Project plan: Open source AI system “OZMAI“ for tax and data management in OZM Hammerbrooklyn
Introduction
OZMAI (Open Zone Management Artificial Intelligence) is an ambitious project of the OZM HAMMERBROOKLYN - one Art and Innovation Laboratory in Hamburg – to develop an open AI system for Financial and tax administration. The OZM (OneZeroMore) is organized as a non-profit GmbH (gGmbH) and pursues the mission of making art accessible to everyone and integrating the latest technologies (OZM in Hamburg: Art Lab for graffiti writing, urban art, visual arts and AI | URBAN PRESENTS). This is financed OZM HAMMERBROOKLYN without state funding through experimental economic success – for example Art sales, container installations and an innovative real estate project (a high-rise building). Against this background, OZMAI as Prototype of an AI infrastructure which manages all financial data, automates tax processes and ensures maximum transparency in the use of funds.
This report examines the Objectives, architecture, implementation steps, legal aspects, economic visions as well as those Community strategy of the project. As an open source initiative, OZMAI published open source on platforms such as GitHub and Open CoDE to promote reusability and collaboration. This is in line with the principle "Public Money? Public Code!", according to which publicly funded software should be made open source and benefit the general public. Although OZMAI developed from the independent art economy, it shares these values of Openness, transparency and community development, as they are also supported by digital civil society and initiatives such as the Initiative Transparent Civil Society be propagated (Transparent Civil Society Initiative | Transparency International Germany eV) (Transparent Civil Society Initiative | Transparency International Germany eV).
OZM HAMMERBROOKLYN Exhibit – Room Installation of Slick Digg – Photographed by ANEK
Objectives of the project
The main objectives of OZMAI can be summarized as follows:
- Automated tax administration: Complete coverage of all relevant tax types for the organization (e.g., corporate tax, trade tax, sales tax), including timely tax return preparation, calculation of taxable amounts, and optimization of depreciation. This is intended to reduce manual accounting effort and minimize errors.
- Non-profit-compliant financial management: Consideration of all non-profit legal requirements a gGmbH, in particular administration of Donate, monitoring of Creation of reserves and ensuring the earmarked use of funds. OZMAI should automatically check that income and expenditure comply with the requirements of the German Tax Code (AO) for non-profit organizations (e.g., use of funds promptly for statutory purposes, limitation of free reserves, etc.).
- Transparency and traceability: Creation of a OZMX-Data structure as a central data warehouse, which records all cash flows, investments and project financing fully and clearly documentedThis facilitates internal analysis and enables external stakeholders (e.g. funders, auditors, public) to Source and use of funds to be traced at any time (Transparent Civil Society Initiative | Transparency International Germany eV) (Transparent Civil Society Initiative | Transparency International Germany eV). The system should, for example, automatically generate reports that correspond to the ten transparency points of the Transparent Civil Society Initiative, including information on the origin of funds, their use, and the assets tied up in the arts sector (Transparent Civil Society Initiative | Transparency International Germany eV) (Transparent Civil Society Initiative | Transparency International Germany eV).
- Integration into OZM-Ecosystem: OZMAI is called Prototype in OZM HAMMERBROOKLYN implemented – a real laboratory that combines art, technology and business. The aim is to economic and cultural test zone To equip Hammerbrooklyn with an intelligent infrastructure that art-generated income (such as art sales, event revenues), Projects (modular event spaces) and Real estate developments (e.g., income from the high-rise building) are recorded and managed in one system. All these heterogeneous income streams are to be centrally recorded by the AI and treated for optimal tax purposes. This demonstrates how a cultural center can operate economically successfully without subsidies.
- Sustainable economic self-sustainability: Through better data analysis and automation OZMAI contribute to the OZM covers its costs, Reduces debt (e.g. investment loans for buildings) and reinvest generated profits in new art projects. The AI is intended to identify trends where savings potential or investment opportunities lie, and thus act as a kind of “creative economic stimulus package” from the art. Success is measured by the extent to which OZMAI helps to achieve financial stability while maximizing the charitable purpose of promoting art and culture.
