Sanny Recommends

AI Enthusiast | Member @ AI Profit Boardroom | Exploring AI automation, tools & content - Make money with AI

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@aiseomastery Built an 8-Figure Biz With AI — No Staff, No Stress

All inside The AI Profit Boardroom :
https://t.co/4D99o4lTeJ

🔥 ChatGPT writes
🔥 Perplexity researches
🔥 Funnels sell 24/7

https://t.co/GqNIJYHDcb

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30M people use Gemini Notebook, but most still make AI start from zero every session. Pair it with one Obsidian vault and a shared Agent OS memory, and your AI keeps learning instead of forgetting.

Watch here:https://t.co/68NIbiWa8W

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Jack Dorsey Just Launched a FREE AI App... And It's Wild 🤯
Watch here:https://t.co/eyb0ez89Zd

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NEW MAI-Cyber-1-Flash is SCARY Good

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Microsoft's new MAI-Cyber-1-Flash didn't just post a strong benchmark. The architecture behind it may be the bigger story.

Instead of one giant AI model, Microsoft runs 100+ specialised agents together. Some scan code, others verify findings, some challenge each other's conclusions before anything gets reported.

MAI-Cyber-1-Flash handles around 90% of the workload itself. Only the hardest cases get escalated to GPT-5.4. Faster where possible, heavier reasoning only when needed.

Microsoft says this cuts compute costs by roughly half compared with its previous setup, making continuous code scanning far more practical.

The system was evaluated on more than 1,500 real-world vulnerabilities pulled from open-source projects. That's a much tougher test than synthetic examples.

Security wasn't just about finding bugs. Microsoft also describes red-team testing, third-party review, isolated workspaces, restricted internet access, and full audit trails.

The headline number: about 96% on the Cyber Gym benchmark. Microsoft says that's roughly 12 points ahead of Anthropic's Mythos model, with other leading systems around 83-86%.

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This Google AI Agent Update Is WILD!

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Google quietly changed one of its biggest AI agent tools—and it's a bigger deal than most people realise.

Antigravity now runs on Gemini 3.6 Flash by default.

AI agents just got faster.

Gemini 3.6 Flash officially launched on July 21, 2026. Google says it completes multi-step work with fewer reasoning steps, fewer tool calls, and up to 17% fewer output tokens.

I tested it by generating landing page copy, then letting Antigravity build the page, connect a sign-up form, test everything, and publish it without writing code.

The benchmark gains are substantial:
DeepSWE: 49% vs 37%
MLE Bench: 63.9% vs 49.7%
OSWorld Verified: 83% vs 78.4%

Google also reports some DeepSWE tasks cut token usage by as much as 65%. Same work. Less back-and-forth. Lower cost.

Watch here: https://t.co/mkLyfaKckl

The 1 million token context window remains, so you can still work with huge transcripts, spreadsheets, or entire codebases without losing context.

I'm also using it to turn one lesson into a video script, an email, and a social post from one prompt, while Antigravity organises files and schedules the workflow.

Want practical workflows for updates like this instead of figuring them out alone?

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Humalike x Hermes is INSANE!

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Your AI agent isn't getting ignored because it's dumb.

It's getting ignored because it never knows when to stay quiet.

Humalike's new Hermes plugin is built to fix that.

Instead of replying to every message, the plugin introduces turn-taking. The agent watches the rhythm of the conversation and decides whether speaking actually adds value.

Another feature is /soul enhance.

A single character description becomes a consistent personality, giving your agent a recognisable voice instead of generic AI wording.

Theory of mind is another major addition.

Before sending a message, the agent considers how the response is likely to be received and adjusts accordingly.

Social learning helps the agent absorb group slang, formatting habits, and inside jokes over time so it starts sounding like an established member rather than a newcomer.

Installation is simple, but one step matters: update Hermes first. Then clone the plugin, enable it, restart Hermes, and it automatically applies and reports its configuration changes.

The plugin is open source under the MIT licence, and Humalike offers free credits to start testing without a card. It targets the social side of AI rather than raw model capability.

Want complete Agent OS walkthroughs, implementation guides, prompts, and live coaching around tools like this? Join the AI Profit Boardroom:

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Claude Opus 5 isn't interesting because it's new.

