(01)
Claude Code writes 4% of all public GitHub commits — what it means for teams
SemiAnalysis says 4% of public GitHub commits ran through Claude Code in March 2026. They project 20% by December. Here is what actually changed in hiring and review.
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(02)
SEO in the AI Overview era — what actually changed
Google AI Overview, Yandex Neuro and Perplexity take clicks away from the classic SERP. What to change in your site and content to stay visible.
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(03)
Hermes 3 as an agent: function calling and tool use on your own server
Hermes 3 from Nous Research is a Llama 3.1 fine-tune tuned for function calling and role-based prompting. What it can do as an agent and why teams pick it over OpenAI when data cannot leave the perimeter.
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(04)
Hermes 3 8B vs OpenAI: cost and quality on typical workloads
When does it make sense to run your own Hermes 3 8B on an A10 vs paying OpenAI for gpt-4o-mini. Real numbers across three workloads: ticket classification, document summaries, function-calling agents.
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(05)
AI video generation tools — 2026 review
Sora 2, Veo 3, Kling 2, Runway Gen-4, Pika, Luma. What each tool actually delivers and how much a typical clip costs.
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(06)
Writing scripts for AI video — what changes
A prompt for AI is not a script. It is a technical brief where every word carries weight. What to write and how to break it down.
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(07)
AI video for product marketing — what works
Which AI video formats actually drive installs and sales — and where AI is best avoided because users notice.
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(08)
AI avatars and UGC ads — ethics and effectiveness
A $5 AI creator instead of a $5,000 real influencer. Technically yes. Effectively — not always. Where the line is.
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(09)
Creative velocity with AI video — A/B tests in a day
Creative tests used to drag for months. With AI a team ships 20 variants in a day. What that changes.
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(10)
Localizing video with AI: voice, lip-sync, translation
One English clip becomes 12 localizations with proper articulation in an hour. Stack and pitfalls.
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(11)
Where AI video still fails
The tech moved fast but 30% of generations still go to the trash. Concrete failure cases and workarounds.
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(12)
Anthropic's MCP — a year in, who actually uses it
Model Context Protocol launched as the "USB-C of AI tools". After a year — solid traction with developer tools, slow elsewhere.
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(13)
AI-generated images for ads — Midjourney, Sora, Flux
A year of generative ads. Patterns that work and the visible AI smell that ruins campaigns.
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(14)
Cold email with AI — what works in 2026
GPT can write a cold email in 5 seconds. The hard part is what happens before the writing — research, personalisation, list quality.
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(15)
AGI hype vs ship in 2026
Two years of "AGI is months away" from labs. What actually shipped: better autocomplete, mediocre agents, expensive APIs.
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(16)
AI coding agents — who is worth using
Cursor, Cline, Aider, Copilot. Year of agents. Honest review of who saves time and who wastes it.
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(17)
SEO after AI Overviews — what changed
Google's AI Overviews ate top-of-funnel queries. Click-through rates on informational searches dropped 30-60%. Where SEO still wins.
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(18)
WebGPU finally lands — what to actually build
WebGPU shipped in Chrome, Edge, Firefox and Safari by late 2025. Now what. Browser-side ML inference is the killer app.
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