Forecast strategic futures with IFTF method

Generate four independent futures (Probable/Plausible/Possible/Preferable)

Strategic planners and policy analysts who need structured scenario thinking on complex macro questions (AI geopolitics, market dynamics) with both quick Claude answers and rigorous deterministic exploration.

• · question (e.g. 'Will India become the global AI leader?')
• · stakeholder list (optional, for conditional analysis)
• · time horizon (implicit: 5-10 years)

• · four futures with descriptions
• · per-stakeholder conditional outcomes
• · soft prediction (Claude-native, instant)
• · hard prediction (12-step deterministic pipeline, Python-computed)

• · Claude API (soft predict)
• · Python runtime (hard predict)
• · IFTF methodology reference implementation

• · IFTF framework familiarity (implicit for interpreting outputs)
• · Python 3.7+ (hard predict mode only)
• · question must be answerable in 5-10 year horizon

• · question too abstract — futures become unfalsifiable
• · stakeholder list incomplete — missing critical perspectives
• · hard predict 12-step pipeline halts — partial result returned
• · futures too similar — inadequate divergence

• · IFTF methodology (established foresight framework)
• · two prediction modes (instant + rigorous tradeoff)
• · stakeholder-specific conditional analysis
• · example questions provided (validates feasibility)