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- AI x Crypto Lesson 8: Design your first Token idea with AI Step by Step
AI x Crypto Lesson 8: Design your first Token idea with AI Step by Step
Turning ideas into a clean, launch-ready token concept
TL;DR BOX
This lesson shows how I use AI to turn vague ideas into a clean, believable token concept that fits a real launch pipeline. AI doesn’t create good tokens, it creates clarity. I use it to brainstorm options, stress-test logic, align tokenomics with narrative, and write launch-ready text without hype or fake promises.
The workflow is simple and repeatable: choose a chain, define one clear audience, pick a narrative people understand, decide optional utility, design simple tokenomics, map the PinkSale → liquidity → DEX path, and plan basic marketing phases. Every step is checked for realism, trust, and beginner safety.
AI speeds this up, but judgment stays human. The goal isn’t “moon ideas.” It’s concepts that make sense on-chain and don’t fall apart when people look closer.
Key points
Fact: Tokenomics and narrative must support each other.
Mistake: Using AI to chase hype instead of clarity.
Action: Build your token idea using a clear 7 step blueprint before thinking about launch.
Critical insight
Strong tokens aren’t magic, they’re structured ideas that survive scrutiny.
Table of Contents
Before we dive in, take this Crypto and Blockchain Cheat sheet - a quick, printable snap shot you can keep open while you read!

There are plenty of ways to make money with crypto, from hard to easy. If you’re curious, check out the two CryptoFire articles written by my team member here 👇️😀:
I myself will share how to use AI to launch a crypto project from a simple idea. You’ll see things from a project owner’s point of view, which helps you understand marketing, pricing, timing, and how everything really works - so you can build better instincts for your future investments. Let’s hop in! 🔥💣️
The most important step after understanding wallets/exchanges is concept and ideation because everything else (PinkSale, liquidity, DEX launch, post-launch marketing) depends on whether your idea is clear and believable.

So in this lesson, I’m going to show you my exact workflow to create a clean, beginner-friendly token concept using AI and I’ll keep it realistic. No “guaranteed profit,” no “1000x promises,” no nonsense 😁.
By the end of this lesson, you’ll have a written token concept that fits the course’s real launch pipeline:
Choose chain → Create token → PinkSale (fairlaunch or presale) → Liquidity pool (auto) → DEX trading → marketing

1) First, here’s the truth: AI doesn’t create good tokens; it creates clarity

A lot of people try to use AI like a slot machine:
“Give me a token idea that will moon.”
That’s not how I would like to use it.
I would use AI as a co-founder for:
Brainstorming ideas fast
Stress-testing logic
Rewriting hype into clear statements
Building tokenomics that match the narrative
Generating launch-ready text (PinkSale description, roadmap, FAQs)
AI can give you 5 to 10 ideas, but it is up to you to get the best results when you feed it your research and the “blank spaces” you’ve noticed.
2) The “Token Idea Blueprint” I always build (7 steps)
When I design a token concept, I always fill out these 7 steps and I use AI to help me write each one cleanly:
Chain & ecosystem (BNB Chain vs Ethereum vs Base)
Audience (who is this for?)
Narrative (what story makes people care?)
Utility (what does the token do, if anything?)
Tokenomics (supply, distribution, taxes, liquidity %, lock)
Launch path (PinkSale fairlaunch/presale → DEX)
Marketing system (pre-launch → during PinkSale → post-launch)

I’ll walk through each one with examples and the exact AI tools I would use.
3) Step 1: Choose the chain (and don’t overcomplicate it)
Let’s keep it practical: Solana (SOL), BNB Chain (BSC) and Ethereum $ETH ( ▲ 0.06% ) are the core chains, with Base as an optional modern alternative for newer ecosystems.
How I decide quickly (beginner logic)
BNB $BNB ( ▼ 0.48% ) Chain (BSC) is great when:
You want low fees for beginners
You want easy DEX trading on PancakeSwap
You’re aiming at meme/community tokens and fast cycles
Ethereum $ETH ( ▲ 0.06% ) is great when:
You want “premium credibility,” stronger DeFi culture
You expect higher fees but deeper “serious” liquidity on Uniswap
Your narrative fits Ethereum’s audience (DeFi, infrastructure, serious utility)
Base is great when:
You want cheaper fees than Ethereum while staying in the Ethereum universe
You’re leaning into newer communities and fast-growing apps
Solana is for you when:
You want the cheapest price
Extremely fast transaction speed
The best choice if you are aiming to build a meme token project

Source: Zfort Group
Ultimately, It’s all up to you pal! If you want low fees, fast launches, and meme-style projects, Solana or BNB Chain are strong choices. If your project is more serious, focused on DeFi, or needs stronger credibility, Ethereum fits better. If you want to stay in the Ethereum ecosystem but with lower fees and a newer crowd, Base is a good middle ground.
AI tool for Step 1 (fast decision)
ChatGPT / Claude / Gemini Pro
Prompt I use:
“My token is aimed at [beginners / DeFi users / Africa market / global traders]. I want low fees and easy DEX trading. Compare BNB Chain vs Ethereum vs Base for this idea in plain English and recommend one.”