- Open source blueprint: The project has been conceived from the outset as Open source initiative This means that the developed AI infrastructure can later be adopted by other organizations – for example Cultural centers, non-profit organizations or social enterprisesthat have similar requirements for financial management and transparency. OZMAI should as blueprint that can be adapted to different contexts. Publication on platforms such as Open CoDE (the open source platform of the public sector in Germany) actively promotes the reusability and collaborative development of the solution. This allows administration, business, and civil society to jointly benefit from the experiences and continuously improve the system.
System architecture and technology
System overview: The architecture of OZMAI is designed modularly to Extensibility, data security and performance Essentially, the system is divided into the following components:
- Data integration and management: A central one Database or a data warehouse (OZMX) collects all relevant financial data. This data comes from various sources:
- Accounting systems: OZMAI is about open APIs connected to existing accounting and ERP software. For example, a connection to DATEV (or DATEV-like systems) is possible, since DATEV is DATEVconnect offers an API for bidirectional connection of accounting programs (Solved: DATEVConnect Desktop API: Payment status/postings…). Imported via such interfaces OZMAI ongoing accounting data (income, expenses, receipts) almost in real time.
- Bank and payment details: Connection to banking interfaces (e.g. via FinTS/API) for recording account transactions, reconciliation with open items and liquidity monitoring.
- Tax data sources: Import of relevant tax data, e.g., notices from the tax office (digital notice data), VAT advance return confirmations, or electronic receipts (e.g., from the BZSt portal for donation confirmations).
- Manual data entry: For cases that are not yet recorded automatically (e.g., valuation of donations in kind, cash transactions, etc.), OZMAI a user-friendly web interface for data capture. All data undergoes validation rules to ensure consistency.
- Data structure (OZMX): The OZMX-Data structure acts as a uniform schema that combines classic accounting data (accounts, posting records, cost centers) with additional information for Tax and non-profit status For example, each income and expenditure is assigned categories: Is it taxable turnover, a tax-free donation, earmarked use of funding, etc. This creates a semantically rich database that is used for evaluations. OZMX-structure allows Transparency reports automatically generate reports that detail where funds come from and what they are used for (Transparent Civil Society Initiative | Transparency International Germany eV) (Transparent Civil Society Initiative | Transparency International Germany eV). These reports can be made publicly available to build trust with sponsors and the community – true to the motto: “Transparency creates trust” (Transparent Civil Society Initiative | Transparency International Germany eV).
- AI and rules engine: The heart of the system is a dual engine consisting of:
- Expert rules: Codification of Tax regulations and non-profit rules in machine-readable rules. A rule module monitors, for example, that a maximum of 10% of annual funds are spent on administration (typical requirement for grants) or that the profit limit for tax harmlessness of the gGmbH is not exceeded in commercial activities. This module acts as Compliance Guardwhich issues warnings in case of violations.
- Machine learning components: AI modules take on tasks such as Document classification, Predicting tax burdens or Anomaly detectionFor example, a AI model Based on posting texts and amounts, identify whether the costs are deductible or non-deductible (e.g., entertainment beyond flat rates), and automatically pre-post the corresponding postings. Deep learning algorithms are used to identify patterns in financial data and create forecasts – such as cash flow forecasts or tax refunds. OZMAI on established open source frameworks such as PyTorch or TensorFlow for modeling neural networks. Pre-built models (e.g., NLP models for text recognition on receipts) can be loaded and fine-tuned via platforms such as TensorFlow Hub or PyTorch Hub (5 Types of Machine Learning Algorithms (With Use Cases)).
- Data protection and security module: Da OZMAI processes highly sensitive financial and personal data, data protection integral anchored in the architecture. Two key principles come into play:
- Data minimization: According to Art. 5 GDPR and recommendations from data protection authorities, AI systems are also subject to Principle of data minimization (Hambach Declaration on Artificial Intelligence | datenschutz.rlp.de). OZMAI collects and stores only the data that is absolutely necessary for the respective purposes. For example, personal data of donors can be pseudonymized after the donation confirmation has been created or deleted as soon as it is no longer needed. For AI training data, anonymized or synthetic data sets are used wherever possible to protect privacy.
- Differential Privacy and Privacy Engineering: Differential Privacy (DP) is used in the development of ML components to enable statistical evaluations without revealing individual data. DP deliberately adds statistical noise to queries, making it almost impossible to draw conclusions about individual people (A Survey of Differential Privacy Frameworks – OpenMined). For example, the library PyTorch Opacus integrated – a high-speed library that allows training neural networks with differential privacy (A Survey of Differential Privacy Frameworks – OpenMined). This way OZMAI For example, train a machine learning classifier that detects typical booking errors, without an auditor can later reconstruct sensitive individual bookings from the model behavior. In addition, procedures such as Access controls, encryption (for data at rest and in transit) and regular security audits are used to ensure the confidentiality and integrity of the system.
