> For the complete documentation index, see [llms.txt](https://foru-ai.gitbook.io/foru-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://foru-ai.gitbook.io/foru-ai/pillar-2-ai-intelligence-the-signal-engine-of-the-network/the-sacred-timeline-a-verifiable-record-of-your-value.md). # The Sacred Timeline: A Verifiable Record of Your Value The Sacred Timeline represents the **temporal engine of the reputation system**. Traditional identity systems rely on static credentials or periodic snapshots. However, reputation is inherently temporal. It emerges from **consistent behavior over time**. The Sacred Timeline records chronological behavioral signals associated with a participant's identity. It is the foundation upon which your IdentiFi Score is calculated and the living proof of your economic journey.
**Social Timeline (Dynamic)** Captures: * Engagement velocity * Reach expansion or contraction * Community influence * Participation * User-quantified reputation represented by the IdentiFi Score This dimension measures influence on behavior over time. *** **Financial Timeline (Dynamic)** Captures: * (On-chain) Asset values over time / trajectory * Wallet behavior patterns * Income consistency * On-chain participation * Risk exposure This dimension measures the user's economic credibility/reputation, their assets and income over time, and risk resilience. *** **Skills Timeline (Cumulative)** Captures: * Educational background * Professional certifications * Verified expertise * Badge-based achievements Characteristics: * Compounding * Stable This dimension measures capability capital and reputation.
*** **Rep-Points Timeline (Dynamic)** The Rep-Points Timeline is the **platform-native performance curve** that tracks a user's accumulated points earned through: * Rep Leaderboard performance * Quest completions * Campaign participation * Referral success * Platform-native contributions Rep-Points is the internal performance velocity indicator of the ForU AI ecosystem. It measures how active and effective a user is inside the ForU AI economy.
*** **History Timeline (Cumulative)** The History Timeline records identity continuity. It tracks: * AI-DID creation date * Wallet linkage history (when added/removed) * Social account linkage history * KYC completion date * KYC refresh date * Background Investigation (BI) check results (if applicable) The History Timeline also logs trust anchor moments, such as: * First badge minted * 100th badge milestone * First leaderboard entry * Top 10% entry * Verified professional certificate * Community ambassador status Indirectly, it also monitors someone's stability and Sybil risk—for example, if someone: * Frequently rotates wallets * Frequently changes linked accounts * Frequently disconnects identity That becomes a risk signal. In a nutshell, History = identity persistence.
*** **ForU AI Timeline (Platform Milestones)** The **ForU AI Timeline** is the official chronological record of **platform evolution** and major ecosystem milestones. It provides transparency and context on how ForU AI itself progresses, and becomes a reference layer for interpreting changes in scoring behavior, feature availability, and user opportunity access. ForU AI Timeline events include: **Product releases** * ForU AI MVP go-live * New application modules released (Quest, Campaign, Referral, Badge Studio, etc.) **Scoring milestones** * IdentiFi Score v1 → v2 → v3 launch * Changes to scoring weights or risk model versions * Introduction of Dynamic vs. Snapshot scoring **Ecosystem features** * Rep Leaderboard launch * Rep Board / B2B access launch * Gateway API launch **Partner & program milestones** * Partner badge program launches * Seasonal compendium events * Offline/online events (e.g., ForU AI Fan Awards) The ForU AI Timeline provides context for *system-level changes* that can affect: * User behavior incentives * Data availability * Badge mechanics * Leaderboard dynamics * Reputation score distribution shifts This prevents misinterpretation like: "Why did everyone's scores jump?" Answer: a scoring model version upgrade or new signals added.
*** **World Events Timeline (External Context Layer)** The **World Events Timeline** is the external context layer: important real-world events that can materially impact a user's behavior, assets, or reputation trajectory. The timeline has an "intelligent" factor where it tracks and presents only events and news that matter most to a user. It tailors its timeline according to a user's behavior, assets, and reputation trajectory. For example, for someone who holds a large amount of Bitcoin and stablecoins/gold in their wallet, the World Events can include: **Asset market regime shifts** * Bitcoin crash / Bitcoin bull cycle * Gold hike / Gold crash * Major equities drawdowns * FX shocks (USD/IDR spikes) **Macro and geopolitical events** * Wars/conflicts impacting commodities and risk assets * Inflation shocks / interest-rate cycles * Major sanctions, supply-chain disruptions **Regulatory events** * Crypto bans / approvals * ETF approvals * Major enforcement or regulatory announcements * Central bank policy pivots **Sector events** * Exchange collapses / hacks * Stablecoin depegs * Protocol failures * Major chain outages World events are shown **selectively**, based on relevance to the user's profile. Example: If a user holds mostly Bitcoin or engages with content about Bitcoin and Gold, then their timeline shows: * Bitcoin crash events * Bull market phases * Gold rallies/drawdowns * War or inflation events that explain the correlation changes * Policy changes impacting liquidity and risk appetite By tracking these signals over time, the system creates a **behavioral trajectory** rather than isolated data points. This allows reputation to reflect long-term credibility rather than short-term activity spikes. ***