[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-okrs-for-ai-bridging-human-management-practices-to-agent-orchestration":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":96,"popular_news":165,"categories":236},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":46,"links":81,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"category":91},"OKRs for AI: Bridging Human Management Practices to Agent Orchestration","In the evolving landscape of AI-driven business, one intriguing parallel emerges: AI agents face many of the same challenges as human employees. Corporations have spent decades refining systems to transform unpredictable, chaotic individuals into reliable drivers of business outcomes.","In the evolving landscape of AI-driven business, one intriguing parallel emerges: AI agents face many of the same challenges as human employees.","Corporations have spent decades refining systems to transform unpredictable, chaotic individuals into reliable drivers of business outcomes.","\u003Cp>In the evolving landscape of AI-driven business, one intriguing parallel emerges: AI agents face many of the same challenges as human employees. Corporations have spent decades refining systems to transform unpredictable, chaotic individuals into reliable drivers of business outcomes.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-11t142442257.webp\" type=\"image/webp\">\u003Cimg alt=\"OKRs for AI: Bridging Human Management Practices to Agent Orchestration\" class=\"image-align-left\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-11t142442257.jpg\" width=\"300\" />\u003C/picture>Tools like Objectives and Key Results (OKRs), daily stand-ups, performance reviews, regulations, report templates, approval chains, and organizational structures all serve as crutches to stabilize stochastic systems — namely, people. Without them, companies devolve into disorganized herds.\u003C/p>\n\n\u003Cp>AI agents, powered by Large Language Models (LLMs), inherit this stochastic nature. Their outputs can be inconsistent, hallucinatory, or contextually limited. To mitigate this, we layer on orchestration, validation, self-verification, guardrails, templates, and structured JSON outputs—essentially building similar crutches to make AI predictable and productive.\u003C/p>\n\n\u003Cp>This isn't a coincidence; it's a direct analogy. By drawing from decades of management science, we can adapt these practices to orchestrate AI agents effectively, though the implementations differ significantly due to the fundamental differences between humans and machines.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The 1:1 Parallels: Human Management Meets AI Orchestration\u003C/strong>\u003C/h4>\n\n\u003Cp>Management frameworks aren't just for people; they provide timeless patterns for handling any unpredictable system.\u003C/p>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-11t142422034.webp\" type=\"image/webp\">\u003Cimg alt=\"OKRs for AI: Bridging Human Management Practices to Agent Orchestration\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-11t142422034.jpg\" width=\"300\" />\u003C/picture>Here's how classic tools map to AI agent systems:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>OKRs = Agent Goal Definition\u003C/strong>: In human teams, OKRs set high-level objectives with measurable key results, fostering alignment without micromanagement. For AI agents, OKRs define the "what" of success—e.g., "Optimize customer retention by 15%" rather than a rigid task list. Agents then generate paths to achieve it, with key results serving as evaluation metrics. As noted in management literature, OKRs unlock creative problem-solving; for agents, this means prompting them to iterate on strategies rapidly, with humans validating the outputs.\u003C/li>\n\t\u003Cli>\u003Cstrong>Stand-ups = Status Checks and Checkpoints\u003C/strong>: Daily human stand-ups provide quick updates on progress, blockers, and adjustments. For agents, this translates to real-time status checks, logging intermediate results, and checkpoints in workflows. Tools like retry logic ensure agents pivot automatically on failures, maintaining momentum without constant intervention.\u003C/li>\n\t\u003Cli>\u003Cstrong>Regulations and Templates = Prompt Templates and Runbooks\u003C/strong>: Corporate regulations standardize processes to reduce variability. In AI, prompt templates and predefined runbooks (step-by-step scripts) enforce consistency, guiding agents through complex tasks while minimizing stochastic drift.