So your AI assistant confidently tells a client "the invoice is issued" but never actually created it in the system. Classic hallucination. Not magic. Just bad engineering.
Here's what neuroscience says: the brain predicts, does something, sees what happened, compares, fixes. LLMs don't do that. They just generate text.
We need three things AI is missing:
1. **Real actions** – not "I'll write that I sent an invoice" but actually calling the API to create it, then checking it exists.
2. **Hierarchy** – the brain stores goals and rules at the top, messy details at the bottom. AI loses important stuff in the middle of a long chat. So store structure (deadline, budget, agreements) separately from chat noise.
3. **Memory that writes back** – not just reading old docs (RAG). The AI needs to remember what went wrong last time, then at night "sleep" on it and turn mistakes into rules.
Also – **invariants**. Hard rules that cannot be broken. Like: no invoice without bank details. No discount above 10% without manager approval. Check these AFTER every action but BEFORE replying to the customer.
Five steps to make it work:
1. Turn each deal into a structured card (15‑30 fields)
2. List allowed actions (only these, nothing else)
3. Write down 10 invariants
4. Log everything
5. Nightly processing
Result: AI that double‑checks reality. Fewer lies. More trust. And you don't need a PhD in neuroscience – just a bit of structure.
