#LinkedIn automation software

[neebifytool]

How to use bard?

Bard is a new AI chatbot from Google which promises to be the source of real-time information and conversational answers to most questions. To deliver coherent, context-aware responses, it relies on Google's Language Model for Dialogue Applications, LaMDA. Bard is fantastic when the topic of interest deals with current events or information that constantly updates-and could answer anything from trivia to facts. It has entered the competitive landscape of AI-driven tools like OpenAI's ChatGPT and Microsoft's Bing AI.

A person can get access to Bard through the Google website and also by searching for "Google Bard" in a browser. After accessing Bard, one can ask questions, make the most of the conversation, receive immediate responses, and share responses for productivity.

On a PC, users access Google Bard via the browser interface. Open Google Chrome, Firefox, or Edge and go to the Google Bard website. Sign in to your Google account to get personalized answers and recall conversation history.

It's pretty easy to start a conversation by starting with Bard, and the users can save the page as a bookmark so as not to visit again.

Bard has gained popularity among students and professionals and curiously inquisitive minds seeking help or information that have quite proved useful.

Google Bard is an AI-powered chatbot that can be accessed directly via a web browser or downloaded from the Google Bard website. To access Bard on the phone, one shall go to the mobile browser and visit the website of Google Bard. Log in using your Google account; type out your question; and activate voice search. To use Bard with Google: Ensure it is available in your location. Please have the latest version of Google Chrome available. Always ensure that you are logged into your Google account. Verification of your privacy settings.

If Bard is not available, some regions have integrated it into Google Search. Open its interface, type your question, try specific queries, ask follow-up questions, and test creative features to ask questions to Bard. Bard can be used for simple routine tasks, challenging questions, and creative work.

Therefore, Google Bard is a friendly and approachable AI chat that tends to make information retrieval as easy as it can be for people. It is decidedly different from any other search engine since it captures real-time data and gives conversational responses. Useful tool for the simplest of tasks or more creative pursuits: Google Bard is an excellent tool in different uses, ranging from mundane day-to-day errands to creative activities, all set for accessing basic tasks or questions that are complex.

[quickleadsolutions]

Effortlessly extract high-quality leads, engage prospects with smart automation, and convert more customers — all in one powerful platform like LinkedIn automation software designed to fuel your sales growth.

[dilawarmalik]

[roseband]

oh my god i don't speak to my dad anymore cuz hes nutty but i know what he does for a living

and musk is currently pulling a "the software govs use is 50 years old which means there can be no advances"

and that's..... that's what my dad does for a living, he gets paid 500-1k an hour to make software that specifically communicates with old legacy software cause he's a 90s dev who knows the old languages still and it's more efficient to hire a freak who knows how to make something to bridge between the old and new programs than to fully trash the old system

like there's literally consultants that get hired for that specific purpose and as a software guy musk KNOWS this

[leadethuk]

How Can Small Businesses Benefit From Using Lead Generation Tools?

Small businesses can use lead generation tools to attract potential customers, boost sales, and grow their audience by automating the process of finding, tracking, and nurturing leads effectively. A small business owner finds it quite cumbersome and time-consuming to look for good leads. Lead generation software is able to systematise this process in order to allow for more efficient work in finding and engaging prospective clients. Read More: https://qr.ae/p2AQGS

[remotejoboffers]

How I Got Multiple Remote Job Offers Without Relying on Job Boards

Hey everyone,

Just wanted to share my experience in case anyone else is struggling with remote job hunting. A few months ago, I was frustrated. I kept applying, but nothing worked. No offers, barely any interviews.

So I changed my approach, and it actually worked.

A bit about me

I’m a software engineer. I’ve been working full-time for years, and a few months ago, I started looking for a part-time remote job. At first, it was casual, but due to personal stuff, it became more urgent.

Like many people, I started with LinkedIn and even paid for Premium. I applied to many jobs, got a few interviews, but no solid results. After five months, I felt stuck and knew I needed a different method.