\u003C/li>\n\t\u003Cli>\u003Cstrong>Peer Review = Self-Verification and Cross-Validation\u003C/strong>: Human peer reviews catch errors through collaboration. AI equivalents include self-verification loops — where an agent critiques its own output — and cross-validation between multiple agents, ensuring outputs align before proceeding.\u003C/li>\n\t\u003Cli>\u003Cstrong>Organizational Structure = Orchestration Graphs\u003C/strong>: Hierarchies in companies define roles and reporting lines. For AI, this is the orchestration graph: a directed acyclic graph (DAG) outlining how agents interact, delegate subtasks, and escalate issues.\u003C/li>\n\t\u003Cli>\u003Cstrong>Performance Reviews = Evaluation Benchmarks\u003C/strong>: Annual reviews assess human growth and output. For agents, benchmarks like accuracy scores, latency metrics, or hallucination rates provide ongoing performance evaluation, informing model fine-tuning or redeployment.\u003C/li>\n\u003C/ul>\n\n\u003Cp>These mappings aren't theoretical; they're already emerging in practice. For instance, a LinkedIn post by Marc Boscher highlights how OKRs apply to agents, emphasizing measurable outcomes over task lists, but notes the need for human oversight to validate agent-generated plans. This underscores the value of borrowing from human management to tame AI's inherent randomness.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Key Differences: Motivation vs. Mechanics\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-11t142423519.webp\" type=\"image/webp\">\u003Cimg alt=\"OKRs for AI: Bridging Human Management Practices to Agent Orchestration\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-11t142423519.jpg\" width=\"300\" />\u003C/picture>While the parallels are striking, blind application of human practices to AI ignores core divergences. Humans require motivation, context, and culture to thrive—elements absent in agents. Instead, agents demand deterministic validation, retry mechanisms, and structured memory to combat issues like context window limits.\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Failure Modes\u003C/strong>: Humans might cut corners due to laziness or burnout; agents hallucinate or drift due to probabilistic sampling. Solutions for people involve incentives and rest; for agents, it's temperature control in prompts, fact-checking integrations, and memory augmentation.\u003C/li>\n\t\u003Cli>\u003Cstrong>Pace and Scale\u003C/strong>: Humans operate on quarterly OKR cycles, as Grove's framework was designed for human rhythms. Agents, however, iterate daily or hourly, generating outputs 1,000x faster. This creates a "management bottleneck" where human review can't keep up, necessitating automated evals and hybrid systems.\u003C/li>\n\t\u003Cli>\u003Cstrong>Sustainability\u003C/strong>: People tire and lose focus; agents run indefinitely but risk context lossin long sessions. Human management emphasizes work-life balance; AI orchestration focuses on efficient token usage and persistent state management.\u003C/li>\n\u003C/ul>\n\n\u003Cp>These differences highlight why AI-specific adaptations are crucial. \u003Ca href=\"https://www.profit.co/blog/okr-university/ai-powered-okr-analytics-the-future-of-enterprise-goal-management\">For example\u003C/a>, AI-powered OKR tools, as discussed in industry analyses, automate tracking and insights for human teams but can be inverted: \u003Ca href=\"https://relevanceai.com/agent-templates-tasks/okr-objectives-and-key-results-tracking-ai-agents\">using OKRs to guide agent swarms in real-time goal pursuit\u003C/a>.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Practical Applications: Building Agent Systems with Management Wisdom\u003C/strong>\u003C/h4>\n\n\u003Cp>If you're developing AI agent systems, dive into management science — it's an undervalued toolkit for "herding cats" at scale. Start by defining OKRs for your agents: What business outcome should they drive? Use orchestration platforms like LangChain or CrewAI to build graphs mirroring org structures.\u003C/p>\n\n\u003Cp>Incorporate evals as performance reviews: Benchmark agents on datasets simulating real tasks, iterating on prompts like refining employee training. For motivation analogs, implement reward models from reinforcement learning, aligning agents to objectives without "cultural" overhead.\u003C/p>\n\n\u003Cp>\u003Ca href=\"https://agileseekers.com/blog/building-effective-okrs-using-ai-insights-and-automation\">Real-world examples abound.