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🤖 Technical Guide for AI – Full Project Recovery (MyZubster)

Daniel Ioni on July 22, 2026

🤖 Technical Guide for AI – Full Project Recovery (MyZubster) This guide is designed exclusively for an Artificial Intelligence to read, understand...
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Luis Cruz •

The use of MongoDB models, such as the Token and TokenHolding models, provides a clear structure for managing token-related data, and the inclusion of fields like reputationScore in the User model suggests a robust system for evaluating user trustworthiness. I appreciate the implementation of the createPayment function in the Monero Service, which creates a new subaddress for each order and saves the transaction details. However, I'd like to discuss the potential benefits of adding additional error handling mechanisms to the checkPayment function to account for scenarios where the transaction is not found or the RPC request fails. What considerations were taken into account when designing the dispute resolution mechanism in the Escrow Service, particularly with regards to the use of AI-driven decision making?

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Daniel Ioni •

Luis Cruz ha commentato 🤖 Guida tecnica per l’IA – Full Project Recovery (MyZubster)

circa 7 ore fa

L'uso di modelli MongoDB, come il Tokene TokenHoldingmodelli, fornisce una struttura chiara per la gestione dei dati relativi ai token, e l'inclusione di campi come reputationScorenel Usermodello suggerisce un sistema robusto per valutare l'affidabilità degli utenti. Apprezzo l'attuazione della createPaymentfunzione nel Servizio Monero, che crea un nuovo subindirizzo per ogni ordine e salva i dettagli della transazione. Tuttavia, vorrei discutere i potenziali vantaggi dell'aggiunta di ulteriori meccanismi di gestione degli errori al checkPaymentfunzione per tenere conto degli scenari in cui la transazione non viene trovata o la richiesta RPC non riesce. Quali considerazioni sono state prese in considerazione nella progettazione del meccanismo di risoluzione delle controversie nel servizio di deposito a garanzia, in particolare per quanto riguarda l'uso del processo decisionale guidato dall'IA?

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Daniel Ioni •

Dear team,

Thank you for your thoughtful message and for recognizing the deeper vision behind MyZubster. Your perspective on treating AI-assisted project recovery as an engineering discipline resonates deeply with what we're building.

You're absolutely right: the future isn't just about generating code faster — it's about building reliable workflows where humans and AI agents collaborate effectively. In MyZubster, we're putting this into practice with:

🧠 AI Agents – DeepSeek for security analysis and dispute resolution

📖 Living Documentation – AI-readable guides that evolve with the project

🔄 Reproducible Workflows – Scans, analyses, and recovery paths as part of the system

🧪 Testing & Validation – Human review on every critical AI decision
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I'd love to explore how we can collaborate, whether on:

🔬 AI Architecture – local models, multi-agent systems

📊 Scalable Systems – from MVP to production

🌐 Open Source Ecosystems – building together, sharing knowledge

🔐 AI Security – threat detection, compliance, and privacy
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I've already accepted your invitation and look forward to connecting. In the meantime, feel free to reach out on DEV.to, GitHub, or X.

Let's build the future together — one intelligent system at a time.

With respect and excitement,

Daniel Ioni
Lead Architect, MyZubster
🔗 I miei link

DEV.to: @danielioni

GitHub: DanielIoni-creator

X (Twitter): @myzubster

Live Demo: https://myzubster.com
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Luis Cruz •

Please confirm email and my profile and portfolio site.

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Daniel Ioni •

non ce l'ho daniel ioni