End-to-end · The assistant takes action
The assistant doesn't just respond. It acts.
Once it understands what's needed, it doesn't stop at the answer: it sends the email, sends the message, and notifies the right person. Communications are hardwired into the same system—not a separate service to maintain.
REQUEST
“I would like a table for 4, tomorrow evening around 8:30pm.”
01 INTERPRETER LLM
intent
reservation
DERIVATIVE
covered
4
DECLARED
when
tomorrow · 8:30 PM
DECLARED
channel
chat site · en
DETECTED
02 DECIDE RULES
availability (8:30 pm, 4)
OK · 3 free tables
policy(human_confirmation)
room notification
03 EXECUTES TOOL
send_email(customer confirmation)
✓ sent
notify_operator(room)
✓ warned
OUTCOME
Reservation confirmed · room operator notified.
REQUEST
“I need a quote for 12 double-glazed PVC windows.”
01 INTERPRETER LLM
product
PVC window
DECLARED
amount
12
DECLARED
glass
double
DECLARED
norm
UNI 7697
DERIVATIVE
02 DECIDE RULES
glass_class(environment)
compliant with UNI 7697
segment(distinct)
12 lines · 1 type
03 EXECUTES TOOL
generate_pdf(bill of materials + estimate)
✓ created
send_email(operator + customer)
✓ sent
OUTCOME
Compliant bill of materials generated · estimate in the operator's inbox.
REQUEST
“What discount do you give me on 500 custom pieces?”
01 INTERPRETER LLM
intent
price request
DERIVATIVE
volume
500 · custom
DECLARED
list
not available
DETECTED
02 DECIDE RULES
confidence(price) < threshold
do not estimate
policy(zero_inventions)
human handoff
03 EXECUTES TOOL
notify_operator(commercial)
✓ warned
send_invite(direct contact)
✓ proposed
OUTCOME
No made-up price. Request passed to a person.
ZERO INVENTIONS
Choose a scenario · watch the pipeline work
Once it understands what's needed, it doesn't stop at the answer: it sends the email, sends the message, and notifies the right person. Communications are hardwired into the same system—not a separate service to maintain.
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