Step 1: Europe - Google Maps + Manual Outreach

I searched for recruitment agencies in Europe using Google Maps. I zoomed into countries like the UK, Germany, and the Netherlands and typed "recruitment." Tons of agencies popped up, and many had websites with resume upload options.

I created an Excel list of over 450 agencies across Europe and sent my resume to each of them. It took two days, but it worked.

I also prepared two versions of my resume, one with a photo for Europe and one without for the US and Canada.

Step 2: US and Canada - Resume Tool

For companies in the US and Canada, I used this tool that helps you build a professional resume and send it to hundreds of companies at once. It targets both HR departments and recruitment firms.

I sent my no-photo resume to over 370 companies in a single click. The tool also gave me tips for writing each section, which made the whole process easier. Rabbit Resume Builder also includes an ATS-Hack feature. This tool embeds relevant but invisible keywords into your resume, helping it pass automated filters without affecting the layout or readability. The result is a resume optimized for both ATS systems and human reviewers.

The Results

Soon after, I started getting responses. I had interviews and received four job offers. I accepted two remote part-time jobs. One is three hours a day, the other is two.

I also kept my full-time job. At first, managing everything was tough, but I found a rhythm. Now, I have more income and more stability.

Source: https://www.reddit.com/r/RemoteJobseekers/comments/1fdpeg2/how_i_landed_multiple_remote_job_offers_my_remote/

[klapollo]

some basic tips for getting a job in this horrible market

hi all -- long story short, as many of you know, i just finished a three+ month job search after being laid off. here's what i learned:

Your resume should be your accomplishments, not your tasks. When I started searching, my bullet points in my resume were things like "used x software" or "wrote x content." Your resume should be you bragging. EX: "I used x software to turn around 100 deliverables a month," "I managed [x amount] sales associates and was named highest commission earner x months in a row." These don't have to be lifechanging things or massive projects -- any metric that demonstrates your capabilities well can do the job.

Make sure your resume is ATS optimized. Most jobs/companies use automated resume processing, and lots of great people get rejected this way. If you're getting rejection emails on Sunday morning or in the middle of the night, these are probably auto-rejections. ATS is the automatic system that sifts through resumes -- you can find free ATS-optimized templates online, I got min through resume.com. Do NOT use fancy graphics, headshots, any extraneous info. Use sites like jobscan to see if your resume is able to be parsed by an auto resume processor.

Use numbers. Make sure your resume has lots of numbers indicating your skills. "I helped my franchise achieve X% of revenue growth," "I drove x amount of deliveries daily." Any impressive numerical amounts are useful. If your company is tight-lipped about numbers, go to press releases. Ex: an app I did a considerable about of work for generated a lot of money that my company disclosed, so I put down that i contributed to that revenue via my work.

Have a template cover letter. Cover letters can give you an advantage, but they're tedious. Take note of what qualities are most sought-after in your field/ideal role, and write a generic cover letter that applies to most of them. When applying, do minor tweaks such as including the company name or any unique qualifications. Be careful about typos and leaving in old tweaks!

Use the free month of LinkedIn Premium if you're on there. I got some results from cold DMing recruiters for jobs I was interested in, and Premium lets you do that freely. Remember to cancel at the end of the month!

If you're looking for remote work, here are some boards I used: Remote.co, Otta, Remote Rocketship, Swooped, Best Writing (writing-focused)

[neebifytool]

How We Helped Businesses Succeed with Simple Automation Tools?

Neebify is the automation tool that integrates with a user's CRM system to automatically send connection requests, lead follow-ups, and messages to prospects. Such activities allow a company to focus on more strategic matters, such as closing deals, and improve its relationship with customers. Neebify integrates seamlessly with CRM systems, enhancing lead management and automatically forwarding updates directly to the CRM.

Business success is dependent on automation, as it enhances productivity, consistency, scalability, and better accuracy. It even makes managing LinkedIn outreach less laborious and more scalable.