- User interface and reporting: Via a web-based Dashboard receive authorized users (e.g. OZM-Management, accountants, auditors) Access to all functions:
- Overviews & Key Figures: Graphical presentation of real-time key figures (sales, expenses, cash, taxes payable, etc.).
- Tax and financial calendar: Automatic reminders of deadlines (advance tax returns, annual returns, audit intervals).
- Document management: Display of recognized documents, possibility to correct or confirm AI suggestions.
- Reports & Exports: Generation of PDF and CSV reports, which can be submitted to the tax office or published as part of annual reporting. Interfaces allow export, for example, to the Elster format for tax returns.
- Configuration module: Setting of parameters (e.g. tax rate in case of changes in the trade tax assessment rate, deposit of the current exemption limits for donation receipts, etc.).
Technology stack: The entire system is developed using open source technologies. programming languages such as Python (for AI and backend logic, thanks to strong ML libraries) and JavaScript/TypeScript (for frontend) are used. Framework For example, React or Angular could be used for the web frontend, while the backend is built on a robust web framework (e.g., Django or FastAPI in Python). The database could combine a SQL system (e.g., PostgreSQL) for structured financial data with a NoSQL store (for unstructured data such as receipt images). AI models are developed with PyTorch or TensorFlow, as mentioned above; libraries such as scikit-learn (classic ML algorithms), spaCy (NLP), or OpenCV (image recognition for receipts) can be incorporated for specialized tasks.
Special emphasis is placed on interoperability and Standards All interfaces of OZMAI (e.g., REST APIs) are openly documented so that external developers or other organizations can extend the system. Publishing the code under a suitable open source license (likely MIT or Apache 2.0 for maximum openness, or AGPL if copyleft is desired) ensures that the solution is widely adopted by the community. The open architecture also allows for modules to be exchanged or improved later—for example, another nonprofit could develop an extension for fundraising campaign management and contribute it as a plug-in.
Implementation and schedule
The realization of OZMAI is carried out iteratively in successive phases. An agile project approach (e.g. Scrum) ensures that functional prototypes are created early and that feedback from practice can be incorporated. The following is an overview of the planned Project phases, their contents and expected duration:
Phase | Content / Tasks | Duration |
1. Requirements analysis & conception | Workshops with OZM-participants (management, accounting, artist representation) to record all requirements. Creation of a Specifications with use cases (e.g. “Create VAT advance return”) and definition of the data fields of the OZMX-Structure. Legal requirements (tax laws, non-profit status requirements) are coordinated with tax advisors. In addition, risk analysis (data protection, security) is conducted. | 1-2 months |
2. Architectural design & Prototyping | Design of the system architecture (component diagrams, interface definitions). Selection of the Technology stacks and setting up the development environment (repos on GitHub/Open CoDE, CI/CD pipeline). Development of a Minimal prototype: e.g. a simple web form that manually records bookings and saves them in the database to test the basic framework. | 1 Monat |
3. Data integration & import modules | Implementation of the interface to existing systems. Development of connectors to accounting software (e.g. import of DATEV posting batches via API or CSV). Structure of the Database with all tables according to OZMX-Model. Test: Import historical OZM-Data to fill the system with real numbers and simulate use cases. | 2 months |
4. AI component development (iteratively in sprints) | Development of the most important AI features: First, the rule engine (control logic represented as code), then ML models. Planned sequence: (a) Document classification: Train a model that maps the transaction text + amount to the tax category. (b) Anomaly detection: Flag unusual expenses or bookings. (c) Prognosis: Cash flow and tax forecasting model. Parallel integration of PyTorch/TensorFlow and implementation of differential privacy (e.g., training with PyTorch Opacus (A Survey of Differential Privacy Frameworks – OpenMinedEach sprint (2–3 weeks) delivers an incremental feature that is immediately tested. | 4–6 months (for the first version of the AI modules) |
5. Frontend & Reporting | construction of dashboards and the user interface. Implementation of the various views (Finance KPI Overview, Detail Journal, Settings pages). Integration of chart libraries for visualizations. Implementation of the Report generators (Transparency report, annual financial statements, tax return forms as PDF). User feedback sessions with OZMteam to improve usability. | 2 months |
