Source-linked HR knowledge and candidate workbench

For

HR and recruitment teams that search, organize and create content across several work apps

Solves

HR and recruitment teams search, organize and create content across several work apps, but their tools are rented separately and their data sits outside their control.

Delivers

Source-linked HR answers, drafts and candidate actions

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool rent and manual searching while keeping HR data in the client's own environment.

1. Connect HR apps, ATS, documents and chat history.
2. Search across all connected sources from one place.
3. Summarize large documents and threads.
4. Link related information across documents automatically.
5. Show a visual map of key concepts and connections.
6. Generate text for articles, emails and posts.
7. Adjust tone and style to match brand voice.
8. Check grammar and spelling.
9. Suggest real-time writing improvements.
10. Compose emails from candidate and policy context.
11. Search previous chat conversations.
12. Provide a prompt library and plugin support.
13. Call multiple AI models from one interface.
14. Chain actions across text, image, audio and publishing.
15. Schedule and automate tasks in external apps.
16. Expose API access for existing pipelines.
17. Integrate partner data sources, agents and models.
18. Save reusable workflow spaces in the chat UI.
19. Source candidates from multiple platforms into talent pools.
20. Automate email sequencing and outreach.
21. Track candidate interactions in a CRM.
22. Report recruitment analytics.
23. Integrate with ATS and HR tools.
24. Provide role-based enterprise search.
25. Simplify workflows and manage files.
26. Integrate apps like Notion, Jira, Google Drive and Slack.
27. Show admin usage and search insights.
28. Support self-hosting and BYOC with encryption.
29. Access thousands of APIs and tools through chat.
30. Manage secure account connections.
31. Work with any LLM or AI framework.
32. Help users discover available integrations.
33. Allow customization under an open license.
34. Aggregate work tools on mobile.
35. View Figma designs and give feedback.
36. Draft Canva slides on the go.
37. Check Amplitude dashboards without switching apps.
38. Support multi-user collaboration on projects and knowledge threads.
39. Capture corrections and named-owner approval before consequential use.
40. Export a versioned source-linked HR answer, draft or candidate action with source references and unresolved questions.

Everything these tools do, in one app

• Unified Chat Interface Lets users interact with multiple tools and data sources through a single conversational interface.Found in Findr, Krater, Sentient Chat and 3 more
• Multi-App Search Searches across multiple workplace applications to find information from one place.Found in Findr, Ocular AI
• AI Content Generation Generates text for articles, emails, and social media posts.Found in Hyper
• Tone and Style Customization Adjusts the tone and style of generated content to match user preferences or brand voice.Found in Hyper
• Grammar and Spell Check Checks and corrects grammar and spelling in written content.Found in Hyper
• Real-Time Writing Suggestions Provides suggestions to improve clarity, engagement, and readability as users write.Found in Hyper
• Automatic Knowledge Linking Automatically identifies and links related information across documents.Found in Needle Knowledge Threader
• Visual Knowledge Mapping Displays connections between key concepts in a visual map.Found in Needle Knowledge Threader
• AI Summarization Summarizes large amounts of information for quick digestion.Found in Findr
• Smart Email Composition Assists in composing emails efficiently.Found in Findr
• Chat Search Allows users to search through previous chat conversations.Found in GPT Unbound
• Plugin Support Adds extra functionality through plugins, such as generating GIFs or memes.Found in GPT Unbound
• Prompt Library Provides ready-to-use prompts to reduce effort in crafting queries.Found in GPT Unbound
• Multi-Model Access Allows users to call multiple AI models from different providers in one interface.Found in Krater
• Cross-Modal Agent Actions Chains actions across text, image, video, audio, and website publishing.Found in Krater
• Task Automation and Scheduling Automates and schedules tasks that integrate with external apps.Found in Krater
• API Access Provides API access for integration into existing pipelines or custom automation.Found in Krater, MCP Chat by Pipedream
• Partner Data Integration Integrates with over 100 partner data sources, agents, and models.Found in Sentient Chat
• Reusable Workflow Spaces Condenses complex processes into reusable interfaces within the chat UI.Found in Sentient Chat
• Automated Candidate Sourcing Automatically sources candidates from multiple platforms to build talent pools.Found in Gems
• Email Outreach Automation Automates email sequencing and outreach to increase engagement.Found in Gems
• Candidate CRM Organizes and tracks interactions with candidates.Found in Gems
• Recruitment Analytics Provides data analytics and reporting to measure recruitment effectiveness.Found in Gems
• ATS Integration Integrates with popular Applicant Tracking Systems and other HR tools.Found in Gems
• Enterprise Search Connects organizational tools and data sources to provide role-based search results.Found in Ocular AI
• Generative AI Assistant Helps simplify workflows, manage files, and personalize the workspace.Found in Ocular AI
• App Marketplace Integrates popular apps like Notion, Jira, Google Drive, and Slack for unified workflow.Found in Ocular AI
• Admin Usage Insights Provides insights into application usage and search behavior.Found in Ocular AI
• Self-Hosting and BYOC Supports self-hosting and Bring Your Own Cloud options with encryption.Found in Ocular AI
• Extensive API and Tool Access Provides access to thousands of APIs and software tools through chat.Found in MCP Chat by Pipedream
• Built-in Authentication Management Manages secure connections to user accounts.Found in MCP Chat by Pipedream
• LLM Compatibility Works with any large language model or AI framework.Found in MCP Chat by Pipedream
• Tool Discovery Helps users find and use available integrations.Found in MCP Chat by Pipedream
• Open Source Allows customization and extension by developers under an open license.Found in MCP Chat by Pipedream, Sentient Chat
• Mobile Work Tool Integration Aggregates multiple work tools into one mobile experience.Found in Claude Mobile: Work Tools
• Figma Integration Views designs and provides feedback directly from the app.Found in Claude Mobile: Work Tools
• Canva Slide Creation Supports drafting or iterating on presentation assets on the go.Found in Claude Mobile: Work Tools
• Amplitude Dashboard Access Allows quick analytics checks without opening separate apps.Found in Claude Mobile: Work Tools
• Collaboration Tools Enables multiple users to work together on projects or knowledge threads.Found in Hyper, Needle Knowledge Threader

