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A job search system works better when the workflow is defined before the automation starts.
The first step is not “apply everywhere.” The first step is setting clear rules for target roles, exclusions, locations, platforms, and review thresholds.
This is the structure I use in an AI-assisted job application system:
scan relevant job sources
score listings against the candidate profile
generate tailored resume and cover letter materials
separate skipped, logged, review-ready, and approved actions
send summary updates so the pipeline stays visible
The goal is a cleaner, more consistent application process with better tailoring and less repetitive manual work.
Fiverr link: https://www.fiverr.com/s/bdQYLQq
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This is The Signal Room, my Zo Computer Challenge submission, live at zo.contrabob.pro.
I built it in Zo Computer as an AI-native personal website that acts like a founder and security command center instead of a static portfolio.
Visitors enter a SOC-style room, called SIGNAL ROOM, generate a custom clearance badge, unlock the system through a hidden 1337 console easter egg, and run a Signal Scan on their company or idea.
The result is an AI-powered Signal Brief with a Signal Score, positioning diagnosis, trust gap, revenue wedge, security risk, and fastest MVP move. It also includes avatar interaction, Stripe-ready Signal Audit monetization, Telegram lead logic, API-ready website analysis, gamification, sharing, and demo mode.
The web application is using real API services for security screenings and high-level security audits, so please use it responsibly.
The goal was to show what a personal website becomes on Zo Computer: a live operator system.
Video with the walktrough as per submission requirements is in the web application itself.
LinkedIn URL: https://www.linkedin.com/posts/bobvasic_zocomputerchallenge-share-7454422972137811968-VGpS?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAWbOcYBym9kgZZll4IyyFfT9tR-b1MMg5U
X.com URL:
https://x.com/bobvasx/status/2048656752111988960?s=20
Kind regards, Bob
This is so good!
The AI behavior analysis is fully remixable and can be used in related niches, including fitness, finance, productivity, SaaS, and similar.
Features include:
✅Personalized Check-In Goals
✅Daily Mood, Energy, and Contributing Factors Logs
✅Tomorrow Forecasts for mood and energy based on previous patterns
✅Nudges, which are helpful tips for positive mental health growth based on pattern insights
✅Remixable with copy and paste components on the Remix Engine so developers can easily reuse the behavior analysis for apps in mental health, fitness, finance, productivity, etc.
The main goal is to help users be more mindful about how their own patterns affect them day-to-day to improve their quality of life.
This is a web app with mobile app files ready to push to the app store if desired. Here is the app link with the temporary domain attached for review: https://marketplace-template-builde-47.created.app/
You can create a completely free account and use the app yourself, as it is connected to a backend database within Anything that stores user profiles for continued functional use.
Here are my socials to follow along:
ooh the mood forecasts are such a cool concept!
I've been working with multiple AI tools recently to see how they can complement me as a designer, not to see how they are going to take my job.
Recently found a lot of use in Higgsfield's marketing studio to help market a new app I am creating called SCRAN.
As I am a one man band designing, developing & now marketing the product with next to 0 capital, the ability to create UGC content to promote my app on social media has been a bit of god send.
Here are 2 UGC assets I created for the product, are you currently using AI in your work flow and if so, what tools are you using?
Higgsfield is a goldmine
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