AI agents8 min read
The $20 Lie: Why Local LLMs Fail in Production
The local LLM handled the query, generated the response, and the team celebrated the cost savings.
Read reportLong-form writing for teams who inherit production AI: what breaks after the demo, what to measure, and how to leave the system operable.
44 reports in AI agents
AI agents8 min read
The local LLM handled the query, generated the response, and the team celebrated the cost savings.
Read reportAI agents7 min read
The agent skipped a critical validation step because the previous output was ambiguous, yet the final result appeared correct.
Read reportAI agents8 min read
The demo impressed the C-suite, but the quiet cost is the engineering debt of babysitting an agent that confidently orders 20 pounds of chicken wings.
Read reportAI agents6 min read
Now your finance team is chasing double-charged invoices because the agent retried a payment call that had already succeeded.
Read reportAI agents7 min read
The demo looked flawless, but the quiet cost is the cognitive offloading that erodes your team’s ability to debug edge cases when the system fails.
Read reportAI agents8 min read
The demo impressed the C-suite, but the quiet cost is the engineering debt of retrofitting liability logic after the fact.
Read reportAI agents8 min read
Instead, you face resource exhaustion and cost spikes before the agent finishes.
Read reportAI agents8 min read
Then the first production run corrupted three customer records because the agent’s tool calls executed in an unpredictable order.
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