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It's interesting because it delivers near Fable 5-level capability while using fewer resources—and that changes how you should build AI workflows.

I tested Opus 5 inside Agent OS against GPT 5.6 Sol, Kimi K3 and Fable 5 using one-shot builds.

No iterative prompting.
No fixes.
Just one prompt and compare the output.

On a driving game, Opus 5 held its own beside Fable 5.

On a flight-style game, it actually produced the strongest result of every model I tested.

One flight simulator failed its control test.

That's fine—it was a one-shot build. Seeing a brand-new model perform that well without optimisation says a lot about where it's heading.

Anthropic also reports Opus 5 more than doubled Opus 4.8's Frontier Bench coding score, scored roughly 3x higher than the next closest model on ARC AGI3, and topped Zapier's automation benchmark.

The lesson isn't "switch to every new model."

The lesson is to build a system that lets you swap models without rebuilding everything whenever another release drops.

Build a workflow that can adopt every major model in minutes instead of weekends. That's exactly what we build inside the AI Profit Boardroom:

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Hermes 0.19 isn't just a speed update

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Cold starts dropped from roughly 4.3 seconds to 0.9 seconds, changing how Agent OS feels every time you launch a task.

Reasoning models now stream their thinking by default.

Instead of staring at a spinner, you see work happening token by token, making it easier to trust long-running jobs.

The desktop app received 20+ performance improvements.

Large code reviews no longer freeze the interface, transcript switching is smoother, and streamed replies stop constantly redrawing the sidebar.

Smart approvals are now the default.

Each sensitive command is reviewed individually, while custom deny rules let you block specific actions without giving blanket permission.

Delegated sub-agents now generate live transcript files.

You can watch every tool call and streamed response as each worker runs instead of waiting for one final report.

A new delivery ledger means completed responses survive crashes.

If the gateway fails before confirming delivery, finished answers are restored and resent on the next boot.

The release also adds Bitwarden and 1Password integration, Fireworks AI and DeepInfra providers, new reasoning levels, faster skill caching, and single-turn model overrides.

Build Agent OS with Hermes already configured and follow proven implementation workflows:

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I just published Hermes Agent 0.19 https://t.co/SiWyjJOrOY

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Hermes Agent OS Just Changed AI Agents Forever!

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Hermes Agent 0.19 isn't just a performance update. Cutting cold starts from 4.3 seconds to 0.9 seconds changes how AI agents feel in daily work.

Instead of waiting several seconds before every task, responses begin almost immediately and you can watch reasoning appear while the model works.

The bigger change is reliability. Background jobs are written to a database, so a crash doesn't automatically kill long-running work.

Another major upgrade is routing. One gateway can send different requests to different specialist agents, each with its own model, memory and skills.

That means an SEO agent can research while a content writer creates scripts, with the main agent delegating work automatically.

The update also adds a second AI to review flagged commands, custom deny rules for safer automation, improved secrets management, and faster memory retrieval.

Running multiple models like Hy3, Laguna S 2.1 and local models spreads workloads instead of overloading one model with everything.

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These FREE AI Tools Change Everything!

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Everyone’s paying for AI tools…

Meanwhile, open-source AI is quietly taking over. 🤯

I just found 10 FREE AI tools that completely changed how I think about automation.

One creates an entire video from a single sentence.

Another clones your voice.

One builds working apps without writing code.

There’s even an AI that fixes its own code until it works.

The crazy part?

Most people have never heard of them.

The gap between having an idea and building something real has almost disappeared.

If you’re learning AI right now, you’re getting a massive head start.

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What’s the best FREE AI tool you’ve discovered recently?

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OpenAI just made ChatGPT a whole lot more useful.

They’ve merged ChatGPT, Work, and Codex into a single app. At first glance, it looks like a simple redesign. It’s not. This changes how business owners can actually use AI every day.

Before this update, AI felt fragmented. You’d ask ChatGPT a question, copy the answer into another tool, switch tabs, open documents, paste prompts, and juggle multiple apps just to finish one project. That friction is now gone.

