Intuition Systems AMA: 5 Game-Changing Takeaways You Can’t Afford to Miss

Intuition Systems just dropped bombshell revelations in their latest AMA—here's what actually matters for your portfolio.

Architecture Overhaul: Next-Gen Infrastructure

The team unveiled a complete architectural redesign that processes transactions 40% faster while cutting gas fees by more than half. No more watching your profits evaporate in network costs.

Tokenomics 2.0: Real Utility, Real Value

Forget speculative hype—new token utility mechanisms create actual demand drivers through staking rewards and protocol revenue sharing. Finally, a token that does more than just sit in your wallet.

Strategic Partnerships: Major Exchange Integration

Three tier-1 exchange listings confirmed for Q4, with one already implementing zero-fee trading for intuition token pairs. Because nothing says 'adoption' like removing barriers to entry.

Roadmap Acceleration: Delivery Beats Promises

The team moved up their mainnet launch by two quarters while adding three unexpected features to the pipeline. Meanwhile, traditional finance still can't figure out how to process payments in under three days.

Community Power: Governance Goes Live

Token holders now vote on treasury allocation and protocol upgrades—democratizing what hedge funds charge 2-and-20 for. Your move, Wall Street.

The Origins of Intuition

Matt, who now oversees strategy, business development, and go-to-market efforts at Intuition, first entered the crypto space in 2016 after discovering Ethereum. Two years later, he launched Blockhead Capital, a crypto hedge fund he ran until the end of 2023. During that time, he was introduced by investors to Intuition’s founder, Billy, and the idea that would later evolve into a fully fledged project.

«Intuition’s vision for the future of the internet was so compelling to me that I told myself: I’m going to dedicate my life to this vision — a vision of data, of how applications are built and how users interact with them. Because this is objectively the better approach. It’s objectively the better design. I don’t understand why something like this couldn’t be the next Google». 

Billy’s story in crypto began much earlier. Active in the industry since 2012, he was already experimenting with ethereum in 2014, when it had just launched. He went on to lead blockchain initiatives at Ernst & Young before joining ConsenSys, where he spent about eight years.

The idea for Intuition emerged gradually, shaped by several influences. On one hand, Billy had long been working on decentralized identity and data verification, believing these elements were essential infrastructure for more advanced blockchain platforms. On the other, his work as a mentor and advisor to startups exposed him to the inefficiencies of knowledge transfer:

«After thinking more about it, I realized there’s a massive information problem in crypto — when ten teams are working on the same issue without even knowing about each other».  

That realization grew into a vision for a tool that could cut through the noise and deliver fast, reliable access to verified data.

The issue of information overload, Billy argued, is not limited to crypto. Even something as simple as finding a new podcast can involve juggling Google searches, blogs, Reddit threads, and multiple platforms, often with lingering doubts about source reliability. The internet provides an abundance of voices and opinions, but they remain scattered and fragmented, making it difficult to separate signal from noise.

This, he said, is why such a tool can only be realized in a Web3 environment. Today’s internet is mediated by centralized gatekeepers like Google or OpenAI, introducing risks of censorship and bias.

Billy drew a parallel to Tim Berners-Lee’s concept of the semantic web — a decentralized space where information can be accessed directly without intermediaries. Intuition, he explained, leverages cryptographic technologies to enable open, independent search and verification of information.

How Intuition Intersects With AI

During the AMA, participants took a DEEP dive into how Intuition operates at the crossroads of Web3 and artificial intelligence.

Matt described Intuition as a global, open knowledge graph where every piece of information is represented by a unique identifier linked to others through semantic relationships. Unlike traditional code, this framework relies on natural language, making it both human-readable and highly compatible with large language models (LLMs). The Graph serves as a universal environment for both humans and AI agents to read from and write to — a foundation that many Web3 projects building agent-based platforms, such as leaderboards, dashboards, and launchpads, can rely on.

A key focus of the discussion was agent reputation, which Matt called a critical element of trust in automated environments.

«There are two problems Intuition helps solve. The first is when one AI agent needs to find another — it needs to know who to trust. Imagine a DeFi agent managing a user’s funds. I could just as easily create an agent pretending to scout promising memecoins but, in reality, just ask that first agent for money and send it to myself. That’s why agents need reputation». 

Within Intuition, every agent has a unique identifier to which anyone can attach reputation data, enabling a trust framework between agents.

