Notes on making AI actually pay for itself.
Working notes on the parts of applied AI that decide whether it earns money or just costs it — what a voice agent has to get right beyond the voice, grounding retrieval in a live catalogue, the legal basis for B2B prospecting in Greece, what a consolidated software stack really costs, and which no-show interventions survive contact with evidence.
What an AI voice agent has to get right
Sounding human is the easy part and the part everyone demos. The three things that decide whether a phone agent is worth having are duller, and none of them is about the voice.
Read the article→SALESBOT · E-COMMERCEWhat AI product search has to get right
Semantic retrieval, image and voice input, and the one failure mode that destroys trust in a shopping assistant: confidently describing a product you do not sell.
Read the article→PANDORA CRM · COST ANALYSISWhat a six-tool SMB software stack actually costs
List prices for Mailchimp, Calendly, Intercom, Typeform, Hootsuite and Zapier, checked in August 2026 for a five-person business — and the finding that 72% of the bill scales with headcount rather than usage.
Read the article→LEADSBOT · COMPLIANCEGreek B2B data: what GEMI gives you, and what you may lawfully do with it
Greece's commercial registry publishes company email addresses in an open government API — and Greek law makes it unlawful to send marketing to them. The channels that remain legal, and the case that settled it.
Read the article→PLANARO · EVIDENCE REVIEWAppointment no-shows: what the evidence actually supports
The widely-quoted 30% salon no-show rate traces to reports that do not exist. Deposits have one randomised trial and it found nothing. What the research does support is narrower — and more useful.
Read the article→Written by the PandoraBot team. We publish list prices, name our sources, and label customer-reported results as customer-reported. Where we do not have evidence for a claim, we say so.