6. Testing & Quality Assurance | Comprehensive Tests: Unit tests for all modules, integration tests (e.g., running the entire annual financial statements), and penetration testing for security. Data protection compliance check: Verification that all GDPR requirements are met (e.g., implementation of the right to be forgotten). Possibly an external audit by an IT auditor. | 1 month (continuously alongside development) |
7. Deployment & Training | Installation of the productive environment in OZM (Either on-premise server in Hammerbrooklyn or cloud deployment in a German cloud under GDPR conditions). Migration of all legacy data. Training the user – in particular OZM-Accounting – in using the system. Creation of a Documentation for administrators and users. | 1 Monat |
8. Pilot operation & improvement | Start of live operation in OZM HAMMERBROOKLYNClosely monitor results in the first quarters of business. Collect user feedback and error reports. Continuous improvements and bug fixes. Measure success based on defined KPIs (e.g., time savings in accounting, accuracy of tax forecasts, compliance with non-profit quotas). | 6–12 months (pilot phase) |
9. Open source release & Community Building | Publication of the source code (if not already done, e.g., on Open CoDE and GitHub) with detailed README and sample data. Public relations: Announcement in OZM-Blog, presentation at open source conferences (e.g. at the Public money, public code-Initiative or the Sovereign Tech Fund). Building a contributor community by setting up a forum or Discord and clear contribution guidelines. | parallel from phase 3, intensification after go-live |
This procedure provides that at the latest after approximately 12 Monaten a first fully functional version of OZMAI is in use. Early attention is paid to Transparency All developments are made public in a repository, so that interested developers or organizations can have insight and contribute during phases 4-5.
Legal aspects and compliance
A project of this nature touches on several legal areas – from tax law and non-profit law to data protection and IT law. The project plan pays particular attention to the following aspects:
- Tax and non-profit law: There OZMAI automates tax administration, it must comply with current German tax laws and tax office regulations. Körperschaftsteuer, trade tax and Value added tax for corporations (GmbH) are presented as well as the special rules for gGmbHs (non-profit organizations). Updates may be necessary if laws change (e.g. new sales tax rates, changes in the deductibility of donations, etc.). OZMAI is designed so that tax formulas and limits can be easily updated (via online update if necessary). In addition, it must be ensured that statutory requirements must be observed – for example, a gGmbH may not distribute profits, but may only use them for charitable purposes. The system will therefore automatically allocate profits to appropriate reserves or projects. A legal gray area could be innovative forms of financing (e.g., NFT art sales or crypto donations) that arise during the course of the project – in this case, the involvement of a tax advisor is planned from the outset to properly handle special cases.
- Privacy Policy: As described in the architecture chapter, the protection of personal data is a top priority. personal financial data (e.g. supplier data, donor lists, salaries) are processed in accordance with GDPR. Data minimization and pseudonymization provides OZMAI ensure that no unnecessary or disproportionate personal data is stored (Hambach Declaration on Artificial Intelligence | datenschutz.rlp.de). Features such as differential privacy in the evaluations serve to Privacy also in statistical reports to preserve (A Survey of Differential Privacy Frameworks – OpenMined). Furthermore, access is logged and only permitted to authorized persons (rights and roles concept, e.g., an accountant can see everything, an external auditor only anonymized amounts). For open source publication, data protection means that no real, productive data ends up in the repository – dummy data sets are used for demo purposes.
- Licensing and liability: The open-source AI system will be released under an OSI-certified license. A license that allows reuse and commercial use without restricting distribution (e.g., MIT or Apache 2.0) is planned. For this purpose, copyright notices of all libraries used will be observed. An important point is Liability: Since tax calculations can have sensitive consequences, the disclaimer states that despite careful programming, no guarantee is given for tax accuracy and that the responsibility ultimately lies with the user. For productive use in OZM However, you will still work closely with your tax advisor and, if necessary, seek a certificate to ensure that the system functions correctly.