4) Step 2: Define your audience
I keep it simple and pick one primary audience:
Examples:
“Beginner learners who want simple meme fun”
“DeFi users who already use Uniswap / Aave”
“Africa-focused traders who mostly use Binance and BNB Chain”
“Gaming community that likes collectibles and points”
Examples using familiar coins and tokens:
If my audience is beginners, I assume they already recognize:
BTC $BTC ( ▲ 0.02% ) , ETH, USDT $USDT ( ▼ 0.01% )
And they might have heard of:SHIB $SHIB ( ▲ 2.39% ) , PEPE
So my messaging references those “known anchors” to feel familiar.
AI tool for Step 2
Perplexity (web-backed reality check) + ChatGPT (clarity)
I chose Perplexity because it’s best for web-backed research:
It pulls current info (trends, competitors, news) instead of guessing.
It usually shows sources, so you can verify claims quickly.
Prompt:
“What type of crypto users usually buy meme tokens on BNB Chain vs Ethereum? Summarize the differences in behavior and expectations.”

5) Step 3: Choose a narrative
Narrative is the story that makes an investor care.
In this course, meme tokens and trend narratives are clearly part of the strategy (“it can be a meme coin… it can be anything”).
The 3 beginner-friendly narrative types I use
A) Meme narrative (community + attention)
Example tokens: SHIB-style, PEPE-style
Works best when you’re honest: “This is a community meme token.”

B) Utility narrative (token has a job)
Example tokens: UNI (governance), CAKE (platform utility, rewards)
Works best when you can explain the job in one sentence.

C) Trend narrative (rides what people already talk about)
Example: AI narrative, election narrative, sports narrative
Works best when you avoid fake claims and keep the utility small but real.

AI tool for Step 3
ChatGPT / Claude
Prompt:
“Give me 10 token narrative ideas that are beginner-friendly and honest. No promises of profit. For each: name, ticker, 1-line story, target audience, and why people would share it.”

6) Step 4: Utility (optional)
Beginner-safe utility examples:
Access utility: holding token unlocks a “members-only” area (content, alpha calls, tools)
Rewards utility: staking rewards (simple, transparent, no wild numbers)
Payment utility: token used inside your product as “credits”
Governance utility: holders vote on simple decisions
Examples with known tokens
ETH = pays gas (real utility)
BNB = pays gas (real utility)
UNI = governance utility (simple story)
CAKE = platform/reward utility (simple story)

AI tool recommended for Step 4
Claude (best for turning messy utility into a clean “one liner”)
By using this prompt:
“Here’s my utility idea: [paste]. Rewrite it into one simple sentence, then list 3 ways this could be misunderstood (and how to clarify it).”
7) Step 5: Tokenomics that match the narrative
This course repeatedly connects tokenomics to how PinkSale listings look and how liquidity + lock builds confidence. This is where trust is built.
So I would keep tokenomics simple and defensible.
The tokenomics checklist I use (beginner model)
1) Total supply
Pick a clean number (example: 1,000,000,000 = 1 billion)
Easy to understand
Easy to market
Easy to calculate allocations
2) Distribution buckets (simple)
Example for a beginner-friendly project:
50% fairlaunch/presale buyers
40% liquidity + reserves
10% team/marketing (ideally vesting/locked)

3) Taxes (optional)
If you use taxes, keep them small and explain them clearly.
Previously in the course, I have explained that taxes are often split into marketing/liquidity/dev, with the warning that very high fees might destroy trust.
4) Liquidity % and lock time
This is one of the biggest trust signals on PinkSale. If I’m trying to look serious, I would lean toward:
6–12 months liquidity lock (or more)
A liquidity % that feels investor-safe

5) Buyback (optional, advanced)
And again, buyback can be a tool to reduce post-launch freefall by using a portion of raised funds to buy tokens back over time.
I treat this as optional and only use it if I can explain it clearly.
AI tools for Step 5 (This step can help you save hours)
Tool: ChatGPT
Prompt:
“Design 2 tokenomics models for a beginner-friendly meme token on BNB Chain:
Model A: 0% tax. Model B: 3% total tax split into marketing/liquidity/dev.
Include total supply, distribution, PinkSale-style liquidity %, and a 12 month lock. Keep it simple and explain tradeoffs.
Tool: CoinGecko MCP (Paid but powerful)

