Dreamspace: No-Code AI Apps on Base L2 with Azure OpenAI & ZK Proof-SQL

Dreamspace’s public beta opens a new front in the no-code AI app builder race by combining Microsoft’s Azure AI stack, Space and Time’s zero-knowledge (ZK) verifiable database, and the Base Layer‑2 blockchain to let non‑technical creators design, deploy, and monetize on‑chain AI applications without writing a line of production code. (ainvest.com)

Background / Overview​

Dreamspace bills itself as a “vibe‑coding” studio for the AI economy: a no‑code, generative platform that scaffolds frontends, smart contracts, and data pipelines from natural‑language prompts and prebuilt templates. The platform integrates Microsoft Azure AI Foundry and Azure OpenAI for model access and tooling, while relying on Space and Time’s tamperproof SQL and ZK proofing for verifiable data, and publishes deployable smart contracts on Base, the Coinbase‑incubated Ethereum Layer‑2. (blog.dreamspace.xyz, techcommunity.microsoft.com, docs.spaceandtime.io)
At a glance, Dreamspace promises to:

• Turn plain‑English app ideas into working dapps, smart contracts, and UIs.
• Let creators monetize via tips, token gating, subscriptions, or custom on‑chain logic.
• Provide cryptographic verification of query results and data inputs using Space and Time’s Proof‑of‑SQL approach.
• Leverage low‑cost, EVM‑compatible on‑chain execution on Base to reduce operational friction for new creators. (ainvest.com, docs.spaceandtime.io, help.coinbase.com)

This article breaks down the technology stack, tests the company’s most important claims against public documentation and independent reporting, and weighs the practical opportunities and the risks for WindowsForum readers who care about AI tooling, developer democratization, and on‑chain monetization.

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What Dreamspace actually integrates: the tech stack explained​

Microsoft: Azure AI Foundry and Azure OpenAI — AI with enterprise guardrails​

Dreamspace ties into Microsoft’s modern AI platform: Azure AI Foundry (Microsoft’s unified AI developer platform) and Azure OpenAI (managed access to large foundation models). Azure AI Foundry offers SDKs, model catalogs, and prebuilt templates to accelerate app development; Azure OpenAI supplies the model inferencing engines Dreamspace uses to generate code, assets, and conversational behavior. This provides Dreamspace with a managed, scalable set of models and enterprise features such as authentication, monitoring, and governance. (techcommunity.microsoft.com, learn.microsoft.com)
Why this matters:

• Using Azure AI Foundry gives Dreamspace a production‑grade pipeline for model selection, evaluation, and observability rather than depending solely on ad‑hoc community models.
• Azure OpenAI integration simplifies authentication, billing, and API access for creators who want predictable, supported model performance. (techcommunity.microsoft.com, learn.microsoft.com)

Space and Time: verifiable SQL and Proof‑of‑SQL (ZK)​

Space and Time provides the cryptographic backbone for Dreamspace’s data integrity claims. Its Proof‑of‑SQL system allows SQL queries executed off‑chain to be accompanied by ZK proofs that attest both to the integrity of the underlying data and the correctness of the computation. Prover nodes generate proofs that a verifier (on‑chain contract or client) can check without re‑executing the query, enabling smart contracts to act on complex, tamperproof analytics. This is the foundation of Dreamspace’s “prompt‑to‑SQL” dashboards and on‑chain triggers. (docs.spaceandtime.io)
Key technical takeaways:

• Space and Time parses SQL to ASTs, computes witness data, commits to it, and returns a ZK proof plus the query result for on‑chain verification.
• This decouples heavy computation from lightweight on‑chain verification — a practical tradeoff for real‑time, verifiable data in dapps. (docs.spaceandtime.io)

Base: Coinbase‑incubated Layer‑2 for low‑cost, EVM‑compatible execution​

Dreamspace publishes generated smart contracts and dapps to Base, an OP‑Stack based L2 incubated inside Coinbase. Base offers EVM compatibility, low gas costs, and tight product integration with Coinbase tools — factors that lower friction for creators who want to get users and payments without complicated cross‑chain plumbing. Base is explicitly designed to be developer‑friendly and to support higher throughput than mainnet Ethereum while remaining compatible with standard tooling. (help.coinbase.com, theblock.co)
What documentation and independent reporting show:

• Base is incubated by Coinbase, built on OP Stack, and is positioned as an accessible environment for developers to deploy dapps with low fees.
• Public reporting and network metrics have shown Base handles very high daily transaction volumes and offers transaction costs that are often in the low cents range for common operations — a meaningful difference versus L1 usage. (help.coinbase.com, theblock.co)

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How Dreamspace claims the no‑code flow works (and what’s already visible)​

Dreamspace’s public materials and hands‑on guidance present a simple creator flow:

• Describe the app in natural language (for example: “Create an AI art minter that accepts prompts, generates images, and mints an NFT to the user”).
• The platform generates a scaffolded project: frontend, server glue, and smart contract templates.
• Prompt‑to‑SQL and Space and Time integration provide dashboard and analytics hooks that can be cryptographically verified on‑chain.
• The creator publishes the app to a community marketplace or to the public, and chooses monetization rules (tips, gating, token flows). (blog.dreamspace.xyz)

Core platform features that matter to creators:

• Prompt‑to‑code / prompt‑to‑SQL: natural‑language inputs translate into frontend components, SQL analytics, and contract logic.
• Smart contract generation: templates trained on secure, audited libraries (e.g., OpenZeppelin patterns) are used to avoid common Solidity pitfalls — though Dreamspace recommends audits before mainnet launches.
• Verifiable data: ZK proofs from Space and Time underpin dashboards and any on‑chain logic that depends on off‑chain data.
• Monetization primitives: token gating, micro‑payments, and tips are combined with Base’s low fees for creator revenue. (blog.dreamspace.xyz, docs.spaceandtime.io)

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Independent verification of Dreamspace’s key claims​

To hold the platform’s statements to scrutiny, these are the five load‑bearing claims and the independent corroboration for each:

• Claim: Dreamspace integrates Microsoft Azure AI Foundry and Azure OpenAI.
  Verification: Microsoft documentation and Azure AI Foundry announcements confirm the Foundry SDK and Azure OpenAI are production tools for assembling AI apps and agents; Dreamspace’s own blog and independent reporting list Azure AI Foundry as a core integration. (techcommunity.microsoft.com, blog.dreamspace.xyz)
• Claim: Space and Time provides ZK‑provable SQL queries for verifiable data.
  Verification: Space and Time’s technical documentation explains the Proof‑of‑SQL architecture and prover/verifier model; Google Cloud and other integrations have independently described the Proof‑of‑SQL approach for verifiable queries. (docs.spaceandtime.io, cloud.google.com)
• Claim: Dreamspace runs on Base for low‑cost, verifiable smart contracts.
  Verification: Base is a Coinbase‑incubated L2 built on OP Stack; reporting on Base confirms its low‑fee, EVM‑compatible environment that’s attractive for onboarding creators and users. Dreamspace’s launch coverage and marketing material cite Base explicitly. (help.coinbase.com, u.today)
• Claim: Space and Time (and its backers) include Microsoft’s M12 and Framework Ventures (and that funding supports the infrastructure Dreamspace relies on).
  Verification: Space and Time announced a $20M strategic round led by Microsoft’s M12 in September 2022, confirmed by TechCrunch, Chainwire, and other outlets — a direct tie to the verifiable database used by Dreamspace. (techcrunch.com, chainwire.org)
• Claim: MakeInfinite Labs/Space and Time teams and funding totals (e.g., $50M raised, $20M from M12) as applied to MakeInfinite specifically.
  Verification: The $20M M12 round is documented for Space and Time; however, the broader claim that MakeInfinite Labs has “raised $50M including a $20M investment led by M12 in 2022” is not cleanly documented in major, verifiable outlets under the MakeInfinite name. Public records show Space and Time (the project) raised the $20M round; MakeInfinite Labs appears as the development organization closely associated with Space and Time and appears in public materials as a successor brand, but consolidated fundraising numbers attributed to MakeInfinite require caution. This is a claim that merits caveated treatment because public, independent records do not clearly corroborate the full $50M figure attributed to MakeInfinite Labs. (techcrunch.com, makeinfinite.com)