\u003C/a> In goal management, \u003Ca href=\"https://www.akira.ai/ai-agents/okr-ai-agents\">AI agents track OKRs autonomously\u003C/a>, providing predictive analytics and automating adjustments. Businesses leveraging this see enhanced efficiency, as agents handle data collection while humans focus on strategy.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/powered-by-ai-assistant-lingguang-a-hand-crafted-ai-economy-emerges-in-china\">Powered by AI Assistant LingGuang, a "Hand-Crafted AI Economy" Emerges in China\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/ai-revenue-surge-anthropic-doubles-earnings-amid-pentagon-talks-openai-reaches-25-billion-milestone\">AI Revenue Surge: Anthropic Doubles Earnings Amid Pentagon Talks, OpenAI Reaches $25 Billion Milestone\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/ai-psychosis-the-emerging-risk-of-large-language-models-inducing-delusions\">AI-Psychosis: The Emerging Risk of Large Language Models Inducing Delusions\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/blockchain-forum-2025-global-crypto-leaders-to-meet-in-moscow\">Blockchain Forum 2025: Global Crypto Leaders to Meet in Moscow\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Future: Hybrid Herding\u003C/strong>\u003C/h4>\n\n\u003Cp>AI agents aren't people, but the quest to make stochastic systems predictable unites both domains. By adapting OKRs and other management practices, we can orchestrate agents into reliable business engines. The key? Recognize the parallels, respect the differences, and iterate relentlessly. As AI evolves, so too will our "management" of it — turning chaos into consistent value. If management tamed human herds, it can certainly corral digital ones.\u003C/p>","okrs-for-ai-bridging-human-management-practices-to-agent-orchestration","2026-03-11T13:26:06.000000Z","2026-03-13T11:17:00.000000Z","13.03.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/4HDR3N7eFEtZQI98ySvqXTwRIXqE6K37KsRk4MTD.jpg","https://cdn.quasa.io/images/news/4HDR3N7eFEtZQI98ySvqXTwRIXqE6K37KsRk4MTD.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/4HDR3N7eFEtZQI98ySvqXTwRIXqE6K37KsRk4MTD.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/4HDR3N7eFEtZQI98ySvqXTwRIXqE6K37KsRk4MTD.webp","small",null,729,0,"en",{"id":46,"title":47,"slug":48,"meta_title":92,"meta_description":93,"meta_keywords":93,"deleted_at":87,"created_at":94,"updated_at":95,"lang":90},"Artificial Intelligence | AI Breakthroughs, Agents & Tools | QUASA","Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2026-04-22T14:56:34.000000Z",[97,112,126,139,152],{"title":98,"description":99,"slug":100,"created_at":101,"publish_at":102,"formatted_created_at":103,"category":104,"links":105,"view_type":86,"video_url":87,"views":110,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"“The Classic Product Playbook Is Dead”: What Anthropic’s Head of Product Learned Building Claude","In a wide-ranging interview released this week, Anthropic’s Head of Product sat down to explain how AI has completely shattered traditional product development — and what actually works inside one of the fastest-scaling AI companies on the planet.","the-classic-product-playbook-is-dead-what-anthropic-s-head-of-product-learned-building-claude","2026-04-27T10:04:32.000000Z","2026-04-30T03:54:00.000000Z","30.04.2026",{"title":43,"slug":44},{"image":106,"image_webp":107,"thumb":108,"thumb_webp":109},"https://cdn.quasa.io/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.jpg","https://cdn.quasa.io/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.webp",5,false,{"title":113,"description":114,"slug":115,"created_at":116,"publish_at":117,"formatted_created_at":118,"category":119,"links":120,"view_type":86,"video_url":87,"views":125,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"Grok Voice Think Fast 1.0: The $3/Hour Voice AI That’s About to Replace Entire Call Centers","xAI just released Grok Voice Think Fast 1.0 — and the economics of voice AI have officially broken.","grok-voice-think-fast-1-0-the-3-hour-voice-ai-that-s-about-to-replace-entire-call-centers","2026-04-27T09:48:30.000000Z","2026-04-29T11:36:00.000000Z","29.04.2026",{"title":58,"slug":63},{"image":121,"image_webp":122,"thumb":123,"thumb_webp":124},"https://cdn.quasa.io/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.jpg","https://cdn.quasa.io/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.webp",97,{"title":127,"description":128,"slug":129,"created_at":130,"publish_at":131,"formatted_created_at":118,"category":132,"links":133,"view_type":86,"video_url":87,"views":138,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"DeepSeek-V4: The Open-Source Model That Just Made 1 Million Tokens Routine","DeepSeek