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#aiworkflows — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aiworkflows, aggregated by home.social.

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  1. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #tech #news #ainews

  2. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #tech #news #ainews

  3. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #tech #news #ainews

  4. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #tech #news #ainews

  5. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #tech #news #ainews

  6. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #AIagent #AI #ML #NLP #LLM #GenAI

  7. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #AIagent #AI #ML #NLP #LLM #GenAI

  8. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #AIagent #AI #ML #NLP #LLM #GenAI

  9. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #AIagent #AI #ML #NLP #LLM #GenAI

  10. #Apple CEO #TimCook highlighted the company’s hybrid #AIstrategy, emphasising #ondeviceprocessing capabilities of #AppleIntelligence, as a competitive advantage over hyperscaler peers who rely heavily on cloud computing. This approach allows for #moreefficient #AIworkflows and potential cost savings for businesses. While some AI tasks will utilise cloud resources, Apple aims to monetise its #AIcapabilities through #iCloud subscriptions. cnbc.com/2026/07/30/tim-cook-s #AIagent #AI #ML #NLP #LLM #GenAI

  11. 📰 Today's top stories, personally curated for you by Zorz Studios: zorz.it/newspaper

    - A villa #SantaCruzWedding abundant with white florals;
    - #SonyA7RVI vs. #A7V: the differences that actually matter;
    - Building portable #AIWorkflows that you can take anywhere;
    - #StreetStyle look of the week: a couple with a shared passion for #fringe;
    - Every #book of #TheBible explained in one #video, and more

    #ZoracleDaily #newspaper

  12. 📰 Today's top stories, personally curated for you by Zorz Studios: zorz.it/newspaper

    - A villa #SantaCruzWedding abundant with white florals;
    - #SonyA7RVI vs. #A7V: the differences that actually matter;
    - Building portable #AIWorkflows that you can take anywhere;
    - #StreetStyle look of the week: a couple with a shared passion for #fringe;
    - Every #book of #TheBible explained in one #video, and more

    #ZoracleDaily #newspaper

  13. 📰 Today's top stories, personally curated for you by Zorz Studios: zorz.it/newspaper

    - A villa #SantaCruzWedding abundant with white florals;
    - #SonyA7RVI vs. #A7V: the differences that actually matter;
    - Building portable #AIWorkflows that you can take anywhere;
    - #StreetStyle look of the week: a couple with a shared passion for #fringe;
    - Every #book of #TheBible explained in one #video, and more

    #ZoracleDaily #newspaper

  14. Google just hijacked 4GB of local storage. Here is the workflow to execute a permanent block. 🛑👇

    Chrome is quietly downloading its Gemini Nano AI model directly to your operating system.

    No opt-in prompt. No notification. Just a massive 4.3GB hidden file named weights.bin sitting inside your hidden system folders.

    Why? By executing AI natively on your machine, Google offloads their massive server and energy costs directly onto your hardware. Your personal machine is effectively operating as a free compute node in their ecosystem.

    If you just delete the folder, Chrome will download it again automatically. You must execute a multi-layered block.

    We just published the exact technical workflow to locate the hidden directory, kill the optimization flags, and block Google from pushing the payload via enterprise policies.

    Here is the precise workflow to locate the hidden directory and permanently execute a system block: digiglitch.net/exon

    #AIWorkflows #Cybersecurity #TechNews #ProductivityHacks #GoogleChrome #SaaS #Freelancing #FutureTech #DigitalWorkflows #AI

  15. Google just hijacked 4GB of local storage. Here is the workflow to execute a permanent block. 🛑👇

    Chrome is quietly downloading its Gemini Nano AI model directly to your operating system.

    No opt-in prompt. No notification. Just a massive 4.3GB hidden file named weights.bin sitting inside your hidden system folders.

    Why? By executing AI natively on your machine, Google offloads their massive server and energy costs directly onto your hardware. Your personal machine is effectively operating as a free compute node in their ecosystem.