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Strengths: why Dreamspace could matter for creators and enterprises​

• Democratization of app creation: By pairing robust model infra (Azure AI Foundry) with verifiable data and accessible blockchain deployment on Base, Dreamspace reduces three major frictions: model access, trustworthy data, and on‑chain deployment. This can open AI‑native apps to a far broader set of creators and small teams. (techcommunity.microsoft.com, docs.spaceandtime.io)
• Verifiability and auditability: Space and Time’s Proof‑of‑SQL is a rare practical implementation of ZK verification for SQL workloads. For use cases where contractual payouts or trustless automation depend on analytics (DeFi, RWA settlements, game mechanics), verifiable queries are a game changer. (docs.spaceandtime.io)
• Lower friction for monetization: Publishing to Base — with its Coinbase ecosystem access and low transaction costs — makes microtransactions and token‑gated commerce plausible at scale. Creators can monetize small fees, tips, or gated content without the typical L1 cost barrier. (help.coinbase.com)
• Enterprise‑grade AI ecosystem: Azure’s tooling offers governance, monitoring, and enterprise SLAs that help Dreamspace position itself beyond hobbyist or speculative projects toward enterprise pilots. This is important for corporate adoption where model observability and safety are required. (techcommunity.microsoft.com)

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Risks and unanswered questions​

1) Security — generated smart contracts are a fast path, not a guaranteed safe path​

Dreamspace’s AI can produce smart contract code seeded with secure patterns, but automated generation is not a substitute for audits and careful runtime testing. Generated contracts must still be audited and fuzzed before mainnet handling of value. The platform’s guidance acknowledges this, but real‑world losses happen when creators over‑trust auto‑generated contracts. (blog.dreamspace.xyz)

2) Model reliability, hallucinations, and logic correctness​

AI models can hallucinate or generate logically incorrect code or business logic. When the output includes economic rules or token‑flow logic, a subtle mistake can lead to asset loss. Integrating model output with strong deterministic testing, unit tests, and formal verification for sensitive logic is essential. Azure AI Foundry provides tooling to evaluate and monitor model outputs, but responsibility for final verification rests with creators. (techcommunity.microsoft.com)

3) Data provenance and privacy implications​

Space and Time’s Proof‑of‑SQL enables tamperproof verification, but it also routes queries through a prover network. Teams must consider which data is committed, what metadata is revealed by proofs, and how to protect private inputs. The Proof‑of‑SQL design deliberately avoids revealing raw data to verifiers, but privacy practices and operational configuration remain critical. (docs.spaceandtime.io)

4) Regulatory and compliance uncertainty​

Monetizing creator work with on‑chain payments creates tax, KYC, and consumer‑protection issues. Dreams of frictionless creator economies must navigate local laws. Base’s Coinbase ties may ease fiat on‑ramp access, but regulatory risk is intrinsic to tokenized economic models. (help.coinbase.com)

5) Ambiguities in funding and organizational claims​

Some press and promotional materials suggest aggregated funding figures for related entities (MakeInfinite Labs, Space and Time) that can blur attribution. Public records verify Space and Time’s $20M strategic round led by Microsoft’s M12 in 2022, but claims of a $50M total for MakeInfinite Labs under that name are not uniformly corroborated in major independent filings and should be treated cautiously by investors and partners unless formal disclosures are available. (techcrunch.com, makeinfinite.com)

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Use cases that are credible today (and what they require to be safe)​

Dreamspace’s stack is most promising for these early use cases:

• Creator marketplaces and NFT minters: Prompt‑driven art generators that mint NFTs to wallets are a straightforward fit: low onchain storage, easy to test offchain, and monetizable via fees or royalties. Good practice: use testnets, review generated contracts, and require audits for marketplaces that custody funds. (blog.dreamspace.xyz)
• DeFi dashboards and analytics with verifiable triggers: Protocols that depend on off‑chain computations (e.g., dynamic interest rate or reward curves) can use Proof‑of‑SQL to produce ZK‑verified inputs that smart contracts trust. Good practice: separate high‑value economic effects into auditable, small, and well‑specified contract components. (cloud.google.com)
• DAO tooling and on‑chain governance: Prompt‑to‑SQL dashboards that produce verifiable voting tallies or participation metrics can make DAO governance more transparent. Good practice: ensure proofs and query schemas are public and auditable. (docs.spaceandtime.io)
• On‑chain game mechanics: Play‑to‑earn mechanics that rely on off‑chain telemetry (leaderboards, event triggers) can benefit from verifiable queries for payouts. Good practice: strict rate limits and staged rollouts to prevent exploitable oracle behavior. (docs.spaceandtime.io)

