AI app for sales · no coding needed
Natural-language professional search and enrichment console
Reduce the number of tools and manual steps needed to find and qualify professionals.
Made for: Sales, recruiting and research teams that find and qualify professionals across large profile databases or connected accounts
What it does for you
The problem
Finding the right professionals across several profile databases and connected accounts requires separate subscriptions, manual filters and scattered verification.
What it gives you
Reviewed, source-linked candidate list with verified contact details and intent signals
What you give it
Permitted profile sourcesconnected account dataenrichment rulesoutreach constraints
Build your own version of People Search GPT by Redrob, Clado Atlas and more
One app with what these 5 AI tools do, yours to keep and change: People Search GPT by Redrob, Clado Atlas, Clado, Happenstance, Lev8.
Everything these tools do, in one app
- Natural language search Allows users to describe the person they want to find in plain language instead of using complex filters.Found in People Search GPT by Redrob, Clado Atlas, Clado and 2 more
- Large profile database Provides access to a vast collection of professional profiles from multiple sources.Found in People Search GPT by Redrob, Clado Atlas, Clado
- Verified contact details Supplies verified phone numbers, emails, and social links for the people found.Found in People Search GPT by Redrob
- AI-powered insights Offers AI-generated insights about matches to help users better understand prospects.Found in People Search GPT by Redrob, Clado Atlas
- Profile enrichment Adds deeper information and context to profiles beyond basic details.Found in Clado Atlas, Lev8
- Team collaboration Enables teams to share research and data within a collaborative workspace.Found in Clado Atlas
- Alumni search Specialized search to find students and graduates across universities.Found in Clado
- Cross-account indexing Indexes contacts and interactions from connected email, calendar, and social accounts.Found in Happenstance
- Friend and group sharing Extends searches into trusted contacts' networks to find warmer introductions.Found in Happenstance
- Live web search Crawls public web sources in real time to find people and companies.Found in Lev8
- Identity verification Cross-references details and provides source links so users can verify information.Found in Lev8
- CSV enrichment Uploads a CSV and appends additional data points from multiple sources.Found in Lev8
- Intent signal monitoring Scores signals like job changes or funding events for urgency and fit.Found in Lev8
- Multi-channel outreach Sends personalized messages through connected accounts with paced sending.Found in Lev8
- Workflow integrations Connects with sales, hiring, spreadsheet, and collaboration tools to keep results in existing workflows.Found in Clado Atlas, Happenstance
- Free tier Offers free access to core features for exploration and low-volume use.Found in Clado Atlas, Clado, Happenstance and 1 more
How it works, step by step
- Accept natural-language descriptions of the person to find
- Search permitted large profile databases and connected accounts
- Return verified phone numbers, emails and social links with source links
- Generate AI insights about each match
- Enrich profiles with deeper context beyond basic details
- Share research and data in a team workspace
- Run specialized alumni searches across universities
- Index contacts and interactions from connected email, calendar and social accounts
- Extend searches into trusted contacts' networks for warmer introductions
- Crawl public web sources in real time for people and companies
- Cross-reference details and show source links for identity verification
- Upload a CSV and append data points from multiple sources
- Score intent signals such as job changes or funding events for urgency and fit
- Send personalized messages through connected accounts with paced sending
- Connect results to sales, hiring, spreadsheet and collaboration tools
- Offer a free tier for exploration and low-volume use
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, source-linked candidate list with verified contact details and intent signals, 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 Natural-language professional search and enrichment 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 Natural-language professional search and enrichment 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 Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data198 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 the number of tools and manual steps needed to find and qualify professionals. For sales, recruiting and research teams that find and qualify professionals across large profile databases or connected accounts, convert natural-language queries, permitted profile sources, connected account data and enrichment rules into a reviewed, source-linked candidate list with verified contact details and intent signals. The benefit is a testable hypothesis, measured through qualified candidates per research hour and verified-contact accuracy; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted profile sources, connected account data, enrichment rules and outreach constraints, then follow this sequence: 1. Accept natural-language descriptions of the person to find. 2. Search permitted large profile databases and connected accounts. 3. Return verified phone numbers, emails and social links with source links. 4. Generate AI insights about each match. 5. Enrich profiles with deeper context beyond basic details. 6. Share research and data in a team workspace. 7. Run specialized alumni searches across universities. 8. Index contacts and interactions from connected email, calendar and social accounts. 9. Extend searches into trusted contacts' networks for warmer introductions. 10. Crawl public web sources in real time for people and companies. 11. Cross-reference details and show source links for identity verification. 12. Upload a CSV and append data points from multiple sources. 13. Score intent signals such as job changes or funding events for urgency and fit. 14. Send personalized messages through connected accounts with paced sending. 15. Connect results to sales, hiring, spreadsheet and collaboration tools. 16. Offer a free tier for exploration and low-volume use. Resolve uncertain cases with qualified reviewers, approve the reviewed, source-linked candidate list with verified contact details and intent signals, and measure qualified candidates per research hour and verified-contact accuracy 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. Final identity verification, outreach approval and data-use decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, contact accuracy, consent and usage permissions. Named owners approve outreach and data use. One permitted profile source and one connected account type; final identity verification, outreach approval and data-use 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 permitted profile source and one connected account type; final identity verification, outreach approval and data-use decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept natural-language descriptions of the person to find; search permitted large profile databases and connected accounts. Support the remaining modules with operator review. 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
Buyer-owned profile sources, authorized connected accounts and permitted public web sources. Cloud storage, CSV import/export, sales, hiring, spreadsheet and collaboration tools. Start with file exchange and validate destination specifications before promising direct synchronization. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Query and source setup, Searchable result library, Profile and evidence view, Data stewardship console. Use a search bar for natural-language queries, a filterable result table with saved searches, and a right-hand panel for profile details, source links, enrichment fields and review state. Let users compare candidates side by side. Display draft, needs review, verified and rejected states. Provide a shared team workspace with comments and export. Make the task-specific outcome a reviewed, source-linked candidate list with verified contact details and intent signals visible beside its evidence, review state and value baseline.
