Set your parameters and click Generate Scenario to produce a five-stage AI-driven future from your selected drivers.
SYSTEM LEVEL: TIER 04
Scenario

Select drivers to
generate a scenario

Scenario Parameters
None
SELECT DRIVERS THEN RUN SIMULATION TO GENERATE STAGES
Strategic Impact Analysis REF.ID: ---

Generate a scenario to see strategic impact analysis.

System Pulse
Driver Coherence--ms
Browse 100 macro drivers. Click any card to select it — selections sync across all views. Head to Scenarios to generate AI-driven futures from your selection.
Filter:
Maps possible futures across Probable, Possible, Plausible, and Preferable bands. Toggle the Scenario chip to plot your scenario trajectory, or select a driver chip to see its projected drift. Hover any stage node for details.
Parameters — — — No company active
Select drivers and click Generate Logic. Foresight OS treats your selection as a system — surfacing compound effects, tensions, and prerequisites — then maps it into a branching IF / THEN / ELSE chain with investment opportunities and key risks.
Parameters — — — No company active
Driver Library
Cause & Effect Builder
◈
Pick drivers from the Driver Library on the left, then click Generate Logic to build a cause-and-effect chain.
Platform methodology, source references, disclaimers, and licensing terms.

About Foresight.OS

A strategic foresight workspace for venture investors, corporate strategy teams, and professional futurists. Foresight OS turns a curated set of macro drivers into AI-generated scenarios across multiple horizons, tones, and domains — surfacing in minutes the kinds of outputs that traditionally require multi-day analyst engagements.

Methodology

When you generate a scenario, your selected drivers are passed to a large language model along with your chosen time horizon, tone, and domain. The model returns five sequential stages — each with a description, a one-word theme, a divergence value, and 3–4 investable category archetypes — visualized on a futures cone calibrated to the four classical bands (Probable, Possible, Plausible, Preferable). Tone selection shifts the categories: optimistic surfaces emerging plays, baseline the consensus thesis, challenging the defensive moats and incumbents-who-survive.

The 100 macro drivers in this workspace were synthesized from publicly available frameworks published by the World Economic Forum and McKinsey & Company, then de-duplicated and re-categorized across the STEEP framework:

  • S Society
  • T Technology
  • E Economy
  • Ec Ecology
  • P Politics

Additional database sources can be added to bring more focused context if desired.

Each driver carries a source attribution surfaced on its card:

  • WEF World Economic Forum
  • MCK McKinsey & Company
  • SYN Synthesized — a sub-driver or interpolation derived from the source frameworks but not directly named in either

Drivers that appear in both WEF and McKinsey carry both labels (de-duplicated overlap).

Driver Content & Selection Weighting

Each of the 100 drivers carries a title, a one-sentence descriptor, a STEEP category, and a source attribution. The descriptor is a concise signal statement — not an extended analysis. When you generate a scenario, the platform passes the selected driver titles to the language model as equal-weight inputs. When you generate an If/Then Logic Flow, it passes both titles and descriptors, giving the model slightly richer signal to reason about interactions.

There is no numeric weighting applied to drivers. All selected drivers are treated as equal inputs, and the model synthesizes their interactions, tensions, and compounding effects autonomously. Effective weighting is entirely user-driven:

  • Selection — only the drivers you select are passed to the model. Unselected drivers are invisible to generation.
  • STEEP balance — if your selection contains five Technology drivers and one Society driver, the model's outputs will naturally lean toward the Technology cluster. Varying the STEEP mix produces substantively different scenarios even from the same topic area.
  • Exclusion toggle — the Active Drivers bar in the Scenario view lets you temporarily remove individual drivers from a generation without deselecting them, useful for testing how sensitive a scenario is to any single driver.
  • Driver count — a small, focused selection (3–5 drivers) produces tight, coherent scenarios; a larger selection (10+) produces richer, more complex outputs with broader scope.

Future releases will introduce optional driver signal-strength ratings to allow explicit up- or down-weighting of individual inputs before generation.

Sources Referenced

World Economic Forum

  • Global Risks Report (annual)
  • Future of Jobs Report
  • Top 10 Emerging Technologies
  • Strategic Intelligence Platform — driver and transformation taxonomies

McKinsey & Company

  • Technology Trends Outlook (annual)
  • McKinsey Global Institute reports — productivity, AI, energy transition, demographics
  • McKinsey Quarterly — business model, talent, capital markets coverage

Driver Distribution

Of the 100 drivers, attribution breaks down as: 22 from both WEF and McKinsey (de-duplicated overlap), 29 from WEF only, 22 from McKinsey only, and 27 synthesized sub-drivers. This roadmap will broaden over time to incorporate additional public sources — likely Gartner, IEA, IMF, IPCC, and government foresight units — to reduce single-source dependency and increase methodological diversity.

Disclaimer

Foresight OS is not affiliated with, endorsed by, or sponsored by the World Economic Forum or McKinsey & Company. Driver categories are independently synthesized from publicly available frameworks published by these organizations under nominative fair use. All scenarios are generated by the user's own configured AI provider; outputs are exploratory and should be verified before acting upon.

Limitation of Liability

All content generated by or through Foresight OS — including scenarios, stages, driver analyses, cause-and-effect chains, investment categories, and any other AI-produced output — is provided for exploratory, educational, and discussion purposes only. It is speculative by nature, may contain factual inaccuracies, omissions, or biases inherited from upstream models, and is not professional financial, legal, investment, strategic, medical, or operational advice. Users are solely responsible for evaluating, verifying, and deciding how to act on any content produced by the platform. Foresight OS is provided “as is” and “as available” without warranties of any kind, whether express or implied, including (without limitation) accuracy, completeness, fitness for a particular purpose, non-infringement, or merchantability. To the maximum extent permitted by applicable law, designbivouac, LLC, its affiliates, employees, and contractors shall not be liable for any direct, indirect, incidental, consequential, special, exemplary, or punitive damages — including loss of profits, revenue, data, goodwill, or business opportunity — arising from or relating to your use of Foresight OS, your reliance on any output it produces, or any decision made on the basis of such output. By using Foresight OS, you acknowledge and accept these terms.
designbivouac © 2026 designbivouac, LLC. All Rights Reserved.
Foresight OS™ and all associated trademarks, software, content, visual design, and underlying methodologies are the exclusive intellectual property of designbivouac, LLC. No portion of this product—including its source code, generated outputs, driver taxonomy, or visual identity—may be reproduced, distributed, modified, reverse-engineered, sublicensed, or used to train machine-learning models without the prior written consent of designbivouac, LLC. All rights not expressly granted herein are reserved.
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