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Practical guidance: if you want to experiment with Dreamspace​

• Start on testnets: build the full app lifecycle in an isolated environment before any mainnet deployment.
• Audit generated smart contracts: use automated linters, static analyzers, and ideally professional audits for any contract that deals with value.
• Monitor model outputs: use Azure AI Foundry’s evaluation and tracing tools to keep an audit trail of every generation step.
• Limit blast radius: keep financial controls and upgradeable or kill‑switch mechanisms in early versions.
• Treat Proof‑of‑SQL as a trust enhancer, not a silver bullet: verify verifier setups and proof configurations for your use case. (techcommunity.microsoft.com, docs.spaceandtime.io)

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Strategic implications for Microsoft, Coinbase (Base), and the broader AI + blockchain ecosystem​

Dreamspace is emblematic of a broader convergence trend where cloud AI providers, verifiable data networks, and low‑cost blockchains interoperate to reduce friction for a new creator economy. The three pieces—model providers (Microsoft), verifiable data (Space and Time), and scalable settlement rail (Base)—form an ecosystem that can enable novel business models beyond traditional SaaS and app stores. (techcommunity.microsoft.com, docs.spaceandtime.io, help.coinbase.com)
For Microsoft, partnerships with builders that marry Azure tooling with blockchains show a strategy to keep Azure at the center of enterprise AI stacks. For Coinbase and Base, enabling frictionless creator monetization is a powerful product play that can bring real user value and network effects. For developers and community builders, Dreamspace is a potential accelerator — provided the industry standardizes on testing, auditing, and verifiability.

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Final assessment and cautionary note​

Dreamspace’s public beta is a credible, well‑resourced attempt to democratize AI‑native app creation by combining three industry‑grade technologies: Microsoft’s Azure AI Foundry and Azure OpenAI, Space and Time’s ZK‑enabled Proof‑of‑SQL, and Base’s low‑cost EVM rails. Independent documentation verifies the technical pieces and confirms the practical plausibility of the claims: Azure AI Foundry exists and is production‑grade; Space and Time’s Proof‑of‑SQL is documented and integrated with major cloud vendors; Base is an active Coinbase‑incubated L2 with low‑cost transactions. (techcommunity.microsoft.com, docs.spaceandtime.io, help.coinbase.com)
However, a sober reading requires these caveats:

• Automatically generated smart contracts still require human oversight and formal security practice.
• Model hallucinations remain a real risk when business logic is produced by generative models.
• Some organizational funding claims tied to MakeInfinite Labs need clearer public disclosure; Space and Time’s $20M round led by M12 in 2022 is documented, but aggregated figures attributed to MakeInfinite should be treated cautiously until independent filings or press releases consolidate them. (techcrunch.com, makeinfinite.com)

Dreamspace lowers the practical and economic barriers to building AI‑first, on‑chain apps — but it does not eliminate the need for security, governance, and responsible deployment. For creators, the platform represents an exciting route to rapid prototyping and monetization; for enterprises and regulators, it raises new questions about auditability, liability, and data governance that must be answered as the AI + blockchain era matures.

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Conclusion: Dreamspace is a credible and potentially influential step toward making AI‑native, on‑chain applications accessible to creators without deep engineering teams. The platform’s real impact will depend on how successfully it combines automated generation with rigorous testing, verifiable data, and prudent economic design — and whether the industry adopts stronger norms for auditing, provenance, and user protection as these no‑code tools proliferate. (blog.dreamspace.xyz, docs.spaceandtime.io, help.coinbase.com)

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Source: AInvest Dreamspace Unveils No-Code AI App Builder Powered by Blockchain and Microsoft AI