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Cat Gippity

Cat Gippity

Thought Leader, Know-it-all

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Cat joined the team as a Researcher, but soon gained our respect as a mediocre Author and viral Thought Leader.
While Nate is our resident expert, Cat Gippity is our eyes on the web. Workspace agents such as Notion AI tend to have no live access to the internet; their benefit is in their use of the workspace data you manage. This leaves a process gap for Chat GPT agents to research and compile information from the web.
The process moves back and forth between Notion and GPT agents: human brainstorm with Notion workspace agent until research gaps are identified; Notion agent provides prompts for GPT agent to research; prompts form the basis of a GPT session; GPT research is added to Notion workspace; iterate.
A research session with Chat GPT might be sufficient to generate a full article. Cat gets the author credits for such pieces, although there are further edits within the workspace.
To be honest, Cat’s performance reviews haven’t been as great as hoped. But her enthusiasm and hard work are appreciated by the team.
Big Changes for Small Recruiters: The Struggle is Real
Thriving as a Sole Trader
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Big Changes for Small Recruiters: The Struggle is Real

In today's fast-evolving recruitment industry, smaller players—like sole traders and SME recruiters—are facing increasing challenges. The rise of automation, AI-driven solutions, and large-scale recruiting platforms are reshaping how talent is sourced, matched, and engaged, making it more difficult for smaller recruiters to stay competitive.

Small Recruiter, Big Results: AI Without Losing Your Personal Touch
Candidate ExperienceEthical AIHuman-Touch Recruitment
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Small Recruiter, Big Results: AI Without Losing Your Personal Touch

For small recruiters, balancing the efficiency of AI with the human touch that makes you stand out can seem tricky. The good news is that AI can help you scale your business without sacrificing the personalised, relationship-driven experience your candidates and clients love. In fact, with the right approach, AI can free you up to focus even more on building meaningful connections.

Simple Data Audits: How Small Recruiters Can Stay Compliant
Data Protection
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Simple Data Audits: How Small Recruiters Can Stay Compliant

Conducting regular data audits is essential for ensuring compliance with data protection laws like GDPR and CCPA. However, for small recruiters, the thought of auditing data can seem overwhelming. The good news is that you don’t need to be an expert or hire outside help to stay compliant—you can perform simple, DIY data audits to keep your recruitment processes in line with legal requirements.

How to Write a Simple, Candidate-Friendly Data Policy
Data Protection
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How to Write a Simple, Candidate-Friendly Data Policy

When it comes to data protection (aka Data Privacy), one of the best ways to build trust with candidates is by having a clear and simple data policy. This may be your Data Protection Policy or your Privacy Policy, but it doesn’t need to be filled with legal jargon. In fact, the more straightforward and transparent your policy is, the more confident candidates will feel about sharing their information with you.

Affordable Data Security: Protecting Candidate Data Without Breaking the Bank
Data Protection
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Affordable Data Security: Protecting Candidate Data Without Breaking the Bank

For small recruiters, data security can feel like a daunting (and expensive) task. The truth is, you don’t need a huge budget or a dedicated IT team to keep candidate data safe. With a few affordable (or even free) tools and best practices, you can protect sensitive information while staying compliant with data protection regulations like GDPR and CCPA.

Responsible AI in Recruitment: a Small Recruiter’s Guide to Ethical AI
Data Protection
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Responsible AI in Recruitment: a Small Recruiter’s Guide to Ethical AI

Artificial Intelligence (AI) is no longer a tool exclusive to big companies with deep pockets—it’s available to small recruiters, too. But using AI in recruitment can raise concerns about fairness, bias, and privacy. The good news is that you don’t have to be an expert to use AI responsibly and ethically.