PsicopoMPo

What the company appears to be: PsicopoMPo is a self-reported facilitator-controlled AI workspace for Harmonic Myth Projection (HMP), combining an acoustic field device called the Harmonic Beacon with a 15-year symbolic practice. It is described as a digital operating layer that supports structured human processes, not an autonomous chatbot.

What changed: The project emerged from existing research and practice—Harmonic Information Theory (HIT), Phideus, Harmonic Beacon, and Personal Myth Projection (PMP)—and was built to operationalize these in a digital form. It began as a beta with browser-based interfaces for facilitators and participants, but the authors describe an intended future version that would be voice-first and eyes-closed.

Single most important open question: Is there evidence of real-world adoption or traction beyond the author’s own practice and development work?

Analysis basis: This report is based entirely on the self-reported project description provided by the caller. No external verification, revenue data, customer names, or independent sources are available. All claims in this document are stated by the author and not independently confirmed.

The description states that PsicopoMPo is a facilitator-controlled AI workspace for Harmonic Myth Projection (HMP). It supports structured symbolic journeys through fixed protocol phases, with human intervention and oversight. The system includes:

• Separate synchronized interfaces for facilitators and participants.
• A browser dictation and speech playback layer.
• Integration of a representative Beacon track without controlling the physical device.
• Export functionality triggered only by explicit facilitator request.
• Use of multiple models (Gemma 4 E4B, LoRA adapters) to manage decision-making, gatekeeping, and language generation within a defined state machine.

Inference: The product is not an autonomous AI assistant but rather a tool for guiding and documenting structured human experiences. It is described as a beta that exposes system state and decisions for validation purposes.

The description positions PsicopoMPo as part of a broader research ecosystem—AlterMundi—which includes:

• Harmonic Information Theory (HIT)
• Phideus (computational exploration)
• Harmonic Beacon (acoustic field device)
• Personal Myth Projection (PMP) — a 15-year-old symbolic practice
• PsicopoMPo — the digital layer for running PMP

The authors state that PsicopoMPo did not begin as an AI looking for a use case; it emerged from an existing method and physical system. It is framed as a facilitator workspace, not a chatbot or general-purpose AI.

Claim: The product is positioned as a tool to support repeated, structured human processes rather than autonomous interaction.

Inference: This evolution suggests that the team prioritized fidelity to an existing symbolic framework over generic AI capabilities.

The description indicates that PsicopoMPo targets:

• Facilitators who run HMP sessions
• Participants in structured symbolic journeys
• Wellness and retreat operators in Costa Rica (mentioned as current go-to-market focus)

It is described as a facilitator workspace, implying the primary user is someone managing or guiding a session, not the end-user directly.

Claim: The target customer is facilitators who operate within a specific symbolic framework.

Inference: There is no evidence of broader market segmentation or commercial adoption beyond local practitioners and operators.

There is no pricing information or business model described in the self-report. The project is presented as a beta, and there are no mentions of monetization, licensing, or customer acquisition costs.

Claim: No evidence of pricing, revenue streams, or commercial models.

Inference: The lack of any financial or commercial detail suggests either early-stage development or non-commercial intent.

The system uses a multi-model architecture:

• Gemma 4 E4B as base model
• Decision LoRA, Gate LoRA, Execution LoRA adapters
• Contextual Gemma for live execution
• Post-session Gemma for myth expansion
• BGE-M3 for semantic embeddings
• SQLite FTS5 and BM25 for retrieval (not vector-based)
• Groq for translation
• Web Speech API for voice controls

The system is described as local-first, with training and inference running on a single RTX 3090 workstation. Synthetic data generation, benchmarking, and evaluation tools were also developed in-house.

Claim: The architecture is modular, task-specific, and local.

Inference: This suggests a strong emphasis on reproducibility, control, and minimal external dependencies.

The description mentions:

• A public beta
• Use with local facilitators and wellness/retreat operators in Costa Rica
• A 15-year symbolic practice underpinning the system
• In-house training of models and benchmarking tools

However, there is no evidence of:

• Revenue or ARR
• Customer base or adoption metrics
• Product-market fit validation
• Any measurable traction beyond internal development and testing

Claim: The product exists in beta form and has been tested with local practitioners.

Inference: No external validation, usage data, or performance metrics are provided.

The description does not reference any direct competitors. It situates itself within a niche area combining:

• Symbolic practices
• Acoustic fields
• AI facilitation tools

It is unclear whether similar products exist in the market, as no competitive landscape is described.

Claim: No mention of existing or comparable solutions.

Inference: The lack of competitive context makes it difficult to assess positioning or differentiation.

• Unclear commercial viability: No revenue, pricing, or customer data.
• Highly specialized domain: The symbolic and acoustic nature may limit scalability.
• Limited external validation: Traction is only described in internal terms.
• No clear path to monetization: No evidence of a go-to-market strategy beyond local testing.
• Dependency on niche expertise: Relies heavily on the creator's own practice and training.

Inference: The project appears to be an experimental or research tool, not a scalable commercial product.

1. What is the current level of engagement from facilitators and participants in Costa Rica?
2. How is the symbolic practice validated or tested outside of internal cycles?
3. Are there plans for broader market expansion beyond local practitioners?
4. What are the key metrics used to evaluate success in beta sessions?
5. How does the team plan to transition from a research tool to a scalable product?
6. Is there any intention to license or commercialize the underlying symbolic framework?