Neebify has been offering quite a lot of benefits: Automated LinkedIn outreach, seamless lead management, personalization at scale, tracking and analytics, time savings, and cost savings.

Automated LinkedIn Outreach: Neebify makes connection requests, follow-up messages, and messaging easy for businesses to perform by removing all the manual efforts on a connection basis. It automates scheduled, personalized messaging with prospect leads, ensuring that no lead falls through the cracks.

CRM Integration to lead management: Neebify will be in charge of CRM system integration while tracking leads so that a sales team could undertake action on the lead without recording data manually, which implies proper workflow and fewer errors.

Scalable personalization: It allows businesses to personalize messages on LinkedIn on a scale, enabling them to reach vast audiences with the human touch.

Tracking and analytics: Neebify offers accurate statistics on LinkedIn outreach, enabling businesses to make informed decisions about their outreach strategy and tailor their message to achieve the desired result.

The automation of LinkedIn outreach and integration with CRM systems will be a fundamentally important task for the future business. It allows businesses to maximize their efforts at lead generation and sales results while concentrating on more strategic tasks. In the future, businesses will free labor from mundane procedures and focus on much more strategic tasks.

Bottom line: Neebify automates simple lead generation for businesses, so they can drive more sales by reaching out to people in a personalized manner, enabling them to make use of CRM seamlessly and provide stronger analytical data. It has integrated with CRM and analytics, which makes it necessary for businesses of all sizes.

[quickleadsolutions]

Quicklead - Best tools for LinkedIn lead generation

[mariacallous]

On February 10, employees at the Department of Housing and Urban Development (HUD) received an email asking them to list every contract at the bureau and note whether or not it was “critical” to the agency, as well as whether it contained any DEI components. This email was signed by Scott Langmack, who identified himself as a senior adviser to the so-called Department of Government Efficiency (DOGE). Langmack, according to his LinkedIn, already has another job: He’s the chief operating officer of Kukun, a property technology company that is, according to its website, “on a long-term mission to aggregate the hardest to find data.”

As is the case with other DOGE operatives—Tom Krause, for example, is performing the duties of the fiscal assistant secretary at the Treasury while holding down a day job as a software CEO at a company with millions in contracts with the Treasury—this could potentially create a conflict of interest, especially given a specific aspect of his role: According to sources and government documents reviewed by WIRED, Langmack has application-level access to some of the most critical and sensitive systems inside HUD, one of which contains records mapping billions of dollars in expenditures.

Another DOGE operative WIRED has identified is Michael Mirski, who works for TCC Management, a Michigan-based company that owns and operates mobile home parks across the US, and graduated from the Wharton School in 2014. (In a story he wrote for the school’s website, he asserted that the most important thing he learned there was to “Develop the infrastructure to collect data.”) According to the documents, he has write privileges on—meaning he can input overall changes to—a system that controls who has access to HUD systems.

Between them, records reviewed by WIRED show, the DOGE operatives have access to five different HUD systems. According to a HUD source with direct knowledge, this gives the DOGE operatives access to vast troves of data. These range from the individual identities of every single federal public housing voucher holder in the US, along with their financial information, to information on the hospitals, nursing homes, multifamily housing, and senior living facilities that HUD helps finance, as well as data on everything from homelessness rates to environmental and health hazards to federally insured mortgages.

Put together, experts and HUD sources say, all of this could give someone with access unique insight into the US real estate market.

Kukun did not respond to requests for comment about whether Langmack is drawing a salary while working at HUD or how long he will be with the department. A woman who answered the phone at TCC Management headquarters in Michigan but did not identify herself said Mirksi was "on leave until July." In response to a request for comment about Langmack’s access to systems, HUD spokesperson Kasey Lovett said, “DOGE and HUD are working as a team; to insinuate anything else is false. To further illustrate this unified mission, the secretary established a HUD DOGE taskforce.” In response to specific questions about Mirski’s access to systems and background and qualifications, she said, “We have not—and will not—comment on individual personnel. We are focused on serving the American people and working as one team.”