has dropped the preview of DeepSeek-V4 — a direct, no-compromise open-source challenger to Claude, GPT-5, and Gemini.","deepseek-v4-the-open-source-model-that-just-made-1-million-tokens-routine","2026-04-27T09:31:03.000000Z","2026-04-29T09:20:00.000000Z",{"title":47,"slug":48},{"image":134,"image_webp":135,"thumb":136,"thumb_webp":137},"https://cdn.quasa.io/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.jpg","https://cdn.quasa.io/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.webp",111,{"title":140,"description":141,"slug":142,"created_at":143,"publish_at":144,"formatted_created_at":118,"category":145,"links":146,"view_type":86,"video_url":87,"views":151,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"OpenAI’s $10B DeployCo Play: Turning Private Equity Portfolios into an Enterprise AI Launchpad","OpenAI has just made its boldest move yet to crack the enterprise market. Instead of relying on traditional sales teams or pure software licensing, the company is betting big on implementation — and it’s doing so through a massive new joint venture called DeployCo.","openai-s-10b-deployco-play-turning-private-equity-portfolios-into-an-enterprise-ai-launchpad","2026-04-27T09:17:47.000000Z","2026-04-29T06:05:00.000000Z",{"title":43,"slug":44},{"image":147,"image_webp":148,"thumb":149,"thumb_webp":150},"https://cdn.quasa.io/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.jpg","https://cdn.quasa.io/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.webp",128,{"title":153,"description":154,"slug":155,"created_at":156,"publish_at":157,"formatted_created_at":118,"category":158,"links":159,"view_type":86,"video_url":87,"views":164,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"ComfyUI Cracks Open Real Human Faces in Seedance 2.0 — But Is It Really Fixed?","Anyone who has spent time wrestling with Seedance 2.0 in ComfyUI knows the pain. The model is incredibly powerful — cinematic camera control, native audio sync, buttery motion — but the built-in censorship made generating videos with actual human faces a nightmare.","comfyui-cracks-open-real-human-faces-in-seedance-2-0-but-is-it-really-fixed","2026-04-27T09:02:16.000000Z","2026-04-29T03:50:00.000000Z",{"title":27,"slug":28},{"image":160,"image_webp":161,"thumb":162,"thumb_webp":163},"https://cdn.quasa.io/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.jpg","https://cdn.quasa.io/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.webp",139,[166,179,195,207,222],{"title":167,"description":168,"slug":169,"created_at":170,"publish_at":171,"formatted_created_at":172,"category":173,"links":174,"view_type":86,"video_url":87,"views":177,"likes":178,"lang":90,"comments_count":89,"is_pinned":111},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":175,"image_webp":87,"thumb":176,"thumb_webp":176},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",72181,2,{"title":180,"description":181,"slug":182,"created_at":183,"publish_at":184,"formatted_created_at":185,"category":186,"links":187,"view_type":192,"video_url":87,"views":193,"likes":194,"lang":90,"comments_count":89,"is_pinned":111},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":188,"image_webp":189,"thumb":190,"thumb_webp":191},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","large",71963,4,{"title":196,"description":197,"slug":198,"created_at":199,"publish_at":200,"formatted_created_at":201,"category":202,"links":203,"view_type":86,"video_url":87,"views":206,"likes":194,"lang":90,"comments_count":89,"is_pinned":111},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":204,"image_webp":87,"thumb":205,"thumb_webp":205},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",69545,{"title":208,"description":209,"slug":210,"created_at":211,"publish_at":212,"formatted_created_at":213,"category":214,"links":215,"view_type":86,"video_url":87,"views":220,"likes":178,"lang":90,"comments_count":221,"is_pinned":111},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":216,"image_webp":217,"thumb":218,"thumb_webp":219},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",43434,1,{"title":223,"description":224,"slug":225,"created_at":226,"publish_at":227,"formatted_created_at":228,"category":229,"links":230,"view_type":192,"video_url":87,"views":235,"likes":178,"lang":90,"comments_count":89,"is_pinned":111},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":231,"image_webp":232,"thumb":233,"thumb_webp":234},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",42447,[237,238,239,240,241,242,243,244,245,246,247,248,249],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]