Tag archive
Stop scoring your local model on how close it gets to Opus. It is a different tool with a different sweet spot. Here is the line, and which side your work sits on.
Local LLMs are useful when the loop proves the output, not when the benchmark looks good. This is the small gate I use before a local coding agent gets more rope.
One 'SkillsGuard' variant was pulled as malware. Learn to use AgentGuard v1.1.28 (MIT, GoPlus) to scan agent skills and block dangerous LLM
What Anthropic's MITRE ATT&CK report means for solo AI builders Anthropic just...
Salesforce shipped roughly 20,000 Agentforce deployments and found 90% of agent work happens after launch. Here is what that means for a solo builder running a small agent fleet.
Anthropic filed for IPO at a $47B run-rate while 40% of enterprise customers report under 10% cost savings from Claude. Here is how to close that gap.
JPMorgan turned on AI for 250k people. The quiet line is that the usage racks up fees. Here is how to control the bill before it arrives.
A 2026 Mem0 survey found 57-71% cross-user memory contamination across major agent frameworks. Here is why it happens and how to stop it.
The cost gap between what an AI agent could cost and what it does cost is 40%. You close it at the call site, not in a dashboard. Here is how.
A June 2026 Mem0 survey of 8 major agent harnesses found that over half of them leak memory across users. Here is why keyword retrieval is a security risk and how to fix it.
Agent count is a vanity metric. It tells you about volume, not value. Here is what I track instead after running a one-person AI fleet.
I run a one-person company on scheduled agents and gave almost none of them memory. They write to files instead. Here is why that wins.