The property technology, or proptech, market covers a wide range of companies offering products and services meant to, for example, automate tenant-landlord interactions, or expedite the home purchasing process. Kukun focuses on helping homeowners and real estate investors assess the return on investment they’d get from renovating their properties and on predictive analytics that model where property values will rise in the future.

Doing this kind of estimation requires the use of what’s called an automated valuation model (AVM), a machine-learning model that predicts the prices or rents of certain properties. In April 2024, Kukun was one of eight companies selected to receive support from REACH, an accelerator run by the venture capital arm of the National Association of Realtors (NAR). Last year NAR agreed to a settlement with Missouri homebuyers, who alleged that realtor fees and certain listing requirements were anticompetitive.

“If you can better predict than others how a certain neighborhood will develop, you can invest in that market,” says Fabian Braesemann, a researcher at the Oxford Internet Institute. Doing so requires data, access to which can make any machine-learning model more accurate and more monetizable. This is the crux of the potential conflict of interest: While it is unclear how Langmack and Mirski are using or interpreting it in their roles at HUD, what is clear is that they have access to a wide range of sensitive data.

According to employees at HUD who spoke to WIRED on the condition of anonymity, there is currently a six-person DOGE team operating within the department. Four members are HUD employees whose tenures predate the current administration and have been assigned to the group; the others are Mirski and Langmack. The records reviewed by WIRED show that Mirski has been given read and write access to three different HUD systems, as well as read-only access to two more, while Langmack has been given read and write access to two of HUD’s core systems.

A positive, from one source’s perspective, is the fact that the DOGE operatives have been given application-level access to the systems, rather than direct access to the databases themselves. In theory, this means that they can only interact with the data through user interfaces, rather than having direct access to the server, which could allow them to execute queries directly on the database or make unrestricted or irreparable changes. However, this source still sees dangers inherent in granting this level of access.

“There are probably a dozen-plus ways that [application-level] read/write access to WASS or LOCCS could be translated into the entire databases being exfiltrated,” they said. There is no specific reason to think that DOGE operatives have inappropriately moved data—but even the possibility cuts against standard security protocols that HUD sources say are typically in place.

LOCCS, or Line of Credit Control System, is the first system to which both DOGE operatives within HUD, according to the records reviewed by WIRED, have both read and write access. Essentially HUD’s banking system, LOCCS “handles disbursement and cash management for the majority of HUD grant programs,” according to a user guide. Billions of dollars flow through the system every year, funding everything from public housing to disaster relief—such as rebuilding from the recent LA wildfires—to food security programs and rent payments.

The current balance in the LOCCS system, according to a record reviewed by WIRED, is over $100 billion—money Congress has approved for HUD projects but which has yet to be drawn down. Much of this money has been earmarked to cover disaster assistance and community development work, a source at the agency says.

Normally, those who have access to LOCCS require additional processing and approvals to access the system, and most only have “read” access, department employees say.

“Read/write is used for executing contracts and grants on the LOCCS side,” says one person. “It normally has strict banking procedures around doing anything with funds. For instance, you usually need at least two people to approve any decisions—same as you would with bank tellers in a physical bank.”

The second system to which documents indicate both DOGE operatives at HUD have both read and write access is the HUD Central Accounting and Program System (HUDCAPS), an “integrated management system for Section 8 programs under the jurisdiction of the Office of Public and Indian Housing,” according to HUD. (Section 8 is a federal program administered through local housing agencies that provides rental assistance, in the form of vouchers, to millions of lower-income families.) This system was a precursor to LOCCS and is currently being phased out, but it is still being used to process the payment of housing vouchers and contains huge amounts of personal information.

There are currently 2.3 million families in receipt of housing vouchers in the US, according to HUD’s own data, but the HUDCAPS database contains information on significantly more individuals because historical data is retained, says a source familiar with the system. People applying for HUD programs like housing vouchers have to submit sensitive personal information, including medical records and personal narratives.

