In Practice

The introduction of Intuition's core primitives lays a robust foundation for constructing a system that fosters a trustful interaction layer for the decentralized web. These seemingly basic primitives enable a wide range of powerful functionalities, transforming how we manage identities, data, and trust online.

To illustrate this, consider the experience of buying a product on Amazon. With Intuition's primitives, this process can be reimagined in a decentralized, trustless manner:

Atoms and Triples

Every user, product, review, and transaction can be represented as discrete objects (Atoms) and linked through relationships (Triples). For instance, a Triple could link a product (Atom) to a review (Atom) through a relationship like "hasReview."

Example: Product Review System

Product Atom

did:ethr:mainnet:0x...product123

Review Atom

did:ethr:mainnet:0x...review456

Triple Relationship

[Product] [hasReview] [Review]

Signal

Each review can be evaluated for credibility using the Signal primitive. Reviews and Signals from verified purchasers or highly reputable users can carry more weight, helping users discern trustworthy feedback from potentially fraudulent reviews.

Credibility Evaluation

Verified Purchaser

Higher signal weight due to confirmed purchase

Reputable User

Enhanced credibility based on historical accuracy

Fraud Detection

Automatic flagging of suspicious review patterns

Fees, Economics, and Incentives

Users are encouraged to express themselves, and reviewers are incentivized to provide honest and detailed feedback. Users earn money for their valuable data contributions, and their reputation becomes cross-contextual, increasing its significance beyond a single platform.

Cross-Contextual Reputation

For example, a user's status as a trusted reviewer on Amazon could serve as a valuable reputation data point in other contexts, such as securing better loan-to-value ratios in decentralized finance (DeFi) or enhancing the ability to obtain a loan.

DeFi Integration

Better loan-to-value ratios based on reputation

Portable Trust

Reputation follows users across platforms

Economic Rewards

Earn tokens for valuable contributions

Additionally, users might be more inclined to attest to useful information about products on Amazon because their claims can be easily seen by the people they care about, thanks to portable social and trust graphs. Unlike the current Amazon platform, which lacks a friends list, Intuition allows users to take their singular social graph or a set of trust graphs with them anywhere they go.

Trust Graph Benefits

Portable Connections

Take your social graph anywhere you go

Weighted Reviews

Trusted individual reviews > anonymous reviews

Prioritized Insights

Valuable insights from trusted sources prioritized

Interpretations

The listing of a product on a marketplace such as Amazon can be represented as a literal interpretation. For instance, adding a product to a marketplace can be as straightforward as creating a Triple like [Product][listedOn] [Amazon].

Stakeholder Interpretations

Expanding on this concept, various stakeholders can publish their interpretations of product reviews:

Company Aggregation

Aggregate all reviews and provide summary scores

Consumer Protection

Highlight reviews mentioning safety concerns

Independent Analysis

Third-party verification and validation

Algorithms

Users can choose from various algorithms to filter and sort reviews based on their preferences. For instance, an algorithm can prioritize reviews from users with similar purchase histories or highlight reviews that mention specific product features.

Customizable Filtering

Similar Purchase History

Prioritize reviews from users with similar tastes

Feature-Specific

Highlight reviews mentioning specific features

Trust-Based

Weight reviews based on user trust networks

Reality Tunnel

Users can compose together interpretations and algorithms to create curated 'views' of data, allowing them to find the voices they trust among thousands of anonymous voices.

Curated Perspectives

Composable Views

Combine interpretations and algorithms

Trusted Voices

Find reliable sources among anonymous reviews

Personalized Experience

Tailored data presentation based on preferences

Portable Identity and Data

Identities and data become universal, and can be referenced and integrated anywhere across the web. Users can see a product's aggregated reviews across Amazon, Facebook Marketplace, Craigslist, or eBay, provided the same canonical identifier for the products is used in each context.

Universal Data Access

Cross-Platform Aggregation

See reviews from Amazon, Facebook, Craigslist, eBay

Data Continuity

Data persists even if platforms shut down

User Control

Maintain control over your digital interactions

The Decentralized Trust Layer

By integrating these primitives into contexts and interactions that cannot yet be fully 'trustless,' Intuition establishes a decentralized trust layer. This layer allows users to interact with confidence, knowing that the information they rely on is transparent, verifiable, and free from centralized manipulation.

Key Benefits

Transparent Information

All data is open and verifiable

Decentralized Control

No single entity controls the data

User-Centric

Users maintain control over their data

For instance, when buying a product, users can access a wealth of credible reviews, filtered and presented according to their preferences, all while maintaining control over their data and identities. By leveraging these tools, we can build a more trustworthy and user-centric digital ecosystem, addressing many of the inherent flaws in the current Web2 trust stack and paving the way for a more decentralized and equitable internet.

Next Steps

Now that you understand how Intuition primitives work together in practice, explore the Structuring section to learn advanced techniques for working with Atoms and Triples in real-world applications.

Atoms and Triples​