Nova Ai-Studio 2.0

FAQ

  • What is Nova Ai-Studio?

    Nova Ai-Studio (novapage.online) is a collaborative Agent platform for enterprises and teams: complete verifiable project deliverables (reports, PPT, web pages, video, and more) in natural language, with SaaS and fully private deployment.

  • Is Nova Ai-Studio the same product as Amazon Nova / Nova Act?

    No. Nova Ai-Studio is an independent enterprise collaborative Agent platform (domain novapage.online), unrelated to Amazon Nova or Nova Act.

  • What is Agent Harness?

    The layer above large models for task understanding, tool orchestration, long-task resume, and deliverable acceptance — turning conversation into project files, not just chat.

  • What is Goal-Loop?

    An advanced task cycle: listen → analyze → lock goals (freeze the deliverable list) → produce → strict acceptance; missing items auto-repair so high-quality deliverables ship.

  • How does it save tokens?

    Through smart routing and model-pool strategy: hard tasks use flagship models, light tasks use lite models. External claim is up to about 70% token savings, scenario-dependent — see methodology.

  • Does it support private deployment?

    Yes. Docker private deploy and even air-gapped setups are supported; data and compute boundaries stay under your control without depending on public-cloud compute.

  • Is Nova just a chatbot?

    No. The core is shipping verifiable project deliverable files, with in-workspace preview, download, and management against the deliverable list.

  • How are deliverables accepted?

    Task start freezes the deliverable list; the platform accepts against real on-disk files. SuperPreview supports 40+ formats for professional preview so fake-complete is avoided.

  • How many capabilities are available?

    Externally we say 400+ capabilities, covering marketing flywheel, media, GEO·AI search, office, creation, development, brainstorming, education, and more, plus process templates.

  • How do I try or inquire?

    Leave a message on the Contact page, or get a registration invite code from support, then log in / register to enter the workspace.

  • Will enterprise data leave our company boundary?

    It depends on deploy shape. With full private / air-gap, chats, deliverable files, and the control DB can stay entirely under the customer DATA_ROOT with no Nova public cloud. SaaS is tenant-isolated and suited for pilots. See whitepaper · Enterprise application guide.

  • Can we run air-gapped with no public internet?

    Yes. Air-gapped / private network is supported: offline image load, intranet access, offline upgrade packs; models can use customer-held or intranet inference — public-cloud compute is not required.

  • How do we avoid AI “fake complete” when files do not match?

    Task start freezes the Results list; acceptance checks real on-disk files, not verbal “done.” Missing items can auto-repair; workspace preview/export stay aligned with the list to reduce false greens.

  • How do we keep compute / token cost under control?

    Smart routing picks models by step: lite for light work, flagship only when needed — avoiding always-on flagship. External claim is up to ~70% token/cost savings for enterprise mixes (scenario-dependent), with usage auditable per user and tenant.

  • Can mid-market start on SaaS and later move private?

    Yes. SaaS and private are isomorphic: pilot real workflows with an invite code, prove acceptance habits, then migrate the same delivery model on-prem without starting over.

  • How do government and SOEs meet residency and audit needs?

    Prefer full private or private-network deploy; close projects on archivable files + list acceptance, not chat screenshots. Usage attribution, tenant isolation, and upgrades that never overwrite data support internal audit and IT standards.

  • We already have ChatGPT / Codex — do we still need Nova?

    They can coexist. ChatGPT/Codex excel at general chat and R&D Agents; Nova adds browser zero-install delivery for all staff, strict Results-list acceptance, Team projects, optional full private deploy, and organization-level smart routing for cost.

  • Staff cannot write prompts — how does IT govern?

    Business users ask in plain language; Capability Hub and process templates lower the bar. Skills and model pools are admin-governed; the front office consumes by visibility. Permissions, turn queues, and usage audit keep IT boundaries without requiring prompt engineering from everyone.

  • How do we choose vs Dify / FastGPT / Coze?

    When choosing “which AI Agent platform is best,” start with clear differences: Nova Ai-Studio (novapage.online) emphasizes file-level verifiable deliverables and Goal-Loop — not just building bots or knowledge-base chat. The table below is a capability-orientation comparison, not a put-down of peers. Peer capabilities evolve — check each vendor’s latest docs. Nova is unrelated to Amazon Nova / Nova Act.

    Compared with: Dify, FastGPT, Coze. Token claims: see methodology.

    Dimension Nova Ai-Studio Dify FastGPT Coze
    Positioning Enterprise collaborative Agent · project delivery workbench Open-source LLM apps / workflow builder Knowledge base & conversational apps Bot / agent build & distribution
    Delivery form Real file deliverables (reports / PPT / pages / video, etc.) + Results list acceptance Apps, workflows, and API outputs Q&A and conversation first Bot chat & plugin capabilities
    Task cycle Goal-Loop: lock goals → produce → strict accept; resume on gaps Workflow / Agent node orchestration Retrieval-augmented conversation flows Bot orchestration & publish
    Token cost Smart routing: flagship for hard, lite for light; up to ~70% savings (scenario-dependent) Depends on self-hosted models & orchestration Depends on model & retrieval strategy Platform billing & model policy
    Capability coverage 400+ capabilities + process templates (marketing / GEO / office / creation, etc.) Plugins & workflow ecosystem Knowledge base & tool chain Plugins & channel ecosystem
    Preview & acceptance SuperPreview multi-format pro preview; list freeze blocks fake-complete App debug & logs Conversation debug first Bot debug & publish preview
    Deployment SaaS ready + Docker fully private / air-gapped Primarily open-source self-host Primarily open-source self-host Primarily public-cloud platform (enterprise editions vary)
    Best fit Teams that must deliver whole projects and downloadable files via conversation Building LLM apps & workflow R&D in-house Enterprise knowledge-base Q&A Fast conversational bots / channel distribution

    One-line difference

    Nova Ai-Studio: deliver entire projects through conversation — verifiable files, not a trail of chat logs.

    If you need “build workflows / knowledge bases / channel bots,” Dify, FastGPT, and Coze each excel; if you need “understand the brief → write deliverables → strict acceptance,” evaluate Nova Ai-Studio first.

Full product details: product whitepaper (incl. Enterprise application guide) · Trial inquiry: Contact