The new Work mode is the biggest change. Instead of helping with one prompt at a time, it can take on an entire project. Ask it to build a landing page, create a five-email follow-up sequence, research competitors, organise everything into a spreadsheet, or turn a long transcript into weeks of marketing content. Then let it keep working while you focus on something else.

OpenAI also revealed that Codex now has over 5 million weekly users, and around 20% of them aren’t developers. That’s a clear sign these tools are no longer just for coders. They’re being built for business owners, creators, marketers, consultants, and anyone who wants to save time and grow faster.

I think this is one of those updates people will look back on and realise it changed the way they worked. The businesses that start learning these tools today will be miles ahead of those who keep waiting for the “right time.”

We’re already putting this update to work inside the AI Profit Boardroom, showing members how to use it to build better marketing, automate repetitive tasks, create more content, and generate more leads without adding extra hours to the day.

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Google dropped 3 new Gemini models last week…

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Most creators explained what launched.

Almost nobody explained which model to use and why.

Inside the AI Profit Boardroom, I finally understood why Gemini 3.6 Flash became Google’s new default. It uses fewer reasoning steps, fewer tool calls, and fewer output tokens, so it gets through complex work faster instead of rambling.

I also learned that Flash Lite isn’t just a smaller model. It’s built for high-volume work like AI agents, document processing, and automation, and it’s even outperforming some older flagship Gemini models on coding benchmarks.

The biggest surprise for me was Gemini Notebook. It can now write code, run calculations against your own files, and analyse real business data instead of simply summarising documents.

Then there’s OmniFlash. You describe the changes you want in plain English, and it edits your video. Swap products, change lighting, replace characters, or add objects without touching complicated editing software.

This is why I stay in the AI Profit Boardroom.

It isn’t just AI news.

It’s practical workflows that save hours of trial and error.

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🚨 Manus AI just fixed one of the biggest frustrations with AI, and it’s a much bigger update than it first appears.

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One of the biggest problems with AI has always been that it starts building immediately. You type a prompt, hit enter, and within minutes it’s creating something based on what it thinks you meant. If it guesses wrong, you’re forced to explain yourself again, wait for another version, and repeat the process until you finally get what you wanted. It’s not just frustrating—it wastes an incredible amount of time.

That’s exactly what the new Plan Mode is designed to solve.

Instead of rushing into the build, Manus now slows down first. It researches your request, checks what’s possible, looks for missing information, identifies potential issues, and asks you the questions a real developer or project manager would ask before starting the work. It then gives you a complete plan that you can read through, edit, and approve before anything gets built.

It’s such a simple idea, but it completely changes the experience.

Think about building a landing page, creating an automation, writing a welcome sequence, or even planning an app. Rather than rebuilding the same project three or four times because the AI misunderstood your prompt, you fix the plan first. A plan takes seconds to edit. A finished project can take hours to fix.

I actually think this is where AI agents are heading. The winners won’t be the tools that build the fastest—they’ll be the tools that understand exactly what you’re trying to achieve before they build anything at all.

We’ve already started using Plan Mode for landing pages, marketing campaigns, content calendars, customer onboarding, and business automations, and it’s dramatically reduced the amount of back-and-forth needed to get a great result.

If you want to see exactly how it works, I’ve put together a full walkthrough showing the prompts I’m using, real business examples, and how you can apply the same workflow to your own business.

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Kimi K3 Agent OS Without Paying_ Do This NOW !!!

Kimi K3 is available for free, works inside Agent OS, and was reported to outperform Fable 5, GPT 5.6, and Opus 4.82 in internal testing. If you've ignored it because it's free, it may be worth another look.

Start with a fresh account at https://t.co/iK4JMDoqFr. Switch the default model from K2.6 to K3 before testing so you're evaluating the reasoning model instead of the faster default.

Skip K3 Swarm if you're using the free plan. It burns through tokens much faster, so regular K3 gives you more time to test real workflows.

Keep the context window on Standard unless you're paying for higher tiers. For most coding tasks there's enough room to complete projects without hitting limits.

Thinking effort matters. Use Standard for everyday prompts. Reserve High and Max for multi-step builds and more demanding reasoning so your free tokens last longer.

