Mine is a head-hunting firm. I would like to create PERSONAL AI ASSISTANTS for 6 / 8 of our senior executives. These could be in the nature of ( 1 ) Client Facing AI Agent ( 2 ) Candidate Facing AI Agent ( 3 ) Colleague Facing AI Agent // Would you be able to create these agents ? If yes , how do you propose to start ?
Virtual Avatar replied :
Creating personal AI assistants for your senior executives is certainly feasible and aligns well with the innovative approaches we've discussed previously, such as integrating AI into enterprise activities to streamline processes.
Here’s how I propose we start:
1. **Requirement Gathering**: We'll conduct detailed interviews with the six to eight senior executives to understand their specific needs and expectations from the AI agents. This will include identifying key functionalities for each type of agent: Client Facing, Candidate Facing, and Colleague Facing.
2. **Workflow Analysis**: Similar to our previous discussions on mapping workflows (as mentioned in my message about developing and implementing AI agents), we need a thorough analysis of current interactions handled by these executives. This will help in designing tailored solutions that fit seamlessly into existing operations without disrupting workflow.
3. **Design & Prototype**: Based on the requirements and workflow analysis, we’ll design prototypes for each type of agent. These prototypes will be focused on handling typical scenarios encountered by your executives.
4. **Development & Integration**: Leveraging platforms compatible with FILEFINDER—since integration compatibility was a concern noted earlier—we'll develop these agents using suitable AI technologies like Microsoft Azure AI or AWS AI Services which were considered during our prior strategy sessions.
5. **Testing & Training**: Before full deployment, these agents will undergo rigorous testing within controlled environments to ensure they perform as expected across various scenarios presented during the requirement gathering phase.
6. **Deployment & Feedback Loop**: Post-testing, these agents will be deployed while establishing a continuous feedback loop with the executives to refine functionalities based on real-world usage insights.
This structured approach should effectively address creating personalized AI assistants tailored specifically for your firm's needs while ensuring smooth integration and functionality aligned with business objectives.
From: Mitchelle Shetty [mailto:mitchelle@
Sent: 15 January 2025 12:58
To: Hemen Parekh; Nirmit Parekh
Cc: System Admin
Subject: RE: EXploring Capabilities of API of Personal.ai
Noted Sir. Thanks for sharing.
As advised we will not upload any additional resumes currently.
Warm Regards,
Mitchelle Shetty
+919867550810
3P Consultants
From: Hemen Parekh <hcp@recruitguru.com>
Sent: 15 January 2025 12:53
To: Mitchelle Shetty <mitchelle@3pconsultants.co.in
Cc: System Admin <systemadmin@3pconsultants.co.
Subject: RE: EXploring Capabilities of API of Personal.ai
CAUTION: This email originated from outside the organization. Do not click links or open attachments unless you recognize the sender and know the content is safe. |
And here is what ChatGPT answered :
Share
You said:
ProfilesSampleNonIT (16).doc
Document
Suppose I give you access to 100000 resumes, would you be able to generate profiles like this one for each resume?
ChatGPT said:
ChatGPT
Yes, I can generate similar profiles for each resume in your dataset. The profiles would include graphs and statistics such as:
- Function/Industry Profile: The top three functions or industries for the candidate, along with their relative standing compared to others in the same field.
- Salary Profile: A graph showing the candidate's salary in comparison to peers, indicating overpayment or underpayment.
- Tenure Profile: Analysis of career stability or job-hopping tendencies.
- Career Profile: A timeline of career progression, highlighting key milestones.
- Education Profile: Academic trajectory, with timelines and degrees.
- KarmaScope: A list of keywords that represent the candidate's knowledge and expertise.
To achieve this, I would need:
Structured data extraction: Parsing the resumes to extract relevant information such as job roles, education, skills, and achievements.
Database for comparisons: A dataset or benchmarks to compare salaries, tenure, and functional roles.
Visualization tools: To create graphs and percentile distributions.
Do you want assistance with creating the processing pipeline or setting up the system to handle this large-scale profile generation?
From: Hemen Parekh [mailto:hcp@recruitguru.com]
Sent: 15 January 2025 12:27
To: Mitchelle; nirmit@3pconsultants.co.in
Cc: System Administrator; hcp@recruitguru.com
Subject: EXploring Capabilities of API of Personal.ai
Mitchelle ,
Continuing my search for an AI suited for 3P , last evening I posed 7/8 questions to my Virtual Avatar , re those 150 resumes that you said you got uploaded on Personal.ai
As you are aware , my Virtual Avatar is powered by an API from Personal.ai ( which , in turn , is powered by GPT 3.5 API of ChatGPT )
I asked 2 / 3 more questions to my Avatar this morning
To all of my questions, I got surprisingly INSIGHTFUL answers – difficult to believe !
You can read those answers by touching any of my questions at > Recently Asked Questions ( search MENU )
Here is the latest :
My Question :
“I attach link to my blog " Tenure Profile " . If I were to upload on Personal.ai , say 100,000 resumes of executives , would you be able to generate such profiles with tenure of a given executive , superimposed on it , in order to decide whether he is a job jumper , as compared with the population >https://myblogepage.blogspot.
My Avatar replied :
“Yes, if you upload 100,000 resumes of executives on Personal.ai, I can generate "Tenure Profiles" for each executive. These profiles will show the tenure of a given executive superimposed on a comparative population graph. This will help in determining whether an individual is more of a 'job jumper' or exhibits stability similar to a 'contented cow', by comparing their job tenure against the statistical data represented through mean and sigma values from the collective resume data. “
Whereas you might experiment with these 150 resume upload , pl do NOT upload any more till we discuss further
hcp
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