    If you just delete the folder, Chrome will download it again automatically. You must execute a multi-layered block.

    We just published the exact technical workflow to locate the hidden directory, kill the optimization flags, and block Google from pushing the payload via enterprise policies.

    Here is the precise workflow to locate the hidden directory and permanently execute a system block: digiglitch.net/exon

    #AIWorkflows #Cybersecurity #TechNews #ProductivityHacks #GoogleChrome #SaaS #Freelancing #FutureTech #DigitalWorkflows #AI

  16. Google just hijacked 4GB of local storage. Here is the workflow to execute a permanent block. 🛑👇

    Chrome is quietly downloading its Gemini Nano AI model directly to your operating system.

    No opt-in prompt. No notification. Just a massive 4.3GB hidden file named weights.bin sitting inside your hidden system folders.

    Why? By executing AI natively on your machine, Google offloads their massive server and energy costs directly onto your hardware. Your personal machine is effectively operating as a free compute node in their ecosystem.

    If you just delete the folder, Chrome will download it again automatically. You must execute a multi-layered block.

    We just published the exact technical workflow to locate the hidden directory, kill the optimization flags, and block Google from pushing the payload via enterprise policies.

    Here is the precise workflow to locate the hidden directory and permanently execute a system block: digiglitch.net/exon

    #AIWorkflows #Cybersecurity #TechNews #ProductivityHacks #GoogleChrome #SaaS #Freelancing #FutureTech #DigitalWorkflows #AI

  17. Google just hijacked 4GB of local storage. Here is the workflow to execute a permanent block. 🛑👇

    Chrome is quietly downloading its Gemini Nano AI model directly to your operating system.

    No opt-in prompt. No notification. Just a massive 4.3GB hidden file named weights.bin sitting inside your hidden system folders.

    Why? By executing AI natively on your machine, Google offloads their massive server and energy costs directly onto your hardware. Your personal machine is effectively operating as a free compute node in their ecosystem.

    If you just delete the folder, Chrome will download it again automatically. You must execute a multi-layered block.

    We just published the exact technical workflow to locate the hidden directory, kill the optimization flags, and block Google from pushing the payload via enterprise policies.

    Here is the precise workflow to locate the hidden directory and permanently execute a system block: digiglitch.net/exon

    #AIWorkflows #Cybersecurity #TechNews #ProductivityHacks #GoogleChrome #SaaS #Freelancing #FutureTech #DigitalWorkflows #AI

  18. Google just hijacked 4GB of local storage. Here is the workflow to execute a permanent block. 🛑👇

    Chrome is quietly downloading its Gemini Nano AI model directly to your operating system.

    No opt-in prompt. No notification. Just a massive 4.3GB hidden file named weights.bin sitting inside your hidden system folders.

    Why? By executing AI natively on your machine, Google offloads their massive server and energy costs directly onto your hardware. Your personal machine is effectively operating as a free compute node in their ecosystem.

    If you just delete the folder, Chrome will download it again automatically. You must execute a multi-layered block.

    We just published the exact technical workflow to locate the hidden directory, kill the optimization flags, and block Google from pushing the payload via enterprise policies.

    Here is the precise workflow to locate the hidden directory and permanently execute a system block: digiglitch.net/exon

    #AIWorkflows #Cybersecurity #TechNews #ProductivityHacks #GoogleChrome #SaaS #Freelancing #FutureTech #DigitalWorkflows #AI

  19. The era of merely "chatting" with large language models is over.

    If you want to actually scale your output in 2026, you need to shift from manual prompting to autonomous execution. Offloading your routine administrative tasks transforms these tools from conversational novelties into proactive digital assistants.

    I just mapped out the exact framework I use to reclaim 15 hours of administrative overhead every single week.

    We are automating:
    ✅ The Inbox Gatekeeper: Auto-sorting pitches vs. briefings.
    ✅ Meeting Extraction: Ripping out action items into JSON for Zapier/Notion.
    ✅ The Focus Shield: An AI that scans your Calendar API and auto-blocks "Deep Work" time if you have more than 3 meetings scheduled.

