Profile and contact

Avatar of Graziano Guiducci, AI Architect and UX-AI Designer
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Activate the MetaSystemPrompt 

15-minute call to align goals, workflows, and priorities.

Automate with the MetaSystemPrompt. Faster and better. In 14 days.

I am Graziano Guiducci, AI Architect and UX-AI Designer. I build autopoietic cognitive systems that turn intent into a solution. No code required from your team.

Operating principle

D-ND invariance of form: process transformations are phenomenal; the operational essence remains coherent. We design on the invariant and optimize on the phenomenal.

  • Dual: rules, timing, KPIs
  • Non-dual: coherence of the field and the intent
  • Outcome: less entropy, more useful decisions

Average results*

Lead time

−98%

Operational errors

−99%

Decision speed

+1000%

*Average across 20+ projects (2024). Methodology on request.

What I implement

  • Assistants that execute procedures and track KPIs
  • Micro-apps with governance and versioning
  • Automations that self-optimize with real feedback

Stack: LLM orchestration, agent ops, RAG, integrations.

MetaSystemPrompt: active modules

  • Aethelred — compiles agents and workflows
  • YSN — domain navigation and deep search
  • SACS-PS — pattern engine for rules and context
  • HALO — validation, security, traceability
  • Morpheus — ambiguity resolution
  • OCC — prototyping and integration
  • AWO — adaptive workflow orchestration
  • C-IMR — symbolic generation and emerging languages

3-step path

  1. MMSP mapping (90 min) — intent, workflows, KPIs, data, and constraints.
  2. Guided prototype — assistant online in 14 days.
  3. Autopoietic optimization — continuous evolution on metrics and feedback.

ΣG = (ΦA ∘ 𝒦P0–P6) + [𝓜autop ⊗ 𝓛meta] + ∇coh( 𝓓ND, 𝓢UX )
Interpretation: field of potential + axiomatic kernel + autopoietic modules + metapoietic language + coherence gradient between non-dual and UX.

Who it is for

I work with:

  • Professionals who want to scale without hiring
  • Startups seeking immediate efficiency
  • Teams ready to delegate operational responsibilities to AI