AI app for it and development · no coding needed
Cross-tool source-linked knowledge assistant console
Reduce search and answer time while keeping source links and permissions intact.
Made for: IT, support and operations teams answering questions from information scattered across their work tools
What it does for you
The problem
Answers live in many connected tools, so staff search manually, miss context and repeat work.
What it gives you
Source-linked answers with named-owner approval
What you give it
Connected tool contentteam questionspermission rules
Build your own version of Super, GoSearch and more
One app with what these 6 AI tools do, yours to keep and change: Super, GoSearch, GoSearch Free, Knowlee AI, Directory by Claude, Pensieve.
Everything these tools do, in one app
- Multi-source search Searches across multiple connected tools and data sources to find relevant information in one place.Found in Super, GoSearch, GoSearch Free and 1 more
- AI-powered search Uses AI to improve the accuracy and relevance of search results.Found in Super, GoSearch, GoSearch Free
- Customizable AI assistants Allows users to tailor AI assistants to specific workflows and team needs.Found in Super
- Automated digests Generates reports and documentation automatically.Found in Super
- Bulk query processing Handles large volumes of queries simultaneously, useful for RFPs and security questionnaires.Found in Super
- Integration via APIs Embeds assistants into existing workflows and web applications through APIs, MCP, and Zapier.Found in Super
- Customizable filters Provides user-friendly filters to refine search results.Found in GoSearch
- Real-time query suggestions Offers real-time suggestions to refine search queries as you type.Found in GoSearch
- Privacy-focused settings Includes secure search options with privacy-focused settings.Found in GoSearch
- Federated search Searches across connected applications in real-time without central data indexing.Found in GoSearch Free
- Personal AI agent Summarizes documents, analyzes content, and automates recurring tasks.Found in GoSearch Free
- No data duplication Connects directly to data sources without duplicating data, enhancing security.Found in GoSearch Free
- Autonomous AI agents Performs tasks and provides insights independently without manual intervention.Found in Knowlee AI
- Customizable AI learning Adapts based on the information provided by the user to improve results.Found in Knowlee AI
- Content creation support Assists with creating content and performing in-depth data analysis.Found in Knowlee AI
- One-click integrations Connects to third-party tools with a single click, eliminating setup barriers.Found in Directory by Claude
- Contextual understanding Enables the AI to access project details, understand deadlines, and interact within connected apps.Found in Directory by Claude
- Knowledge graph mapping Ingests and links entities across systems to make relationships between people, projects, decisions, and customers explicit.Found in Pensieve
- Bring-your-own inference Works with Anthropic, OpenAI, or Google models so teams control which model runs queries and inference.Found in Pensieve
- Real-time updates Uses subscriptions and background workers to surface new insights as source systems change.Found in Pensieve
- Permission-aware architecture Supports per-user organizations and explores source-level permission tagging with retrieval-time filtering.Found in Pensieve
How it works, step by step
- Connect tools and data sources
- Search across connected sources in one place
- Rank results with AI relevance scoring
- Tailor assistants to team workflows
- Generate automated digests and reports
- Process bulk queries for RFPs and questionnaires
- Embed assistants through APIs, MCP and Zapier
- Apply customizable filters to refine results
- Offer real-time query suggestions
- Apply privacy-focused search settings
- Run federated search without central indexing
- Summarize documents and automate recurring tasks
- Connect without duplicating source data
- Run autonomous agents for routine tasks
- Adapt results from user-provided information
- Support content creation and data analysis
- Add one-click integrations
- Read project context and deadlines
- Map entities into a knowledge graph
- Use bring-your-own inference models
- Surface real-time source updates
- Enforce permission-aware retrieval
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned source-linked answer set with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Cross-tool source-linked knowledge assistant console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Cross-tool source-linked knowledge assistant console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce search and answer time while keeping source links and permissions intact. For IT, support and operations teams answering questions from information scattered across their work tools, convert connected tool content, team questions and permission rules into source-linked answers with named-owner approval. The benefit is a testable hypothesis, measured through answer time per resolved question and corrections after approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect connected tool content, team questions and permission rules, then follow this sequence: 1. Connect tools and data sources. 2. Search across connected sources in one place. 3. Rank results with AI relevance scoring. 4. Tailor assistants to team workflows. 5. Generate automated digests and reports. 6. Process bulk queries for RFPs and questionnaires. 7. Embed assistants through APIs, MCP and Zapier. 8. Apply customizable filters to refine results. 9. Offer real-time query suggestions. 10. Apply privacy-focused search settings. 11. Run federated search without central indexing. 12. Summarize documents and automate recurring tasks. 13. Connect without duplicating source data. 14. Run autonomous agents for routine tasks. 15. Adapt results from user-provided information. 16. Support content creation and data analysis. 17. Add one-click integrations. 18. Read project context and deadlines. 19. Map entities into a knowledge graph. 20. Use bring-your-own inference models. 21. Surface real-time source updates. 22. Enforce permission-aware retrieval. Resolve uncertain cases with qualified reviewers, approve source-linked answers with named-owner approval, and measure answer time per resolved question and corrections after approval against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed source set and permission model; final answers and access decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, permission boundaries and usage permissions. Named owners approve substantive answers and access scope. One fixed source set and permission model; final answers and access decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed source set and permission model; final answers and access decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: connect tools and data sources; search across connected sources in one place. Support the remaining modules with operator review: rank results with AI relevance scoring; tailor assistants to team workflows; generate automated digests and reports; process bulk queries for RFPs and questionnaires; embed assistants through APIs, MCP and Zapier; apply customizable filters to refine results; offer real-time query suggestions; apply privacy-focused search settings; run federated search without central indexing; summarize documents and automate recurring tasks; connect without duplicating source data; run autonomous agents for routine tasks; adapt results from user-provided information; support content creation and data analysis; add one-click integrations; read project context and deadlines; map entities into a knowledge graph; use bring-your-own inference models; surface real-time source updates; enforce permission-aware retrieval. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Customer-owned connected tools, authorized documents and permitted research sources. Cloud storage, identity providers and destination tools. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Connected sources and permissions, Assistant and query console, Answer review and delivery. Use a source list with connection state, a central query and answer canvas, and a right-hand panel for filters, citations and comments. Let users compare answers side by side. Display draft, changes requested and approved states. Provide a shareable answer link with citations anchored to the source record. Make the task-specific outcome source-linked answers with named-owner approval visible beside its evidence, review state and value baseline.