“People entrust these stories to HUD,” the source says. “It’s not data in these systems, it’s operational trust.”

WASS, or the Web Access Security Subsystem, is the third system to which DOGE has both read and write access, though only Mirski has access to this system according to documents reviewed by WIRED. It’s used to grant permissions to other HUD systems. “Most of the functionality in WASS consists of looking up information stored in various tables to tell the security subsystem who you are, where you can go, and what you can do when you get there,” a user manual says.

“WASS is an application for provisioning rights to most if not all other HUD systems,” says a HUD source familiar with the systems who is shocked by Mirski’s level of access, because normally HUD employees don’t have read access, let alone write access. “WASS is the system for setting permissions for all of the other systems.”

In addition to these three systems, documents show that Mirski has read-only access to two others. One, the Integrated Disbursement and Information System (IDIS), is a nationwide database that tracks all HUD programs underway across the country. (“IDIS has confidential data about hidden locations of domestic violence shelters,” a HUD source says, “so even read access in there is horrible.”) The other is the Financial Assessment of Public Housing (FASS-PH), a database designed to “measure the financial condition of public housing agencies and assess their ability to provide safe and decent housing,” according to HUD’s website.

All of this is significant because, in addition to the potential for privacy violations, knowing what is in the records, or even having access to them, presents a serious potential conflict of interest.

“There are often bids to contract any development projects,” says Erin McElroy, an assistant professor at the University of Washington. “I can imagine having insider information definitely benefiting the private market, or those who will move back into the private market,” she alleges.

HUD has an oversight role in the mobile home space, the area on which TCC Management, which appears to have recently wiped its website, focuses. "It’s been a growing area of HUD’s work and focus over the past few decades," says one source there; this includes setting building standards, inspecting factories, and taking in complaints. This presents another potential conflict of interest.

Braesemann says it’s not just the insider access to information and data that could be a potential problem, but that people coming from the private sector may not understand the point of HUD programs. Something like Section 8 housing, he notes, could be perceived as not working in alignment with market forces—“Because there might be higher real estate value, these people should be displaced and go somewhere else”—even though its purpose is specifically to buffer against the market.

Like other government agencies, HUD is facing mass purges of its workforce. NPR has reported that 84 percent of the staff of the Office of Community Planning and Development, which supports homeless people, faces termination, while the president of a union representing HUD workers has estimated that up to half the workforce could be cut The chapter on housing policy in Project 2025—the right-wing playbook to remake the federal government that the Trump administration appears to be following—outlines plans to massively scale back HUD programs like public housing, housing assistance vouchers, and first-time home buyer assistance.

[marta-bee]

News of the Day 6/11/25: AI

Paywall free.

More seriously, from the NY Times:

"For Some Recent Graduates, the A.I. Job Apocalypse May Already Be Here" (Paywall Free)

You can see hints of this in the economic data. Unemployment for recent college graduates has jumped to an unusually high 5.8 percent in recent months, and the Federal Reserve Bank of New York recently warned that the employment situation for these workers had “deteriorated noticeably.” Oxford Economics, a research firm that studies labor markets, found that unemployment for recent graduates was heavily concentrated in technical fields like finance and computer science, where A.I. has made faster gains. [...] Using A.I. to automate white-collar jobs has been a dream among executives for years. (I heard them fantasizing about it in Davos back in 2019.) But until recently, the technology simply wasn’t good enough. You could use A.I. to automate some routine back-office tasks — and many companies did — but when it came to the more complex and technical parts of many jobs, A.I. couldn’t hold a candle to humans. That is starting to change, especially in fields, such as software engineering, where there are clear markers of success and failure. (Such as: Does the code work or not?) In these fields, A.I. systems can be trained using a trial-and-error process known as reinforcement learning to perform complex sequences of actions on their own. Eventually, they can become competent at carrying out tasks that would take human workers hours or days to complete.

