Marius

[Type AI @TypeAI2]

Liquidity that backs the numbers.
Type AI holds a liquidity to market cap ratio of roughly 40%, which is one of the best in the market right now.

What does that mean?
- A higher ratio means deeper pools relative to the token’s size. In practice:
- Easier to buy and sell larger amounts
- Less slippage on each trade
- Harder for a single big trade to move the price

Don’t take our word for it. Put Type AI next to the projects you follow and compare the liquidity to market cap ratio yourself. The data is public.

[Type AI @TypeAI2]

Tired of juggling countless Dapps for your blockchain needs?

Meet Type AI, the world's first all in one AI bot that simplifies blockchain interaction with voice & text commands.
#AI #Defi $Type

[whale 🐋 @ShibaA1doge]

@TypeAI2 @ChillTRD 🫡🫡🫡

[sunnydays @o41276]

@TypeAI2 @ChillTRD Lets goooo

[Type AI @TypeAI2]

@ChillTRD We agree that's why we are building an Infra that allows anybody to deploy on any Launchpad using Type AI's MCP on the AI of their liking.

Now making launchpads more accessible to the public.

[Type AI @TypeAI2]

🚀 TypeAI is now live inside Claude via MCP!

[Marius @Ionutian0789]

@TypeAI2 let’s go #typeai

[Marius @Ionutian0789]

@TypeAI2 @Man17219439 let’s go #type 🚀🚀🚀

[Type AI @TypeAI2]

Most AI products plateau after launch.

We’re just getting started.

Opus 4.7 is already live.

✔ faster responses
✔ better intent understanding
✔ cleaner execution across flows

Type AI’s inbuilt architecture leverages the latest AI models to deliver the best possible results.

~43% estimated efficiency improvement based on our internal calculations.

This upgrade directly improves how Type AI thinks and executes.

@AnthropicAI

[Marius @Ionutian0789]

@TypeAI2 let’s go type🚀🚀🚀

[Type AI @TypeAI2]

We’ve been building quietly, now it’s time to ship

Our last update was received incredibly well, and we’ve been building on that momentum behind the scenes. The focus has been on upgrading the core intelligence of the agent using large volumes of real user interactions, manually reviewed edge cases, and conversations where performance fell short.

What’s shipping next 👇

🧠 Stronger goal-driven AI
Understands outcomes like “reduce risk”, “secure profits”, or “find yield” instead of just executing isolated commands. Context retention and intent parsing are significantly improved.

🔗 Advanced DeFi execution
Multi-step actions across swaps, lending, staking, and liquidity handled in one coordinated flow rather than separate transactions.

📊 Polymarket support
Natural language entry, position management, exposure tracking across outcomes, and AI-assisted decision support for prediction markets.

⚡ Pre-execution planning
Simulates routes before acting to select safer, cheaper, higher-probability execution paths across chains and protocols.

🛡️ Confidence-aware responses
When uncertainty is high, the agent now asks precise follow-ups or presents options instead of making risky assumptions.

📚 Continuous learning loop
Flagged conversations and weak outcomes are reviewed and converted into training signals, allowing the system to improve from real usage over time.

These upgrades push Type AI closer to a true autonomous financial co-pilot that can understand, plan, and execute reliably not just respond.

Rolling out in phases over the coming weeks 🚀

[Marius @Ionutian0789]

@TypeAI2 @TypeAI2 let’s fly🚀

[Type AI @TypeAI2]

Bridge 100 USDC from Ethereum to Polygon with Type AI.

Just one command.

✅ Auto detects chains
✅ Estimates fees upfront
✅ Tracks transaction status in real time
✅ Executes seamlessly

From Ethereum, Solana, BSC, Arbitrum, Optimism, or Polygon, Type AI handles it all.

[Marius @Ionutian0789]

@TypeAI2 let’s go @Type AI 🚀🚀🚀🚀

[Type AI @TypeAI2]

The Type AI agent now has a much deeper understanding of user intent, context, and follow-up behavior. We’ve fed it significantly more structured data from real conversations, including past responses, corrections, and moments where execution didn’t meet expectations.

Every weak interaction was manually flagged, reviewed, and converted into learning signals.

This has resulted in:
* Stronger intent parsing across complex, multi-step requests
* Better memory of conversational context without repeating questions
* More accurate chain, token, and action inference
* Fewer hallucinations and safer default assumptions

What’s quietly improved under the hood 👀
🧠 Adaptive intent ranking based on historical user behavior
🧩 Self-correction loops when confidence is low
📊 Response scoring tied to execution success, not just accuracy
🛡️ Safer decision boundaries for high-risk actions
⏱️ Faster reasoning on chained intents and cross-chain tasks

The bot doesn’t just answer better. It understands better. And it keeps improving with every interaction.

[Marius @Ionutian0789]

@o41276 @ZssBecker @elliotrades @TypeAI2 🚀🚀🚀

[sunnydays @o41276]

@ZssBecker @elliotrades Just holding $type and quality working projects that have survived the bear will see epic runs imo @TypeAI2

[Marius @Ionutian0789]

@2xnmore @BillyMexico @TypeAI2 @TypeAI2 is the top Ai🚀

[2xnmore @2xnmore]

@BillyMexico @TypeAI2 These might be promising.

[Marius @Ionutian0789]

@BillyMexico @CryptoBoss1984 @TypeAI2 @TypeAI2 🚀🚀🚀