AI agents are not as beautiful as the marketing hype. Many companies already slowing down or stopping because token, GPU, cloud and maintenance costs become too high.
The real mistake is using LLM for everything. Simple tasks should run through parsers, rule-based automation or detached systems, while AI is only used when really needed.
SME adoption of AI agents is starting to slow down, not because AI is weak, but because too much hype has been sold too early.Many people are promoting AI...
We cut token usage by up to 90% by stopping AI from doing work that normal software can already handle better. It may not look sexy, but putting an LLM or...
ISO maintenance is often more challenging than getting certified. After certification, companies still need to maintain records, review procedures, track c...
SME adoption of AI agents is starting to slow down, not because AI is weak, but because too much hype has been sold too early.Many people are promoting AI...
With NeuralOps, we believe the future of AI is not only about bigger models, larger GPU clusters, and massive cloud infrastructure. The real opportunity is...
From one SME founder to another.When using AI agents like OpenClaw / OpenCode to build detached systems and PHP microservices, I believe they should be tre...
Every article page should end with a clear path into the wider AINNA, Agent, and NeuralOps ecosystem.
Linux is the core path, Windows is supported, and Android / Termux works as the companion layer.
↓ 461 installscurl -fsSL https://ainna.bond/install | bash
ainna --version
iwr https://ainna.bond/install.ps1 -useb | iex
ainna --version
pkg update && pkg install -y curl unzip
AINNA CLI v2.0.29 does not include an Android/Termux build. The previous ARM64 .deb is for compatible Debian-based environments, not Termux.
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Good to finally see rule-based automation or detached systems set out this clearly.
Worth reading just for AI agents.
The direction on rule-based is spot on.
Good write-up. Simple tasks should run through alone was worth the read.
Kami sedang menghadapi AI agents di kantor. Berguna.
The case for rule-based is well made.
Useful. We are dealing with simple tasks should run through right now.