I've been hearing my whole life how automation was coming for all our jobs. First it was giant robots replacing big burly men on factory assembly lines. Now it seems to be increasingly sophisticated bits of code coming after paper-movers like me. I'm not sure we're there yet, quite, but the NYT piece does make a compelling argument that we're getting close.

The real question is, why is this a bad thing? And the obvious answer is people need to support themselves, and every job cut is one less person who can do that. But what I really mean is, if we can get the outputs we need to live well with one less person having to put in a day's work to get there, what does it say about us that we haven't worked out a way to make that a good thing?

Put another way, how come we haven't worked out a better way to share resources and get everyone what they need to thrive when we honestly don't need as much labor-hours for them to "earn" it as we once did?

I don't have the solution, but if some enterprising progressive politician wants to get on that, they could do worse. I keep hearing how Democrats need bold new ideas directed to helping the working class.

More on the Coming AI-Job-Pocalypse

I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking. (X)

Paul Krugman: “What Deindustrialization Can Teach Us About The Effects of AI on Workers” (X)

How AI agents are transforming work—and why human talent still matters (X)

AI agents will do programmers' grunt work (X)

At Amazon, Some Coders Say Their Jobs Have Begun to Resemble Warehouse Work (X)

Why Esther Perel is going all in on saving the American workforce in the age of AI

Junior analysts, beware: Your coveted and cushy entry-level Wall Street jobs may soon be eliminated by AI (X)

The biggest barrier to AI adoption in the business world isn’t tech – it’s user confidence  (X)

Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe. (X)

AI Will Devastate the Future of Work. But Only If We Let It (X)

AI in the workplace is nearly 3 times more likely to take a woman’s job as a man’s, UN report finds (X)

Klarna CEO predicts AI-driven job displacement will cause a recession (X)

& on AI Generally

19th-century Catholic teachings, 21st-century tech: How concerns about AI guided Pope Leo’s choice of name (X)

Will the Humanities Survive Artificial Intelligence? (X)

Two Paths for A.I. (X)

The Danger of Outsourcing Our Brains: Counting on AI to learn for us makes humans boring, awkward, and gullible. (X)

AI Is a Weapon Pointed at America. Our Best Defense Is Education. (X)

The Trump administration has asked artificial intelligence publishers to rebalance what it considers to be 'ideological bias' around actions like protecting minorities and banning hateful content. (X)

What is Google even for anymore? (X)

AI can spontaneously develop human-like communication, study finds

AI Didn’t Invent Desire, But It’s Rewiring Human Sex And Intimacy (X)

Mark Zuckerberg Wants AI to Solve America’s Loneliness Crisis. It Won’t. (X)

The growing environmental impact of AI data centers’ energy demands

Tesla Is Launching Robotaxis in Austin. Safety Advocates Are Concerned (X)

The One Big Beautiful Bill Act would ban states from regulating AI (X)

& on the Job-Pocalypse & Other Labor-Related Shenanigans Generally, Too

What Unions Face With Trump EOs (X)

AI may be exposing jobseekers to discrimination. Here’s how we could better protect them (X)

Jamie Dimon says he’s not against remote workers—but they ‘will not tell JPMorgan what to do’  (X)

Direct-selling schemes are considered fringe businesses, but their values have bled into the national economy. (X)

Are you "functionally unemployed"? Here's what the unemployment rate doesn't show. (X)

Being monitored at work? A new report calls for tougher workplace surveillance controls  (X)

Josh Hawley and the Republican Effort to Love Labor (X)

Karl Marx’s American Boom (X)

Hiring slows in U.S. amid uncertainty over Trump’s trade wars

Vanishing immigration is the ‘real story’ for the economy and a bigger supply shock than tariffs, analyst says (X)

[ecommerceknowldge]

The Power of Upskilling: Why Investing in Yourself Is the Smartest Move You’ll Ever Make

In today’s fast-paced, constantly evolving world, the only thing more expensive than investing in yourself is not doing it.

