Jahan

Jahan is an AI simulation engine that models population reactions to products using grounded survey personas.

Jahan builds a population of LLM personas grounded in real survey respondents and places them on a social network to interact with products. Personas meet products on an X-like feed, a Reddit-like forum, and through word of mouth, reacting and talking over time. Users can define study parameters, launch studies, and watch worlds replay via a local web interface. The engine records every turn to an append-only trace for replay, resumption, and auditing. Intent is measured through semantic similarity rating against frozen anchor statements rather than direct numbers.

Jahan at a glance

Best for: Product manager, Founder
Runs on: Web, self-hosted, open source
Pricing: Source-available under Functional Source License 1.1 with Apache-2.0 future license
Released: October 2026
Category: AI research tool
Website: github.com/fm882/jahan

Key features

Builds LLM persona populations from survey data
Simulates social network interactions on feeds and forums
Records every turn to an append-only trace
Reconstructs exact prompts from the record
Measures intent using semantic similarity ratings
Publishes negative evaluation results transparently
Includes a local web interface for study management

Use it for

Simulate population reactions to a new product
Analyze word of mouth spread across a social network
Run multi-turn agent simulations on social feeds
Audit simulation turns and trace records

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