Timepoint AI
Timepoint is the infrastructure layer for temporal reasoning. We render the past to understand it. We render the future to choose it.What is Timepoint?
Timepoint is an open-source ecosystem of six integrated services that work together to build a persistent, growing model of historical and future causality:Flash
The Reality Writer — type any moment in history, get a grounded scene with characters, dialog, and a photorealistic image via a 14-agent critique-loop pipeline.
Pro
The SNAG Engine — social simulation with 19 composable mechanisms, 5 temporal modes, causal provenance, and structured social graphs.
Clockchain
The Temporal Causal Graph — PostgreSQL-backed directed graph that accumulates rendered past and simulated future into a growing Bayesian prior.
TDF
The Data Format — JSON-LD interchange format with content-addressed SHA-256 hashing. The universal data contract.
SNAG-Bench
The Quality Certifier — temporal reasoning benchmark with 60 adversarial tasks, 5 scoring axes, designed to stay hard through 2030.
Proteus
The Settlement Layer — prediction market protocol on BASE L2 where rendered futures are scored against reality.
Core Concept: SNAG
Social Network Augmented Generation synthesizes and maintains structured social graphs — with causal provenance, knowledge flow, emotional states, and temporal consistency — to ground LLM generation in complex group dynamics. Where RAG answers questions from what was written down, SNAG reasons about what people did, felt, and caused.| RAG | SNAG | |
|---|---|---|
| Input | Document corpus | Scenario + entities + relationships |
| Structure | Flat chunks | Directed causal graph |
| Temporal | Snapshot | Multi-mode (forward, branching, cyclical) |
| Output | Answer + citations | Simulation state + dialog + provenance |