From the meLink team
Category: Agentic AI
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AI Interruption Design Protects Team Attention
AI interruption design helps teams decide which agent events stay quiet, which wait, and which deserve a person’s attention now.
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Real-SWE Benchmark Puts Coding Agents on Notice
Real-SWE tests coding agents on private production codebases. Its early scores show why verification matters before teams delegate real work.
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AI Sunset Criteria Keep Experiments Honest
AI sunset criteria help teams scale, redesign, or retire AI pilots with evidence, clear ownership, and a safe fallback path.
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Anthropic Threat Report: An Agent Ops Warning
Anthropic’s new threat report shows why capable agents need permission boundaries, audit trails and real human checkpoints.
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AI Model Portability Is a Design Discipline
AI model portability lets teams change providers without losing the rules, safeguards, and customer experience their product depends on.
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DeepSeek V4.1 Flash Shrinks Agent Memory Costs
DeepSeek V4.1 Flash targets a costly agent problem: retaining long context without making memory infrastructure the bottleneck.
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AI Office Hours Build Better Team Habits
AI office hours turn real work into shared AI habits, helping small teams learn faster without losing judgment, privacy or…
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Desert Ant Local Models Move AI Onto Everyday Devices
Desert Ant local models put on-device AI back in focus, giving builders a concrete reason to separate private, fast tasks…
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AI Fallback Policies Keep Your Business Available
AI fallback policies keep customer-facing AI useful when a model, tool, or source is unavailable, without making promises the business…
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ChatGPT Images 2.5 Meets Meta’s Muse Agent
ChatGPT Images 2.5 and Meta Muse signal a shift from isolated outputs to controlled, persistent AI workflows with clearer approvals.