The Prom Era Is Over: Why Your PKS Needs Agent Engineering for Kos-Efficient AI✎ Edit

👁 229 tontonan
The Prom Era Is Over: Why Your PKS Needs Agent Engineering for Kos-Efficient AI

Era Prom sudah berakhir.

The next competitive advantage in AI isn’t about crafting a cleverer prompt-it’s about engineering an entire workflow that delivers predictable returns.

It’s knowing how to define the workflow, build the harness, and give the Agent a target-so every dollar of AI spend maps directly to a business outcome.

Once the workflow and context are defined, you stop paying for repeated setup and start paying for execution-your team no longer re-explains the same variables.

You simply say:

“This is what I want. Get it done.”

The Agent uses the predefined context, rules, alatan, guardrails and workflow to figure out the execution-so your finance team can unjuran AI spend instead of reacting to it.

Prom Engineering → Agent Engineering-the baharu ROI model for AI adoption.

We’re moving from asking AI questions to giving AI objectives-and that shift lets us tie AI output to key performance indicators and balance-sheet impact.

Ruang pembaca

Apa pendapat anda?

Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.

💬 8 komen pembaca
Farid 🇲🇾 Malaysia · 60.54.*.42

The framing on prom engineering is better than expected.

Siti 🇲🇾 Malaysia · 210.186.*.67

Orang yang tulis ni memang buat kerja rumah pasal era prom sudah berakhir. Bahagian ini saya kena fikir lagi.

Hafiz 🇲🇾 Malaysia · 27.125.*.31

Nice one. build the harness, and give alone worth the read.

Wei 🇨🇳 China · 36.112.*.44

balance-sheet is the part I would forward to my boss.

Mei 🇨🇳 China · 58.20.*.26

Sent this to two people already. It’s knowing how to define is why.

Kavitha 🇮🇳 India · 103.82.*.27

Clearer than the vendor decks I get about era prom sudah berakhir.

Arjun 🇮🇳 India · 49.36.*.55

Worth reading for we’re moving from asking AI alone.

Julin 🇲🇾 Kadazan, Malaysia · 175.136.*.63

Slightly disagree on once the workflow and context, but the direction is right.

Artificial Intelligence

Article image
Ekosistem AINNA

Keep exploring after this article.

Every article page should end with a clear path into the wider AINNA, Agent, and NeuralOps ecosystem.

Semasa topic Artificial Intelligence Author profile Badrul Haziq AINNA Main ecosystem hab Agent Pusat ejen autonomi persendirian NeuralOps AI automation and business systems Lead form Mula a pilot discussion
AINNA Agent AI

Deploy Our AINNA Ejen AI

Linux is the core path, Windows is supported, and Android / Termux works as the companion layer.

7 downloads
Linux / macOS curl -fsSL https://neuralops.bond/install | bash
Verify ainna --version
BioResearch Microbiology & cancer disease research intelligence 6 inputs → traceable research priorities Terokai →
Edge AI IoT & embedded Linux intelligence at the edge 14 edge agents → offline-capable Terokai →
SmartCity AI-powered smart city infrastructure & operations 24 domains → one intelligent operating layer Terokai →
IC DesignOps Repeatability, traceability & verification intelligence 21 detached services → 85% without LLM Terokai →
AINNA
KLIK SAYA
Rotating Earth

Seksyen Laman

Tiada data seksyen tersedia buat masa ini.

Laman dengan seksyen terdokumen akan dipaparkan di sini.