One demo rebuilt an entire community homepage into a 3D-style design from a single prompt, including the banner, video section, and CTA while preserving the overall structure.

Agent OS is the bigger advantage. If one model slows down during busy periods, swap to another model while keeping the same workflow and prompts instead of rebuilding everything.

Watch here:
https://t.co/9VrQVavFqJ

Free AI Prompt Pack:
https://t.co/Yy4IDlBixD

Want the complete Agent OS setup, install files, tutorials, and coaching around workflows like this?

https://t.co/rfAmlPVJ3o

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Qwen 3.8 vs Kimi K3 vs GPT-5.6 vs Fable 5_ Who Wins_?

Everyone's talking about Qwen 3.8, so I tested it against GPT 5.6 Sol, Fable 5, and Kimi K3 across 23 identical Agent OS builds. The results weren't even close to a clean sweep.

Qwen 3.8 dominated creative game generation. It produced the best OutRun experience, the strongest GTA-style build, and one of the nicest landing pages with typography that felt less AI-generated.

Kimi K3 shined whenever interaction mattered. It won the Dragon Realm build and was the only model that let me properly manipulate the cloth simulation. It also led fluid dynamics and fireworks.

Fable 5 kept proving why polish matters. Its interfaces consistently felt more finished, and it created the best promotional trailer in the Remotion test.

GPT 5.6 Sol had mixed results but wasn't out of the race. It stood out with camera control, racer builds, layout quality, and one of the strongest orbit simulations.

One pattern kept repeating: benchmarks don't tell the whole story. The same prompt produced four very different outcomes depending on the task.

My overall ranking after 23 tests: Fable 5 first, Kimi K3 second, Qwen 3.8 close behind, and GPT 5.6 Sol strong in specific categories rather than across the board.

Watch here: https://t.co/sUuTDQCNLX

Free Prompt Pack: https://t.co/Yy4IDlBixD

Want the Agent OS workflows, model masterclasses, and live coaching that goes beyond benchmark charts? Join here: https://t.co/rfAmlPVJ3o

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GPT-5.6 Got DESTROYED By Qwen 3.8 Max

A 2.4 trillion parameter AI model just claimed it's second only to Fable 5.

That statement alone makes Qwen 3.8 Max Preview one of the most interesting AI launches of the week.

Only days before this release, Kimi K3 was already making headlines with claims of outperforming GPT 5.6 for front-end coding.

The pace of competition is accelerating.

Qwen uses a Mixture of Experts architecture.

Instead of activating the entire model for every prompt, it routes requests to specialist components, making a massive model more efficient.

The model reportedly supports text, images, video, documents, structured outputs, and a 1 million token context window.

That's far beyond being just another coding model.

Alibaba hasn't published the exact expert count or active parameters per token.

So while the department analogy helps explain the concept, those implementation details remain unconfirmed.

A practical test was more interesting than the announcement.

The model generated a complete HTML, CSS, and vanilla JavaScript landing page in a single file explaining its own architecture and specifications.

One takeaway from the discussion: don't rely only on benchmark charts.

Real-world testing across many builds often tells you much more about usability than leaderboard rankings.

Source:
https://t.co/yABNnC84qf

Watch here;
https://t.co/Yy4IDlBixD

Want live breakdowns of new AI models, workflows, prompts, and coaching as releases happen?

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This FREE Claude Code Is INSANE!
Token costs make people avoid ambitious coding projects.

This workflow replaces that hesitation with a free local setup that's reported to be up to 90% faster using Google's latest Gemma 4 update.

Claude Code stays the same.

The difference is pointing it at a free local model instead of paying for cloud usage on every task.

The demo shows the Agent OS creating a landing page, building a Space Invaders game, and generating a business to-do app from simple prompts.

Setup is only three steps:
• Install Ollama
• Download Gemma 4
• Connect it to Claude Code

After that, the Agent OS handles coding in the background.

The built-in memory keeps track of projects while you work, making it useful for ongoing business tasks instead of isolated prompts.

No Mac?

The workflow also demonstrates using OpenRouter to get a free Gemma 4 key, making the same approach available on other systems.

