02 — How Juno Thinks

Perception Stack

Juno’s perception begins with what it sees:

• Your wallet (connected via Phantom or MetaMask)

• Your tokens (with prices, balances, and movement)

• External wallets (developers, whales, known movers)

• On-chain risk flags (pulled from GoPlus)

Rather than showing everything at once, Juno watches in the background and identifies:

• Token-level risk (mintability, trading paused, honeypot flags)

• Whale movements and stealth launches

• Patterns across addresses and time

This “perception stack” is always active. It feeds Juno’s alerts, chat context, and UI highlights without overwhelming the user.

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Memory System

Juno doesn’t just respond, it remembers.

It uses a session-based memory layer to keep track of:

• Recent user prompts

• GPT-4 responses

• Connected wallet metadata

This memory allows Juno to:

• Maintain context over long chats

• Reference your portfolio or risk flags in conversation

• Build prompt chains that feel natural

Though currently session-only, Juno is designed to evolve into persistent memory giving it the ability to learn your patterns over time.

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Language Core

At the center of Juno is its ability to speak powered by GPT-4.

Juno’s prompt design is custom-crafted with:

• Portfolio and wallet summaries

• Risk data injection

• Prior memory layering

• Instructional tone to keep its responses focused, clear, and non-hype

Juno doesn’t speak like a chatbot. It speaks like a system that knows your position, your pace, and your style of trading.

It is:

• Calm

• Contextual

• Purposeful

This makes Juno less reactive and more like an intelligent observer.

As its training expands, Juno’s language core will adapt further to:

• Detect urgency

• Speak differently based on user type

• Handle conversations that go deeper into crypto strategy