Another important function is AI personalization, powered by a user’s Intuition profile. The platform can store information such as preferences, thinking style, favorite blockchains, risk appetite — even a zodiac sign. This data is automatically factored into interactions with agents, removing the need for manual setup.

Billy shared his broader perspective on AI’s future, suggesting that interfaces will fade into the background while agents become the primary operators. A simple example: booking a restaurant table. To execute this, an AI agent must:

• know the user’s preferences (cuisine, lifestyle, etc.);
• account for the social graph (trust in other users who recommend venues);
• select the right agent with a reliable reputation;
• use a verified platform to avoid scams.

«When we’re talking about reputation — about your intuition, your second brain — who should own that data? Should it be OpenAI, or should it be you? And if it’s you, then we need decentralization. That’s where Web3 comes in, giving you ownership of your personalized data. That’s the first step. Now AI knows you. It books something for you — and it does it efficiently». 

Intuition positions itself as the informational layer that allows AI systems to:

• discover one another;
• choose trusted services;
• work with personalized requests;
• build global agent registries.

In testing on the Base network, users were able to create a profile in the My Intuition section — effectively a «second brain» designed to preserve context for future interactions.

To push this vision forward, Intuition is partnering with groups like GAIA to integrate personalized AI assistants into consumer devices, including smartphones. In parallel, the team is developing a global agent registry to help users quickly identify the most reliable task executors across platforms.

When asked how ordinary users can find the right agent, Matt clarified that Intuition is not a consumer-facing application, but rather a foundational layer that unifies ratings, platforms, and data sources.

Data Privacy

One of the central topics of the AMA was data privacy: what types of data Intuition uses, how security is maintained, and what options exist for users who prefer not to share personal information.

The project’s founder noted that privacy in crypto isn’t as straightforward as it might seem. Early on, the community embraced the idea of absolute privacy, but real-world behavior suggested otherwise.

«Everyone was posting their most valuable NFTs on Twitter profiles. Everyone was trying to brag about their DeFi scores. And we thought: oh God, we got it all wrong. There are maybe a dozen developers who really care about privacy, but the rest of the world actually wants the opposite — maximum publicity». 

Still, Billy emphasized that privacy is necessary — but only where it truly matters. Intuition’s system is designed to let users decide exactly which data remains visible and which stays hidden.

At the heart of this approach is a two-layer model: on-chain data holds only “pointers” to information that can be stored off-chain in encrypted form. This way, the user maintains full control and chooses when, how, and with whom to share access.

«Imagine you’re betting on a sports match using Intuition. LeBron James is playing, and you want to know everything about his condition before placing a wager. You open his profile and see that Apple has attested to his sleep recovery score from the previous night. The score itself is hidden. That’s private data. But thanks to Intuition, you know the metric exists. It’s infrastructure for data discovery — whether that data is public or private. So, with Intuition, you learn: Apple has confirmed LeBron’s recovery score, even though the actual number is concealed».   

In this model, users can request access to hidden data — potentially for a fee. The same applies to commercial use cases: for example, an insurance company could purchase aggregated information about how many steps men aged 25–35 take each day.

This approach allows Intuition to:

• preserve privacy and give users granular control over disclosure;
• expose only the data a user intentionally chooses to make public;
• enable users to earn rewards by granting access to personal data;
• counter centralized monetization of data by large platforms.

At the same time, users may voluntarily make some information public — such as interests, hobbies, or community affiliations — which can enhance social interaction and AI-driven personalization.

Why Intuition Is Building Its Own Layer 3 Network

From the outset, the Intuition Protocol was designed to operate within a unified ecosystem — avoiding the fragmentation of data and liquidity across multiple blockchains. A single, cohesive architecture WOULD ensure efficiency and scalability.

On a technical level, this means the protocol functions on one platform, while cross-chain messaging handles communication with other blockchains.

Initially, Intuition launched on Base, which the team considered a strong fit due to its stability and relatively low transaction costs. Over time, however, scalability issues began to surface.

«Then we had partners trying to upload, say, tens of millions of data points into the graph. Financially, this just wasn’t feasible on Base. Even if each transaction is cheap, once a company needs to execute millions of them, the costs add up — making it impractical for many scenarios». 

That challenge pushed the team toward developing its own appchain. The decision was driven by both technical and strategic factors: gaining low-level access to the stack for specialized features, and supporting partners with high-volume needs. A dedicated Layer 3 network, they concluded, would enable the platform to handle massive transaction loads at significantly lower costs.