    Stop drowning in admin work. I published all 7 workflow prompts (and which specific LLMs run them best) on DigiGlitch today.

    👇 Which of these tasks would you hand off to an AI first? 🔗 Read the full guide here: digiglitch.net/8wo7

    #Productivity #AIWorkflows #Automation #FounderLife #ChatGPT #FutureOfWork

  20. The era of merely "chatting" with large language models is over.

    If you want to actually scale your output in 2026, you need to shift from manual prompting to autonomous execution. Offloading your routine administrative tasks transforms these tools from conversational novelties into proactive digital assistants.

    I just mapped out the exact framework I use to reclaim 15 hours of administrative overhead every single week.

    We are automating:
    ✅ The Inbox Gatekeeper: Auto-sorting pitches vs. briefings.
    ✅ Meeting Extraction: Ripping out action items into JSON for Zapier/Notion.
    ✅ The Focus Shield: An AI that scans your Calendar API and auto-blocks "Deep Work" time if you have more than 3 meetings scheduled.

    Stop drowning in admin work. I published all 7 workflow prompts (and which specific LLMs run them best) on DigiGlitch today.

    👇 Which of these tasks would you hand off to an AI first? 🔗 Read the full guide here: digiglitch.net/8wo7

    #Productivity #AIWorkflows #Automation #FounderLife #ChatGPT #FutureOfWork

  21. The era of merely "chatting" with large language models is over.

    If you want to actually scale your output in 2026, you need to shift from manual prompting to autonomous execution. Offloading your routine administrative tasks transforms these tools from conversational novelties into proactive digital assistants.

    I just mapped out the exact framework I use to reclaim 15 hours of administrative overhead every single week.

    We are automating:
    ✅ The Inbox Gatekeeper: Auto-sorting pitches vs. briefings.
    ✅ Meeting Extraction: Ripping out action items into JSON for Zapier/Notion.
    ✅ The Focus Shield: An AI that scans your Calendar API and auto-blocks "Deep Work" time if you have more than 3 meetings scheduled.

    Stop drowning in admin work. I published all 7 workflow prompts (and which specific LLMs run them best) on DigiGlitch today.

    👇 Which of these tasks would you hand off to an AI first? 🔗 Read the full guide here: digiglitch.net/8wo7

    #Productivity #AIWorkflows #Automation #FounderLife #ChatGPT #FutureOfWork

  22. The era of merely "chatting" with large language models is over.

    If you want to actually scale your output in 2026, you need to shift from manual prompting to autonomous execution. Offloading your routine administrative tasks transforms these tools from conversational novelties into proactive digital assistants.

    I just mapped out the exact framework I use to reclaim 15 hours of administrative overhead every single week.

    We are automating:
    ✅ The Inbox Gatekeeper: Auto-sorting pitches vs. briefings.
    ✅ Meeting Extraction: Ripping out action items into JSON for Zapier/Notion.
    ✅ The Focus Shield: An AI that scans your Calendar API and auto-blocks "Deep Work" time if you have more than 3 meetings scheduled.

    Stop drowning in admin work. I published all 7 workflow prompts (and which specific LLMs run them best) on DigiGlitch today.

    👇 Which of these tasks would you hand off to an AI first? 🔗 Read the full guide here: digiglitch.net/8wo7

    #Productivity #AIWorkflows #Automation #FounderLife #ChatGPT #FutureOfWork

  23. The era of merely "chatting" with large language models is over.

    If you want to actually scale your output in 2026, you need to shift from manual prompting to autonomous execution. Offloading your routine administrative tasks transforms these tools from conversational novelties into proactive digital assistants.

    I just mapped out the exact framework I use to reclaim 15 hours of administrative overhead every single week.

    We are automating:
    ✅ The Inbox Gatekeeper: Auto-sorting pitches vs. briefings.
    ✅ Meeting Extraction: Ripping out action items into JSON for Zapier/Notion.
    ✅ The Focus Shield: An AI that scans your Calendar API and auto-blocks "Deep Work" time if you have more than 3 meetings scheduled.

