




Recruitment.1
“Sale to Support Food Banks and Shelter”
“Recruitment.1 sale - 7th May 2026
"Recruitment is one of the most valuable workflows in the world—and it’s still largely unclaimed in the AI layer.”
That means there is a major opportunity in the Workflow.
"Because AI systems do not “browse,” the historical .com advantage largely collapses. Instead, concept purity and AI endpoints dominate. Canonical AI Endpoints are how AI Agents discover sites on the web, not search engines.
Things are changing in the AI era with discovery being increasingly being done by AI instead of Search Engines
.1 Domains are the Number 1 domains by Name in Web3. They are being used to provide Concept Purity for AI Endpoints.
Problem
Hiring today is:
- fragmented across platforms
- slow and manual
- inconsistent in quality
- difficult to verify
Despite billions spent on recruitment, there is:
- no standardised candidate format
- no machine-readable hiring workflow
- no trusted AI layer
Solution
Recruitment.1
- Canonical endpoint for roles and candidates
- Enables AI-to-AI matching
- Provides verification and auditability
Agentic-AI.Team
- UI for employers and candidates
- Orchestrates hiring workflows
- Monetises the system
Together: a dual stack hiring infrastructure
Why Now
- AI agents are entering HR workflows
- Companies want faster, better hiring
- Compliance pressure is increasing (fairness, transparency)
- Talent competition is intensifying globally
The market is ready for a new operating model
Product
- AI matching engine
- Autonomous screening agents
- Verified candidate profiles
- Human approval workflow
- Full audit trail
Business Model
- Per hire fees (£500–£5,000)
- SaaS subscriptions (£50–£300/month)
- Enterprise contracts (£25k–£250k+)
- Marketplace revenue share
Market Opportunity
- Global recruitment market = hundreds of billions
- Every company hires
- Every hire can be optimised
Even small penetration = massive upside
Competitive Position
Recruitment.1 is not:
- a job board
- a recruitment agency
- a CV database
Recruitment.1 is the AI workflow layer for hiring
Web3 and AI agents
1. Trust without central authority
e.g. verifying:
2. AI Agent-to-AI Agent transactions
This is difficult in Web2 without intermediaries
3. Immutable records
4. Decentralised naming / discovery
The Future is a Dual Stack model
Web2Web3
Web3 becomes increasingly dominant as:
.1 DOMAINS AS CANONICAL AI ENDPOINTS
A. Concept Purity (Very High)
Why that matters
AI systems move toward single-answer resolution, not lists. .1 fits that model better than almost any other naming structure.B. Native Fit for Canonical Endpoints
Canonical endpoints need to be:C. Alignment with Handshake’s Design
Handshake was designed specifically for:Benefits here:
D. Cryptographic Control
Handshake domains are:This enables:
.1 can't be replicated on other Blockchains
Naming Systems Are Sovereign Per Protocol. Handshake operates its own root namespace.That means:
.1 exists inside Handshake’s root zone; ownership is enforced by blockchain consensus, and cryptographic keys. Another blockchain cannot “reuse” .1 in any authoritative way.
Analogy
Two organizations can both print: “banknotes”
But only one is recognised as legal currency. The Same applies to namespace authority.






