💥 Don't make a category mistake.
Determinism ≠ “AI with prompts”
Adaptive ≠ “AI with prompts”
Determinism does not come from writing better prompt text.
Determinism comes from execution models.
If your prompt works today, that's just a sample data point.
Certainly not a proof of anything.
…and definitely it does not make LLM deterministic.
Deterministic does not mean “good for me for today”.
Rules, LLMs, and all types of machine learning techniques are important.
But they are not substitutes for each other.
You do not replace rules with LLM prompts.
And you do not replace LLM with rules.
You cannot built adaptive decisions with either rules or LLMs or traditional ML.
💡 These are different execution mechanisms.
They serve different purposes.
Rules provide:
• determinism
• governance
• compliance
• auditability
Machine learning provides:
• classification
• prediction
• learning from historical data
LLMs provide:
• language understanding
• unstructured reasoning support
• assistance, not control
Adaptive models handle:
• uncertainty
• irrelevance
• drift
⚠️ Enterprises Agentic AI should include ALL.
🚀 Go hybrid using Composite AI technology such as Dynamic Decision Graph and DecisionLang, bringing the best of them into a unified model.
If you’re at #LondonTechWeek, let’s chat about decision governance for AI Agents in #Banking and #Insurance.
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Posted here.
Published May 28th, 2026 at 07:30 am