    Stop drowning in admin work. I published all 7 workflow prompts (and which specific LLMs run them best) on DigiGlitch today.

    👇 Which of these tasks would you hand off to an AI first? 🔗 Read the full guide here: digiglitch.net/8wo7

    #Productivity #AIWorkflows #Automation #FounderLife #ChatGPT #FutureOfWork

  24. #Nvidia’s annual GTC conference will showcase new details about its #agenticoptimised #CPUs, signalling a shift in focus from #GPUs to CPUs due to the increasing demand for general compute power in #agentic #AIworkflows. Nvidia’s CPUs, designed to optimise GPU performance, are facing a “quiet supply crisis” as demand surges. cnbc.com/2026/03/13/nvidia-gtc #tech #media #news

  25. #Nvidia’s annual GTC conference will showcase new details about its #agenticoptimised #CPUs, signalling a shift in focus from #GPUs to CPUs due to the increasing demand for general compute power in #agentic #AIworkflows. Nvidia’s CPUs, designed to optimise GPU performance, are facing a “quiet supply crisis” as demand surges. cnbc.com/2026/03/13/nvidia-gtc #tech #media #news

  26. #Nvidia’s annual GTC conference will showcase new details about its #agenticoptimised #CPUs, signalling a shift in focus from #GPUs to CPUs due to the increasing demand for general compute power in #agentic #AIworkflows. Nvidia’s CPUs, designed to optimise GPU performance, are facing a “quiet supply crisis” as demand surges. cnbc.com/2026/03/13/nvidia-gtc #tech #media #news

  27. #Nvidia’s annual GTC conference will showcase new details about its #agenticoptimised #CPUs, signalling a shift in focus from #GPUs to CPUs due to the increasing demand for general compute power in #agentic #AIworkflows. Nvidia’s CPUs, designed to optimise GPU performance, are facing a “quiet supply crisis” as demand surges. cnbc.com/2026/03/13/nvidia-gtc #tech #media #news

  28. #Nvidia’s annual GTC conference will showcase new details about its #agenticoptimised #CPUs, signalling a shift in focus from #GPUs to CPUs due to the increasing demand for general compute power in #agentic #AIworkflows. Nvidia’s CPUs, designed to optimise GPU performance, are facing a “quiet supply crisis” as demand surges. cnbc.com/2026/03/13/nvidia-gtc #tech #media #news

  29. In 2026, automation has evolved from linear "if-this-then-that" recipes to autonomous #AIAgents. I’ve moved my entire editorial distribution to #ZapierCentral—here is how I built a "Journalist Brain" to handle my social hooks while I’m offline.... #AIWorkflows #AutomationTools

  30. "Formalizing AI workflows into reusable commands makes them more reliable and consistent than having to write a prompt every time we need help with something. When I run this command, it follows the same research steps in the same order, which means it's easier to find everything relevant and not forget about something.

    The two-phase approach — research first, writing second — I think is also worth the extra step. Someone might want to just research a ticket and not write a draft. Also, this way the command works for other colleagues in the team who aren't tech writers.

    MCP integrations are what make this a powerful tool. The ability to pull data from multiple internal tools in a single session is the foundation everything else is built on.

    And as always: AI doesn't replace the tech writer's judgment. It replaces the tedious context-gathering so we can spend more time on the parts of the job that actually require expertise — deciding what customers need to know and how best to explain it.

    If you want to try building something similar, OpenCode supports custom commands and agent skills. The setup takes a few minutes: define a command file with your research steps, create skill files with your docs framework conventions, and you have a reusable workflow. The OpenCode docs cover how to create commands and agent skills."

    linkedin.com/pulse/building-ai

    #TechnicalWriting #OpenCode #Jira #JiraTickets #AI #GenerativeAI #AIWorkflows #ReusableCommands #MCP #MCPServers

  31. "Formalizing AI workflows into reusable commands makes them more reliable and consistent than having to write a prompt every time we need help with something. When I run this command, it follows the same research steps in the same order, which means it's easier to find everything relevant and not forget about something.