- IT compliance and security: Should OZMAI are also used by other (municipal) institutions, standards such as the BSI Baseline Protection Compendium may need to be taken into account. OZM Internally, IT security is implemented according to the state of the art. Regular updates, the use of supported software versions, and penetration tests are planned. Furthermore, it is documented how OZMAI is embedded in the existing IT landscape in order to integrate emergency plans (backup & recovery).
Through early and regular consultation with legal experts (data protection officer, tax advisor, and non-profit experts if necessary), the project ensures that all legal requirements are met. OZMAI should not only be technical, but also A model project in terms of compliance that demonstrates how AI in sensitive areas responsibly can be used.
Economic vision and sustainable financing
OZMAI is not just a tech project, but part of a larger economic vision des OZM HAMMERBROOKLYNThis vision is to promote art and culture through entrepreneurial activities to finance self-sustaining and thus explore new avenues beyond state subsidies. The following aspects characterize the economic strategy that OZMAI should support and make visible:
- Map diversified revenue streams: The OZM generates revenue from Art sales (Original art, prints, digital artworks), Events and Exhibitions, out Rental (the container modules on the site can be used for workshops, catering, etc.) and in the future real estate projects (Parts of the Hammerbrooklyn high-rise could be rented out). OZMAI consolidates these heterogeneous income streams and shows in real time which area contributes what. This allows business decisions, such as intensifying art sales versus expanding events, to be made based on data.
- Cost control and efficiency: By monitoring all expenditures, the system identifies potential savings. For example, OZMAI reveal that certain operating costs are disproportionately high compared to the industry standard and calculate alternative scenarios. The AI could also make suggestions for Resource allocation – for example, allocate more budget for marketing if art sales fall short of expectations. A more effective allocation of resources should improve the financial Increase performance, which is reflected in higher surpluses.
- Debt repayment as a measure of success: Should the OZM for infrastructure investments (renovation of the building, construction of the container facility, etc.), the Repayment of these debts be a primary goal. OZMAI Visualizes the progress of debt reduction and simulates the long-term impact of various financial decisions (e.g., early repayments vs. reinvestment in a new project). The project's financial health thus becomes transparent. As debt is reduced, freely available funds increase – OZMAI can predict when sufficient liquidity will be available for the next major art project.
- Reinvestment in art and the common good: As a non-profit art house, OZM reinvest generated surpluses in the statutory purpose. OZMAI therefore also tracks the Use of funds in the interest of the common good: How much money flows back into new exhibitions, support programs for artists, educational work, or social projects? This indicator is important to demonstrate that economic success directly benefits art and society. Ideally, OZMAI visible that one euro of sales generates X euros of cultural added value. This type of social return should serve as an argument to adopt the model elsewhere.
- Sustainability and “economic stimulus package from art”: In the long term, the idea is that projects like OZM HAMMERBROOKLYN Give impulses to the economy – through innovation, tourism (visitors to the gallery), creation of creative jobs – and thus like a artistic economic stimulus program Act. OZMAI can help to measure or at least represent these indirect effects, such as the number of artists involved who receive commissions or the local expenditure of visitors. These data support the thesis that investments in culture multiplicative effects Economically, OZMAI thus making it easier to prove that cultural funding is not just about spending, but Value Added and Innovation generated.
An important part of the vision is also the Reproducibility: If OZMAI If this demonstrates that an art venue can function financially independently, this model can be applied to other projects. This could convince investors and public authorities to support similar centers—not with permanent grants, but with start-up funding that will pay off in the long run. OZMAI serves here as Transparency and trust instrumentbecause it documents the complex cash flows and effects in black and white.
In summary, supported OZMAI the economic strategy of the OZM, by it Data-driven decisions enables, makes success measurable and ensures that economic success goes hand in hand with cultural and charitable successThis combination of profit orientation and the common good is the core of OZMphilosophy and is made practically feasible by the AI system.
Community strategy and open development
As an open source project, it is crucial to have an active Community around OZMAI that supports, uses, and further develops the system. The community strategy encompasses several levels:
- Transparent developmentFrom the outset, the development will be publicly accessible (e.g., repository on GitHub or Open CoDE). Interested parties can follow commits, open issues, and make suggestions. This openness is intended to attract other developers, possibly from public administration or other cultural institutions, at an early stage. This corresponds to the approach that the public sector in Germany is pursuing with platforms such as Open CoDE. Reuse and collaboration to promote software.