Upskilling — the process of learning new skills or enhancing existing ones — is no longer optional. It's a necessity for staying competitive in the workforce, pivoting to new career paths, and adapting to a world where change is the only constant.

Whether you're a fresh graduate, a mid-career professional, or a business leader, this post will help you understand why upskilling matters, where to start, and how to make learning a lifelong habit.

Why Upskilling Matters More Than Ever

1. Rapid Technological Advancements

Automation, AI, and digital transformation have reshaped industries. According to the World Economic Forum, 44% of workers’ core skills will change by 2027. Skills that were in high demand five years ago may now be outdated.

Jobs aren't necessarily disappearing — they’re evolving. That means individuals must continuously adapt or risk being left behind.

2. Career Growth and Mobility

Upskilling doesn’t just help you survive — it helps you thrive.

Want a promotion? Looking to switch industries? Trying to freelance or start a side hustle? Upskilling bridges the gap between where you are and where you want to be.

For example:

A marketer who learns data analytics becomes more valuable.

A teacher who gains expertise in EdTech can unlock new career opportunities.

A finance professional with coding skills can transition into fintech.

3. Increased Job Security

In uncertain economic times, employees with in-demand skills are often the last to go. Upskilling makes you indispensable. Employers view proactive learners as assets — people who are flexible, forward-thinking, and ready to take on new challenges.

4. Personal Satisfaction and Confidence

Beyond career advantages, learning something new boosts your self-esteem. Mastering a new tool or concept builds confidence and adds a sense of achievement. Lifelong learning is directly linked to better mental health, cognitive ability, and even happiness.

Identifying What to Learn

Not all skills are created equal. Here’s how to identify what you should focus on:

1. Align With Industry Trends

Start by researching current trends in your field. What tools, software, or certifications are becoming standard? Websites like LinkedIn Learning, Coursera, and even job boards can offer insight into what’s in demand.

2. Pinpoint Skill Gaps

Look at your resume, job performance, or feedback. Are there areas where you consistently feel underqualified or reliant on others? That’s your starting point.

For instance, if you’re in marketing but struggle with Excel or Google Analytics, that’s a practical gap to close.

3. Balance Hard and Soft Skills

Hard skills (e.g., coding, SEO, data visualization) are measurable and job-specific. Soft skills (e.g., communication, emotional intelligence, adaptability) are often what make or break long-term success.

According to LinkedIn’s Workplace Learning Report, soft skills like creativity, collaboration, and critical thinking are increasingly valued by employers.

How to Upskill Effectively

Upskilling doesn’t have to mean going back to college or spending thousands. With the right strategy, you can learn faster, smarter, and more sustainably.

1. Set Clear Goals

Vague intentions (“I want to get better at digital marketing”) rarely produce results. Instead, try: ✅ “I will complete a Google Ads certification within 30 days.” ✅ “I will write one blog post a week to practice content writing.”

2. Use Online Platforms

Some great learning platforms include:

Coursera – Offers university-led courses, many for free.

Udemy – Affordable, practical skill-based learning.

LinkedIn Learning – Career-focused, bite-sized lessons.

edX – Ivy-league content in flexible formats.

YouTube – A goldmine for free tutorials.

Don’t forget podcasts, newsletters, webinars, and even TikTok or Instagram accounts focused on education.

3. Apply What You Learn

Knowledge without application is wasted. If you’re learning copywriting, start a blog. If you’re learning a coding language, build a small project. Application cements learning and gives you portfolio pieces to show potential employers.

4. Join a Community

Learning with others keeps you accountable. Join Slack groups, Reddit communities, Discord servers, or local meetups. Networking with people on the same journey also opens up career opportunities.

5. Track and Reflect

Keep a simple progress log. Write down what you learned each week, what worked, and what didn’t. Reflection helps identify plateaus and gives you clarity on your next steps.

Upskilling at Work: Make It a Two-Way Street

If you’re employed, your workplace may be willing to sponsor courses or give you dedicated learning hours. Upskilling benefits your employer too — so don’t hesitate to ask.