    The two-phase approach — research first, writing second — I think is also worth the extra step. Someone might want to just research a ticket and not write a draft. Also, this way the command works for other colleagues in the team who aren't tech writers.

    MCP integrations are what make this a powerful tool. The ability to pull data from multiple internal tools in a single session is the foundation everything else is built on.

    And as always: AI doesn't replace the tech writer's judgment. It replaces the tedious context-gathering so we can spend more time on the parts of the job that actually require expertise — deciding what customers need to know and how best to explain it.

    If you want to try building something similar, OpenCode supports custom commands and agent skills. The setup takes a few minutes: define a command file with your research steps, create skill files with your docs framework conventions, and you have a reusable workflow. The OpenCode docs cover how to create commands and agent skills."

    linkedin.com/pulse/building-ai

    #TechnicalWriting #OpenCode #Jira #JiraTickets #AI #GenerativeAI #AIWorkflows #ReusableCommands #MCP #MCPServers

  32. "Formalizing AI workflows into reusable commands makes them more reliable and consistent than having to write a prompt every time we need help with something. When I run this command, it follows the same research steps in the same order, which means it's easier to find everything relevant and not forget about something.

    The two-phase approach — research first, writing second — I think is also worth the extra step. Someone might want to just research a ticket and not write a draft. Also, this way the command works for other colleagues in the team who aren't tech writers.

    MCP integrations are what make this a powerful tool. The ability to pull data from multiple internal tools in a single session is the foundation everything else is built on.

    And as always: AI doesn't replace the tech writer's judgment. It replaces the tedious context-gathering so we can spend more time on the parts of the job that actually require expertise — deciding what customers need to know and how best to explain it.

    If you want to try building something similar, OpenCode supports custom commands and agent skills. The setup takes a few minutes: define a command file with your research steps, create skill files with your docs framework conventions, and you have a reusable workflow. The OpenCode docs cover how to create commands and agent skills."

    linkedin.com/pulse/building-ai

    #TechnicalWriting #OpenCode #Jira #JiraTickets #AI #GenerativeAI #AIWorkflows #ReusableCommands #MCP #MCPServers

  33. "Formalizing AI workflows into reusable commands makes them more reliable and consistent than having to write a prompt every time we need help with something. When I run this command, it follows the same research steps in the same order, which means it's easier to find everything relevant and not forget about something.

    The two-phase approach — research first, writing second — I think is also worth the extra step. Someone might want to just research a ticket and not write a draft. Also, this way the command works for other colleagues in the team who aren't tech writers.

    MCP integrations are what make this a powerful tool. The ability to pull data from multiple internal tools in a single session is the foundation everything else is built on.

    And as always: AI doesn't replace the tech writer's judgment. It replaces the tedious context-gathering so we can spend more time on the parts of the job that actually require expertise — deciding what customers need to know and how best to explain it.

    If you want to try building something similar, OpenCode supports custom commands and agent skills. The setup takes a few minutes: define a command file with your research steps, create skill files with your docs framework conventions, and you have a reusable workflow. The OpenCode docs cover how to create commands and agent skills."

    linkedin.com/pulse/building-ai

    #TechnicalWriting #OpenCode #Jira #JiraTickets #AI #GenerativeAI #AIWorkflows #ReusableCommands #MCP #MCPServers

  34. "Formalizing AI workflows into reusable commands makes them more reliable and consistent than having to write a prompt every time we need help with something. When I run this command, it follows the same research steps in the same order, which means it's easier to find everything relevant and not forget about something.

    The two-phase approach — research first, writing second — I think is also worth the extra step. Someone might want to just research a ticket and not write a draft. Also, this way the command works for other colleagues in the team who aren't tech writers.

    MCP integrations are what make this a powerful tool. The ability to pull data from multiple internal tools in a single session is the foundation everything else is built on.

