Businesses running WhatsApp support or sales that want their AI assistant to feel like a real person, not a bot.

How it works

  1. Starts when a customer sends a message, voice note, or image on WhatsApp
  2. Waits briefly to group everything into one full thought
  3. Summarizes past conversation history to keep context without bloating it
  4. AI generates a natural, contextual reply
  5. Sends the reply back through WhatsApp
What you get

Conversations that feel human to your customers

Your WhatsApp customers get natural, human-like replies that keep the conversation feeling real.

What you get

A natural, context-aware WhatsApp reply sent to the customer.

What you need

A WhatsApp Business API (Evolution API) setup, a PostgreSQL database, a Redis instance, and a Gemini API key.

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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