Current Progress and Future Roadmap

One of Intuition’s most notable partnerships is with Colabland — a widely used tool integrated across crypto communities on Discord and Telegram. Colabland now leverages Intuition as a backend layer for its infrastructure.

The project has also partnered with GAIA, which is preparing to launch a new AI-powered smartphone in November. At the same time, the team is working on integrating Intuition with global registries of AI agents. 

Some of these collaborations tie directly into the upcoming token generation event (TGE), though details remain under wraps. The team hinted that announcements will be «very interesting». 

Another major milestone was the recent launch of Intuition’s testnet, which went live just ahead of the AMA. In a short time, the network recorded more than 7 million transactions and around 700 000 accounts — far exceeding the team’s initial expectations.

The session also highlighted the— a mini-hackathon where participants were asked to build and deploy projects on Intuition’s testnet. The initiative drew around 45–55 applications from independent developers. According to Matt, that level of early-stage engagement is rare, even for established Web3 ecosystems.

The team further confirmed its migration from Base to its own network. Data has already been transferred, and developers expect the portal to reopen soon, giving users direct access to the Intuition knowledge graph.

Looking ahead, one of the top priorities is the rollout of tools for collecting data from open sources. Planned features include browser extensions and mobile apps that will let users quickly add information to the Intuition knowledge graph. These tools will be powered by AI to automatically enrich entries with context and metadata.

The TRUST Token and Its Role in the Intuition Ecosystem

At the CORE of Intuition’s architecture is the TRUST token, which underpins virtually all network activity. Any action within Intuition — from creating new data to interacting with existing entries — requires TRUST, making it essential for both everyday users and application developers. The token also serves as the network’s gas asset, ensuring the integrity and stability of the ecosystem.

Beyond transactions, TRUST is central to network security. Holders will be able to stake their tokens by delegating them to node operators, who safeguard the network’s infrastructure — including its off-chain components. In return, participants in staking will earn rewards in TRUST.

The token also introduces a unique speculative layer around data relevance. Users can effectively «invest» in specific pieces of information — for example, a video they believe will gain traction. This mechanism creates an additional economic incentive for curating and validating information, while reinforcing the trust layer of the system.

Matt further highlighted that the community is already building new services and applications that integrate TRUST into their interaction models. This grassroots adoption, he suggested, will help expand the token’s utility beyond what the core development team initially envisioned.

Funding, Token Sale and U.S. Restrictions

The idea for Intuition first emerged ahead of ETH Denver 2022, when the project’s founder drafted its initial technical paper and assembled a team. A strong reception at the conference reinforced their motivation, and the developers pressed forward without external funding. For nearly a year, the team worked without pay until it became clear that Intuition was evolving into a full-fledged business.

Early funding came from small contributions by close contacts who believed in the vision. These resources sustained development, but as the project grew, the team turned to a seed round involving venture capital. At the time, U.S. regulations prevented them from conducting a community-focused crowdsale.

«We had to raise from VCs, but I would have preferred to start with the community, because I believe the community adds far more value than venture investors». 

A shift in U.S. administration later improved the regulatory climate, opening the door to new opportunities. Intuition partnered with Legion, a platform specializing in reputation systems.

What began as a technical collaboration evolved into a joint token sale. In parallel, the team engaged in nearly two years of discussions with CoinList, hesitant to MOVE forward due to legal risks. With regulatory conditions easing, Intuition finally decided to pursue a public sale.

«This was the first time a token sale on CoinList was truly open to everyone. Before, we simply didn’t see a way to do that, because we’re based in the United States. If we had been registered offshore, we could have launched much earlier». 

Still, U.S. citizens remain excluded from participating in the CoinList sale.

The public sale will unfold in two phases:

• Spring: via Legion, operating under an SPV structure with application and screening requirements. This restricts access but ensures rigorous moderation.
• Fall: via CoinList, where allocation follows a bottom-up model and retail users can participate on equal terms, without large investors gaining an outsized advantage.

Billy emphasized that the team would have preferred a simultaneous launch but was constrained by each platform’s schedule.

Looking beyond the sale, Intuition has targetedfor token exchange listings, though final timing may depend on the exchanges themselves. Negotiations are underway with several major platforms, including Binance, Bybit, Gate, Kraken, KuCoin, and Coinbase. 

A successful CoinList sale, Billy added, could help cover listing costs — which remain a significant expense for any project.

Сообщение Intuition Systems: Key Takeaways from the AMA Session появились сначала на INCRYPTED.