    And as always: AI doesn't replace the tech writer's judgment. It replaces the tedious context-gathering so we can spend more time on the parts of the job that actually require expertise — deciding what customers need to know and how best to explain it.

    If you want to try building something similar, OpenCode supports custom commands and agent skills. The setup takes a few minutes: define a command file with your research steps, create skill files with your docs framework conventions, and you have a reusable workflow. The OpenCode docs cover how to create commands and agent skills."

    linkedin.com/pulse/building-ai

    #TechnicalWriting #OpenCode #Jira #JiraTickets #AI #GenerativeAI #AIWorkflows #ReusableCommands #MCP #MCPServers

  35. Zscaler has acquired SquareX to extend Zero Trust enforcement into standard web browsers without requiring a separate enterprise browser or full agent deployment.

    The strategy targets unmanaged and BYOD environments, aiming to reduce reliance on VPNs and VDIs while maintaining posture checks and policy enforcement within browser sessions.

    💬 From an architecture perspective, where do browser-based controls fall short - and where do they excel?

    Source: zscaler.com/press/zscaler-acqu

    ➕ Follow @technadu for vendor-neutral infosec analysis.

    #Zscaler #ZeroTrustExchange #BrowserSecurity #Infosec #EnterpriseSecurity #CloudAccess #AIWorkflows #TechNadu

  36. Zscaler has acquired SquareX to extend Zero Trust enforcement into standard web browsers without requiring a separate enterprise browser or full agent deployment.

    The strategy targets unmanaged and BYOD environments, aiming to reduce reliance on VPNs and VDIs while maintaining posture checks and policy enforcement within browser sessions.

    💬 From an architecture perspective, where do browser-based controls fall short - and where do they excel?

    Source: zscaler.com/press/zscaler-acqu

    ➕ Follow @technadu for vendor-neutral infosec analysis.

    #Zscaler #ZeroTrustExchange #BrowserSecurity #Infosec #EnterpriseSecurity #CloudAccess #AIWorkflows #TechNadu

  37. Zscaler has acquired SquareX to extend Zero Trust enforcement into standard web browsers without requiring a separate enterprise browser or full agent deployment.

    The strategy targets unmanaged and BYOD environments, aiming to reduce reliance on VPNs and VDIs while maintaining posture checks and policy enforcement within browser sessions.

    💬 From an architecture perspective, where do browser-based controls fall short - and where do they excel?

    Source: zscaler.com/press/zscaler-acqu

    ➕ Follow @technadu for vendor-neutral infosec analysis.

    #Zscaler #ZeroTrustExchange #BrowserSecurity #Infosec #EnterpriseSecurity #CloudAccess #AIWorkflows #TechNadu

  38. Zscaler has acquired SquareX to extend Zero Trust enforcement into standard web browsers without requiring a separate enterprise browser or full agent deployment.

    The strategy targets unmanaged and BYOD environments, aiming to reduce reliance on VPNs and VDIs while maintaining posture checks and policy enforcement within browser sessions.

    💬 From an architecture perspective, where do browser-based controls fall short - and where do they excel?

    Source: zscaler.com/press/zscaler-acqu

    ➕ Follow @technadu for vendor-neutral infosec analysis.

    #Zscaler #ZeroTrustExchange #BrowserSecurity #Infosec #EnterpriseSecurity #CloudAccess #AIWorkflows #TechNadu

  39. Anthropic just opened Claude Cowork to paid tiers, letting whole teams embed an AI assistant directly into their workflows. From brainstorming to code reviews, the new pricing makes enterprise‑grade AI infrastructure accessible for any collaborative project. Curious how this could boost your productivity? Read the full story. #ClaudeCowork #AIWorkflows #TeamCollaboration #EnterpriseAI

    🔗 aidailypost.com/news/anthropic

  40. Anthropic just opened Claude Cowork to paid tiers, letting whole teams embed an AI assistant directly into their workflows. From brainstorming to code reviews, the new pricing makes enterprise‑grade AI infrastructure accessible for any collaborative project. Curious how this could boost your productivity? Read the full story. #ClaudeCowork #AIWorkflows #TeamCollaboration #EnterpriseAI

