From the meLink team
Category: Agentic AI
-

GLM-5.3 Open Weights Put Agent Risk in View
GLM-5.3 open weights bring stronger coding and long-horizon tasks to builders. The important question is how to evaluate and deploy…
-

Gemini Omni 1.1 Flash Brings Video Under Control
Gemini Omni 1.1 Flash adds scene extension, preview controls and 4K output. Why its workflow controls matter to AI builders.
-

When Not to Use AI: Lanes Worth Keeping Human
Knowing when not to use AI is the highest-leverage skill in practical adoption. Here’s how to identify the business functions…
-

Qwen3.8 27B Gives Agents Eyes Without the Bloat
Qwen3.8 27B and Flash-Next give builders a new choice: compact multimodal agent capability or an efficient routed architecture to test.
-

An AI Promise Map Keeps Assistants on Brand
An AI promise map gives a small team a practical way to connect customer-facing claims to evidence, owners, and safe…
-

Apple M5 Ultra Makes Big Local AI a Desktop Decision
Apple’s M5 Ultra brings up to 512GB unified memory to the desktop, widening the practical choices for private, local AI…
-

AI Choice Architecture: Let Customers Choose the Lane
AI choice architecture gives website visitors a clear route to quick answers, private research, or a human conversation—without forcing a…
-

Thomson Reuters Model Is a $40M Bet on Trust
Thomson Reuters built Thomson around proprietary expertise and verification. The $40m bet shows why trustworthy AI is a system, not…
-

AI Dependency Map: Know What Your Agent Relies On
An AI dependency map shows the services, sources, permissions, owners, and fallbacks behind an agent before a small failure becomes…