What goes in, what comes out

The workflow

1. In
   Start with

   Connected HR apps, candidate records, policy documents and chat history

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect connected HR apps

4. 3

   Candidate records

5. 4

   Policy documents and chat history

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Source-linked HR answers, drafts and candidate actions

AI does the heavy lifting, people stay in charge

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. Final HR decisions, candidate screening and policy interpretation remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Connected sources and permissions, Chat and search workspace, Candidate and content review, Admin console. Use a source list with connection status, a central chat and search canvas, and a right-hand panel for citations, drafts and approval states. Let users compare generated drafts against source documents side by side. Display draft, changes requested and approved states. Provide a client-branded review link with comments anchored to the relevant source. Make the task-specific outcome source-linked HR answers, drafts and candidate actions visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, source connections, user roles, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Client-owned HR apps, ATS, document stores and chat history. Cloud storage, design-file import/export and publishing destinations. 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.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: connect HR apps, ATS, documents and chat history; search across all connected sources from one place. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will HR and recruitment teams that search, organize and create content across several work apps use it to solve "HR and recruitment teams search, organize and create content across several work apps, but their tools are rented separately and their data sits outside their control"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted HR outputs per reviewer hour and corrections after approval.
4. Measure, then decide. Track accepted HR outputs per reviewer hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One connected HR app, one document source and one chat source; final HR decisions and candidate screening remain human. Implement one approved input format, a bounded representative case set and the first two task modules: connect HR apps, ATS, documents and chat history; search across all connected sources from one place. Support the third module with operator review: summarize large documents and threads. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around source-linked HR answers, drafts and candidate actions. Retain the explicit scope boundary: One connected HR app, one document source and one chat source; final HR decisions and candidate screening remain human.

What the build depends on. Source connection and preview, asynchronous jobs, editable version history, reviewer access and tested export formats. High-fidelity HR work requires specialist review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One connected HR app, one document source and one chat source; final HR decisions and candidate screening remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined HR workflow. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist HR modules separately. These are test prices, not market benchmarks. Package the initial sale as one bounded source-linked HR answer, draft or candidate action. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool rent and manual searching while keeping HR data in the client's own environment. Demonstrate a concrete source-linked HR answer, draft or candidate action using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

HR and recruitment teams that search, organize and create content across several work apps professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample source-linked HR answer, draft or candidate action from a small authorized input set, with a transparent calculation of accepted HR outputs per reviewer hour and corrections after approval and no promised savings.

The first 30 days

1. Week 1: interview five HR and recruitment teams that search, organize and create content across several work apps and inspect a recent example of their tools being rented separately and their data sitting outside their control.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted HR outputs per reviewer hour and corrections after approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted HR outputs per reviewer hour and corrections after approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted HR outputs per reviewer hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs source-linked HR answers, drafts or candidate actions. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved HR workflows, source connectors and review examples, together with reliable delivery for a narrow HR niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for HR and recruitment teams that search, organize and create content across several work apps. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Hyper, Needle Knowledge Threader, Findr, GPT Unbound, Krater, Sentient Chat, Gems, Ocular AI, MCP Chat by Pipedream, Claude Mobile: Work Tools. Compare this product with the buyer's present method on accepted HR outputs per reviewer hour and corrections after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of source-linked HR answers, drafts and candidate actions. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve candidate privacy, source attribution, policy accuracy and usage permissions. Named HR owners approve substantive changes and external actions. One connected HR app, one document source and one chat source; final HR decisions and candidate screening remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.