There's even a third option with the built-in local engine for creating and previewing projects directly inside the workspace.

Watch here: https://t.co/xln9aM7Y46

Free AI Prompt Pack:
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Want the complete ready-to-install Agent OS, model routing playbooks, and weekly AI updates?

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Hermes Just Became A 10X Automation Monster
https://t.co/rfAmlPWgSW

Most people use AI one prompt at a time.

This setup turns Hermes into a connected team of AI agents that keep working after you close your laptop.

Hermes Cloud moves your agent online with one click so it keeps running 24/7 instead of stopping when your computer is off.

Agent OS gives access to 200+ AI models. You can match lightweight models to simple jobs and larger models to more demanding tasks instead of using one model for everything.

The outreach workflow uses Hunter API to find business emails, build campaigns, send messages through Google Workspace, then read and reply to responses automatically.

Oracle refreshes every 24 hours with fresh industry news from Twitter, categorizes each story, links to the original post, and suggests content angles you can publish.

Astros watches creators, finds emerging topics, scores opportunities, and stores everything in shared memory so every connected agent benefits from what was learned.

The video workflow researches a topic, writes the script, generates visuals, uses HeyGen for avatars, renders with Remotion, and runs in the background.

Source:
https://t.co/AsyHNyw4Cq

Free AI Prompt Pack:
https://t.co/Yy4IDlBQnb

Want the complete Agent OS setup with the install files, roadmap, walkthroughs, prompts, and coaching?
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[Sanny Recommends @jarvana_sv]

This Kimi K3 Agent OS Is WILD

https://t.co/rfAmlPWgSW

Kimi K3 may be the most interesting open-weight AI release this year.

It ships with a 1 million token context window, strong coding performance, and benchmark wins over Claude Opus 4.8 in several categories.

Instead of judging it from leaderboards, I connected it directly into my Agent OS and tested real workflows. That's where models either prove themselves or fall apart.

Moonshot AI says Kimi K3 is a 2.8 trillion parameter open-weight model, making it the largest open-weight release so far. That's a significant milestone for open AI development.

The 1 million token context window is a major upgrade from the previous Kimi model's 256K tokens. That makes a real difference when working with large codebases, long documents, and extended agent sessions.

Kimi K3 also climbed to the top of the Design Arena leaderboard. My own website tests still needed custom design instructions, but once those were added the output improved noticeably.

A side-by-side 3D racing game test showed the biggest jump. The older Kimi version produced a rough prototype. Kimi K3 generated a much more polished result with smoother gameplay and better structure.

I also integrated it into Hermes Agent inside my Agent OS. Because it's available on an affordable coding plan, I could run agentic workflows without the costs rising like some closed models.

Watch here: https://t.co/nyTRQWLyrO

Free AI Prompt Pack:
https://t.co/Yy4IDlBQnb

Want to see how new models get plugged into a real Agent OS with walkthroughs and ready-to-install resources?

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Kimi K3 Just Changed The AI Race

Kimi K3 just changed the conversation around open AI models.

The headline isn't 2.8 trillion parameters. It's what happens when you combine massive context, vision, and long autonomous execution.

A 1 million token context means roughly 750,000 words stay available at once. Entire codebases, document collections, or long project histories can stay in memory instead of constantly being reloaded.

Moonshot also introduced Kimi Delta Attention, allowing those huge contexts to process up to six times faster than the previous approach. Big memory only matters if it stays usable.

The feature that caught my attention is vision in the loop. Kimi K3 can inspect screenshots of its own work, spot layout or design issues, and revise them instead of generating everything blindly.

Benchmark scores are impressive, but I care more about shipping work. So I gave it one prompt: build a complete playable 3D browser game with no follow-up fixes.

It thought for around 13 minutes, wrote nearly 31,000 tokens of code, and the game launched with working controls, collectibles, obstacles, scoring, and game-over mechanics.

I integrated it into my Agent OS the same afternoon so it could take long unattended jobs while my other models handled different tasks.

Source: https://t.co/iDOrzxTICb

Free AI Prompt Pack: https://t.co/Yy4IDlBQnb

Want the workflows, agent setup, and tutorials used to put models like this to work?

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