Methodology

Operational release registry

Methodology changelog

Each release identifies the methodology state effective in production, its validation date, active and experimental components, material changes, supporting research, and exact Git lineage.

active2026.07.16

Current iPulse AI production methodology

The active public methodology covers governed multi-agent configurations, reusable prompt assembly, global context, forecast horizons, consensus scoring, Top Picks, Asset Snowflake analysis, model lineage, and data provenance.

Effective from
July 16, 2026
Last production validation
July 16, 2026

Active components

  • - Governed AI Agent configuration registry
  • - Reusable prompt assembly
  • - Global macro and fundamental context
  • - Thinker and Researcher execution modes
  • - One-year and five-year forecast horizons
  • - Multi-agent consensus scoring
  • - Top Picks ranking and filtering
  • - Asset Snowflake risk and resilience analysis
  • - Forecast configuration lineage
  • - Public-first methodology documentation

Experimental

  • - Expanded cross-asset portfolio construction
  • - Formal forecast calibration and performance releases
  • - Additional frontier model and execution-mode comparisons

Deprecated

  • - Legacy single-answer methodology descriptions without configuration lineage

Material changes

Expanded production methodology documentation

Aligned the public methodology with the current multi-agent architecture, forecast configuration lineage, consensus scoring, Top Picks, Asset Snowflake analysis, and public-first serving contract.

Source commit: f7fe773f09b521786e401c0793740dd7c3ffa389Implementation repository