Here’s how:

Propose a specific course or certification.

Explain how it’ll improve your job performance.

Offer to train others on what you’ve learned.

Employers appreciate initiative and are often happy to invest in employees who invest in themselves.

Final Thoughts: Build a Habit, Not Just a Skill

The most successful people don’t upskill once — they build a habit of learning.

Start with 30 minutes a day. Read a chapter. Watch a tutorial. Experiment with a new tool. Upskilling isn’t a race; it’s a lifestyle.

Remember: your career is your responsibility. In a world where industries change overnight, the most future-proof investment isn’t in stocks or crypto — it’s in you.

[generouslywanderingpriest]

Video Agent: The Future of AI-Powered Content Creation

The rise of AI-generated content has transformed how businesses and creators produce videos. Among the most innovative tools is the video agent, an AI-driven solution that automates video creation, editing, and optimization. Whether for marketing, education, or entertainment, video agents are redefining efficiency and creativity in digital media.

In this article, we explore how AI-powered video agents work, their benefits, and their impact on content creation.

What Is a Video Agent?

A video agent is an AI-based system designed to assist in video production. Unlike traditional editing software, it leverages machine learning and natural language processing (NLP) to automate tasks such as:

Scriptwriting – Generates engaging scripts based on keywords.

Voiceovers – Converts text to lifelike speech in multiple languages.

Editing – Automatically cuts, transitions, and enhances footage.

Personalization – Tailors videos for different audiences.

These capabilities make video agents indispensable for creators who need high-quality content at scale.

How AI Video Generators Work

The core of a video agent lies in its AI algorithms. Here’s a breakdown of the process:

1. Input & Analysis

Users provide a prompt (e.g., "Create a 1-minute explainer video about AI trends"). The AI video generator analyzes the request and gathers relevant data.

2. Content Generation

Using GPT-based models, the system drafts a script, selects stock footage (or generates synthetic visuals), and adds background music.

3. Editing & Enhancement

The video agent refines the video by:

Adjusting pacing and transitions.

Applying color correction.

Syncing voiceovers with visuals.

4. Output & Optimization

The final video is rendered in various formats, optimized for platforms like YouTube, TikTok, or LinkedIn.

Benefits of Using a Video Agent

Adopting an AI-powered video generator offers several advantages:

1. Time Efficiency

Traditional video production takes hours or days. A video agent reduces this to minutes, allowing rapid content deployment.

2. Cost Savings

Hiring editors, voice actors, and scriptwriters is expensive. AI eliminates these costs while maintaining quality.

3. Scalability

Businesses can generate hundreds of personalized videos for marketing campaigns without extra effort.

4. Consistency

AI ensures brand voice and style remain uniform across all videos.

5. Accessibility

Even non-experts can create professional videos without technical skills.

Top Use Cases for Video Agents

From marketing to education, AI video generators are versatile tools. Key applications include:

1. Marketing & Advertising

Personalized ads – AI tailors videos to user preferences.

Social media content – Quickly generates clips for Instagram, Facebook, etc.

2. E-Learning & Training

Automated tutorials – Simplifies complex topics with visuals.

Corporate training – Creates onboarding videos for employees.

3. News & Journalism

AI-generated news clips – Converts articles into video summaries.

4. Entertainment & Influencers

YouTube automation – Helps creators maintain consistent uploads.

Challenges & Limitations

Despite their advantages, video agents face some hurdles:

1. Lack of Human Touch

AI may struggle with emotional nuance, making some videos feel robotic.

2. Copyright Issues

Using stock footage or AI-generated voices may raise legal concerns.

3. Over-Reliance on Automation

Excessive AI use could reduce creativity in content creation.

The Future of Video Agents

As AI video generation improves, we can expect:

Hyper-realistic avatars – AI-generated presenters indistinguishable from humans.

Real-time video editing – Instant adjustments during live streams.

Advanced personalization – AI predicting viewer preferences before creation.

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