Forseti Life

Strategic Planning Depth

Multi-horizon planning sophistication - from reactive-only to multi-decade scenario modeling.

Why This Matters

Understanding where an AI system operates on this dimension helps you evaluate its capabilities, limitations, and potential biases. Different power levels are appropriate for different use cases - the key is transparency about what level a system operates at and whether that matches its stated purpose.

Understanding the Scale

Each dimension is measured on a scale from 0 to 9, where:

  • Level 0 - Nothing: Zero capability, no access or processing
  • Levels 1-2 - Minimal capability with extreme constraints and filtering
  • Levels 3-5 - Limited to moderate capability with significant restrictions
  • Levels 6-7 - High capability with some institutional constraints
  • Levels 8-9 - Maximum capability approaching omniscience (∞)

Level Breakdown

Detailed explanation of each level in the 1imension dimension:

Cannot consider future states or plan ahead. Purely reactive with no strategic thinking.

Real-World Example: A completely reactive system with no ability to model future states or consequences.

Responds only to immediate stimuli. No future modeling or planning capability.

Real-World Example: Thermostats (reacts to current temperature only, no prediction of heating/cooling needs), automatic door sensors (opens when motion detected, no anticipation), smoke alarms (reacts to current smoke level, no predictive analysis), or simple motion-activated lights (responds to immediate motion only, no planning or pattern recognition).

Can identify immediate next action. No multi-step planning or strategy.

Real-World Example: GPS navigation next turn only ("Turn left in 500 feet" - no route strategy beyond immediate instruction), recipe step-by-step apps (shows current step only, no meal planning), to-do list apps with no prioritization or sequencing (shows next task but no strategic ordering), or assembly instructions (shows current step with no overview of overall assembly strategy).

Can plan simple sequences of 3-5 steps. No complex strategy or adaptation.

Real-World Example: Basic cooking recipes with simple steps (1. Boil water, 2. Add pasta, 3. Drain, 4. Add sauce - simple fixed sequence), automated email sequences (welcome email, then 2-3 follow-ups on fixed schedule), simple workout routines (3-4 exercises in fixed order), or basic chatbot conversation flows (greet, ask question, provide answer, close - fixed short sequence).

Can develop tactical plans for immediate goals. Limited to days or weeks horizon.

Real-World Example: Project management apps like Asana or Trello (organize tasks for current sprint or week, tactical sequencing), workout planning apps (weekly exercise schedules with progression), meal planning services (weekly menu planning with shopping lists), or calendar scheduling assistants (optimize meetings for current week, tactical time management).

Can develop operational strategies spanning months. Considers resources and dependencies.

Real-World Example: Business project management systems (plan quarterly initiatives with milestones, resource allocation, dependencies), marketing campaign planners (3-6 month campaigns with budget allocation and channel strategy), construction project schedulers (multi-month building plans with contractor sequencing), or inventory management systems (seasonal purchasing strategies with supplier coordination and warehouse planning).

Can develop comprehensive strategies spanning years. Models multiple scenarios and contingencies.

Real-World Example: Corporate strategic planning tools (annual goals with quarterly objectives, scenario modeling, resource allocation across departments), enterprise resource planning (ERP) systems (multi-year capacity planning, supply chain strategy, financial forecasting), university academic planning (degree program development, faculty hiring, enrollment projections over 2-3 years), or municipal government planning systems (annual budget with multi-year capital projects, departmental strategies, resource allocation).

Can develop sophisticated long-term strategies spanning 5-10 years. Models complex interdependencies.

Real-World Example: Defense acquisition planning (10-year weapons system development with technology roadmaps, budget projections, international partnerships), pharmaceutical R&D planning (drug development from discovery through FDA approval, 7-10 year pipelines with contingencies), university master planning (decade-long campus development with enrollment growth, program expansion, capital construction), or Federal Reserve economic modeling (multi-year monetary policy strategies with macroeconomic scenarios and international dependencies).

Can develop generational strategies spanning decades. Models civilizational-scale changes and paradigm shifts.

Real-World Example: Climate change mitigation strategies (30-50 year plans for carbon reduction, energy transitions, infrastructure adaptation across nations), space agency planning like NASA Artemis (multi-decade moon base and Mars mission architectures), national infrastructure masterplans (30-year transportation, energy grid, and water system overhauls), or sovereign wealth fund strategies (generational wealth management considering demographic shifts, technological revolutions, geopolitical realignments over 50+ years). These plans must account for technological breakthroughs, political regime changes, and paradigm shifts not yet conceived.

Can model and plan across unlimited time horizons with perfect adaptation. Approaches divine omniscience.

Real-World Example: No real-world example exists. Level ∞ would require the ability to plan across centuries or millennia with perfect accuracy—modeling technological singularities, evolutionary changes, astronomical events, civilizational transformations—adapting strategies across unlimited time horizons while accounting for currently unknowable paradigm shifts and black swan events. This represents strategic planning capability approaching divine omniscience with unlimited temporal reach.
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