Project summary

THE FRAME is a value-agnostic analytical pipeline that processes normative prescriptions by measuring structural distance from explicit foundational principles — without producing moral judgments. The Normalizer (Stage 1) is live. This grant funds the completion of the Analyzer (Stage 2) and the Alternatives stage, closing the full operational loop

What are this project's goals? How will you achieve them?

• Complete the Analyzer: map any prescription against 8 foundational principles across 3 coherence axes via sequential prompts

• Add the Alternatives stage: generate prescriptions that reduce identified incoherences while preserving the declared goal

• Integrate both stages with the existing Normalizer into a single operational pipeline

• Demonstrate that grounding analysis in structural principles — rather than case accumulation — systematically avoids the coverage and generalization problems inherent in use-case-based approaches. If validated, this constitutes a replicable design principle for AI safety and alignment work more broadly.

How will this funding be used?

• Researcher time: full-time focus on Analyzer implementation, Alternatives stage development, and pipeline integration — no parallel consulting work during this period

• IT costs: compute for multi-model stress-testing and API inference

Who is on your team? What's your track record on similar projects?

Solo project — Gaetan Duchateau, GRDProcess Sàrl (Switzerland). 15+ years in data analysis and process improvement. Several years of independent research in cognitive sciences and informal logic, forming the methodological foundation of THE FRAME. Methodology and ongoing results and details at www.grdprocess.ch/the_frame and www.grdprocess.ch/research.

Example of the use of the frame on the analysis of claude constitution : https://www.grdprocess.ch/wp-content/uploads/2026/03/20260314_structural_analysis_anthropic_constitution_normalizer.pdf

What are the most likely causes and outcomes if this project fails?

Early results and development confirm the approach works. The two remaining risks are:

• Funding gap: insufficient runway to complete implementation before financial constraints force a return to another activity

• Adoption: the pipeline is built, but uptake across target domains remains uncertain

The second risk is mitigated by the breadth of potential applications:

• AI Safety - Improve guardrails through dialectical verification - Detect incoherence in AI outputs

• Policy Analysis - Articulate axioms in public debates - Reveal real points of disagreement

• Conflict Resolution - Map apparent vs real disagreements - Enable productive dialogue

• Education - Teach structured reasoning - Develop critical thinking

• Institutional Decision-Making - Audit reasoning processes - Improve decision quality

How much money have you raised in the last 12 months, and from where?

0