- Documentation and knowledge sharing: To facilitate external contributions, comprehensive documentation is created – from Developer Guide (Setting up the development environment, architecture overview) to User documentation. In addition, Blog posts or videos explain the complex tax relationships so that even internationally or non-specialist developers understand the problem OZMAI The use of German and English as project languages (code and documentation) ensures that resonance is possible both locally (German tax context) and globally.
- Community platforms: In addition to the code repository, communication channels are established. A public chat (e.g., Discord or Matrix) enables direct exchange. A discussion forum (e.g., GitHub Discussions or a Discourse forum) can be used for in-depth architecture debates or support questions. Presence at established events in the open source and civic tech scene is also important, such as presentations at the Chaos Communication Congress, the FOSDEM, or network meetings of the Open Knowledge Foundation. There you can OZMAI as best practice for “Open Source in the Non-Profit Sector” to be introduced.
- Alliances with funding initiatives: To ensure the sustainability of the open source project, we are seeking to work closely with organizations that promote open source, such as the Sovereign Tech Fund (Germany) that supports open digital infrastructure as the backbone of digitalization (Sovereign Tech Fund – SPRIND). Foundations or digital civil society programs could also be addressed, OZMAI as a model project. Such collaborations not only bring financial resources, but also further expertise and visibility. The Sovereign Tech Fund, for example, was presented in the Bundestag as “effective investment in IT security” praised (Open Source: Bundestag strengthens Sovereign Tech Fund) – an award that OZMAI can strive for by combining security and the common good.
- Local community and user group: There OZM HAMMERBROOKLYN is deeply rooted in Hamburg's art and culture scene, a local user community will also emerge. Workshops on site could demonstrate how OZMAI works – perhaps other non-profit organizations or startups from the Hammerbrooklyn area will be interested in the software. Exchange program ("Open OZM“) could be established, where developers from other organizations work on the project for a few weeks and in return take their experiences back into their projects (kind of residency, but for developers).
- Feedback and continuous improvement: The community should be Soundboard serve to OZMAI to continuously improve. Any problems or new feature requests are discussed openly. Since the financial and tax regulations are constantly changing, it is very valuable to have many eyes on the code – according to Linus' Law "Given enough eyeballs, all bugs are shallow." The community's collective intelligence can uncover tax edge cases more quickly. open governance model (e.g. a project steering committee in which active contributors participate in decision-making) the project remains lively and relevant in the long term.
As Success. It would be considered a community strategy if, within one year of publication, several external contributions (Pull Requests) have been received, and perhaps 1-2 other organizations have started a pilot installation. This would mean OZMAI spreads, and the more it is used, the more feedback flows back – a virtuous circle.
Last but not least, OZMAI also a cultural statement: It demonstrates that the art scene is not only creative but also capable of penetrating high-tech areas and initiating open source developments there. This narrative should also be communicated to inspire other unconventional actors to discover open source for their purposes.
Conclusion
OZMAI connects in a unique way Art, technology, economy and the common goodThe project plan outlines a comprehensive AI infrastructure that will OZM HAMMERBROOKLYN permitted, Finance and taxes autonomous, efficient and transparent to manage. The use of modern AI methods (machine learning, automation) and strict adherence to data protection and non-profit regulations creates a system that is both innovative and trustworthy.
Developed as an open source project OZMAI about the OZM impact: It can be adapted by other non-profit organizations, cultural projects or even public administrations to digital sovereignty in financial management. OZMAI a contribution to the growing movement to build public digital infrastructure openly and collaboratively – according to the principle that common goods and public money serve the common good This development comes at exactly the right time, as politics and society are increasingly realizing that Open source is the backbone of digital infrastructure forms (Open Source: Bundestag strengthens Sovereign Tech Fund) and corresponding projects deserve support.
For the OZM HAMMERBROOKLYN shall OZMAI be living proof that Art can do more than just produce beautiful works – it can be the starting point for entrepreneurial models and technologies that have a sustainable impact. Economic success, debt reduction and reinvestment are transparently presented and show: This cultural project is no subsidized operation, but a self-reinforcing ecosystem of creativity and responsibility.
The end result is the vision that OZMAI school and supports similar centers in many places, To support dreams with data and figures. This project plan lays the foundation for this – now it is time to fill it with life, write code and build community. OZM and its partners invite you to take this path together and show what an open AI solution in the service of art and the common good can look like.