If you want AI that can pull live market data instead of guessing, CoinGecko now offers an MCP bridge so AI tools can query real-time crypto data in natural language.
What I use it for:
Checking current top narratives and sector leaders
Comparing market caps/volumes of similar tokens
Building “reality-based” competitor benchmarks
Example prompt (with MCP enabled):
“Show me the top 10 meme tokens on BNB Chain by market cap and their 24h volume. Summarize what makes the top 3 stand out”
CoinGecko’s own guide explains how MCP lets LLMs access real-time data through natural language prompts.
8) Step 6: Launch path (PinkSale → liquidity → DEX)
Create token on BNB Chain or Ethereum
Create fairlaunch or presale on PinkSale
Raised funds split: part to developer wallet, part to liquidity pool
Finalize listing, enable trading, token goes live on PancakeSwap (BSC)
Fairlaunch vs presale (simple framing)

Fairlaunch: feels open, simple, newbie-friendly
Presale: more structured caps and pricing, more planning
In my written concept, I always include:
Launch type (fairlaunch/presale)
Liquidity % and lock duration
When trading will be enabled
What DEX pair will be created (TOKEN/BNB or TOKEN/ETH)
AI tool for step 6
Claude (turns it into professional, non-scammy launch wording)
Prompt:
“Write a clear launch plan section for my token concept that matches this pipeline: token created → PinkSale fairlaunch → liquidity auto-created and locked → trading enabled on PancakeSwap. Keep it transparent and avoid hype.”

9) Step 7: Marketing system
Once you finalize and enable trading, you need post-launch marketing, and it specifically mentions: CMC/CG listings, influencers, trending spots, etc…
I would build marketing in 3 phases:
Phase 1: Pre-launch
Explain the concept clearly
Show tokenomics simply
Publish roadmap + FAQs
Build community channels (X, Telegram, Discord)
Phase 2: During PinkSale
Daily updates (short, factual)
AMAs / live sessions
Reminders about start/end time and fairness
Phase 3: Post-launch
Apply for CoinMarketCap + CoinGecko (the “source of truth” platforms)
Push consistent updates, not fake hype
Focus on liquidity stability and community confidence
However, I would still recommend hiring an agency for your marketing plan. It can be costly, but it is often necessary for the best outcome.

10) Full example token concepts - AI generated
Below are two complete examples. These are not “recommendations”. They’re templates showing what a clean, non-scammy concept looks like.
Example 1: Beginner Meme Token (BNB Chain)
Name/Ticker: SafariMeme (SAFARI)
Chain: BNB Chain (low fees for beginners)
Audience: beginners + meme lovers
Narrative: “A fun community meme token with a safari theme - no fake promises.”
Utility: optional simple staking later (not promised day one)
Tokenomics (simple):
Total supply: 1B
Taxes: 0% (clean and easy)
PinkSale: fairlaunch
Liquidity: 60% to TOKEN/BNB pool
Liquidity lock: 12 months
Launch path: PinkSale → finalize → trading enabled on PancakeSwap at announced time (fairness).
Marketing: 3-phase system (pre-launch storytelling, PinkSale updates, post-launch CMC/CG applications).

Example 2: Utility Token (Ethereum/Base)
Name/Ticker: LearnFi (LEARN)
Narrative: token used as “credits” inside an education/community product
Utility: credits + access (simple job)
Tokenomics:
Total supply: 100M (smaller supply fits a “utility” vibe)
Small treasury for development (locked/vested wording)
Liquidity lock: 12 months
Launch: presale or fairlaunch depending on community strength
Marketing: clear demo + onboarding content (no profit claims)

Final takeaway 🗝️
Lesson 8 is where you would stop being “just a trader” and start thinking like a builder.
A strong token concept is:
Clear about chain + audience
Honest about narrative
Realistic about utility
Simple and defensible in tokenomics
Aligned with the real pipeline (PinkSale → liquidity → DEX → marketing)
And the AI twist is the whole point: I use AI to generate options fast, reduce confusion, and force transparency - then I verify with real sources and real on-chain signals.
A gift for you: CustomGPT
CustomGPT trained with every lesson from this course, hope you enjoy using it! ❤️🔥
If you enjoy this lesson, please let me know and check out these amazing news, contents, experiences and tutorials related to AI and Crypto from our team down below🔥✌️👇️:
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