    🔗 aidailypost.com/news/anthropic

  41. 🚀 Công cụ Scenario Builder mới cho MAKE AI ra mắt! Tính năng kéo‑thả, mô phỏng quyết định AI thời gian thực, tùy chỉnh linh hoạt, chia sẻ hợp tác dễ dàng. Giúp nhà sáng tạo, dev và team nhanh chóng xây dựng & thử nghiệm quy trình tự động hoá và AI. Hãy thử và chia sẻ cảm nhận! #MAKEAI #Automation #AIWorkflows #Innovation #Tựđộng #TríTuệNhânTạo #CôngCụ #SángTạo

    reddit.com/r/SideProject/comme

  42. Unlock the power of AI workflows with our latest guide! 🤖 Discover 7 cutting-edge tools that transform complex machine learning processes into transparent, efficient systems. Learn how top technologies streamline data engineering and automation for professionals and innovators. #AIWorkflows #MachineLearning #DataEngineering #Automation

    🔗 aidailypost.com/news/demystify

  43. Tạo không gian làm việc bảo mật với Nextcloud + AI workflows: Liệu có thực sự hiệu quả? Bài viết thảo luận về cách kết hợp nền tảng tự托管 Nextcloud với công nghệ AI để tối ưu năng suất mà vẫn giữ riêng tư dữ liệu. 🤖🔒 #Nextcloud #PrivacyFirst #AIWorkflows #CôngNghệAI #BảoMật #WorkspaceVietNam

    reddit.com/r/SaaS/comments/1px

  44. Tôi đã xây dựng một Trung tâm Điều khiển AI & Tự động hóa có thể sử dụng với tất cả các mô hình lớn hoặc mô hình tự host của bạn!

    ✅ Kết nối AI local với chỉ 20 click
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    ✅ Hỗ trợ Agent Builder, RAG, Workflows, MCP
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    #AI #TựĐộngHóa #SelfHosted #LocalAI #Keinsaas #AIWorkflows #MCP #RAG #TechInnovation

    reddit.com/r/selfhosted/commen

  45. #AgenticCoding has transformed the way teams work in 2025. However, using #AI agents can lead to several pitfalls, such as hallucinated output being processed and an increased use of tokens and other credits when processes are scaled up.

    We developed FlowDrop, a tool that combines deterministic process logics with AI usage. This ensures that AI only comes into play when delivering real value to your workflows.

    Find out more on our website: factorial.io/en/blog/ai-workfl

    #AIworkflows #KI

  46. #AgenticCoding has transformed the way teams work in 2025. However, using #AI agents can lead to several pitfalls, such as hallucinated output being processed and an increased use of tokens and other credits when processes are scaled up.

    We developed FlowDrop, a tool that combines deterministic process logics with AI usage. This ensures that AI only comes into play when delivering real value to your workflows.

    Find out more on our website: factorial.io/en/blog/ai-workfl

    #AIworkflows #KI

  47. #AgenticCoding has transformed the way teams work in 2025. However, using #AI agents can lead to several pitfalls, such as hallucinated output being processed and an increased use of tokens and other credits when processes are scaled up.

    We developed FlowDrop, a tool that combines deterministic process logics with AI usage. This ensures that AI only comes into play when delivering real value to your workflows.

    Find out more on our website: factorial.io/en/blog/ai-workfl

    #AIworkflows #KI

  48. #AgenticCoding has transformed the way teams work in 2025. However, using #AI agents can lead to several pitfalls, such as hallucinated output being processed and an increased use of tokens and other credits when processes are scaled up.

    We developed FlowDrop, a tool that combines deterministic process logics with AI usage. This ensures that AI only comes into play when delivering real value to your workflows.

    Find out more on our website: factorial.io/en/blog/ai-workfl

    #AIworkflows #KI