Eleven demos across the catalogue. Each one runs in this browser with no internet and no login — click, watch, and try to break it. The data is illustrative, but the behaviour is exactly what a real build does, including the parts where it refuses to answer or stops for a human.
Invoice → purchase order → discrepancy judged → payment prepared. Five steps automatic, and a hard stop before money moves.
Open demo → SYL-002 · ASSISTANTA tuition centre's WhatsApp answers parents from the centre's own fee table and schedule — and refuses to promise grades.
Open demo → SYL-003 · DOCUMENT AIFour invoices hit the inbox. Two get posted, two get stopped — including a duplicate that would have been paid twice.
Open demo → SYL-004 · COMPUTER VISIONOne phone photo of a shelf, counted in three seconds — with the two items it isn't sure about sent to a person.
Open demo → SYL-005a · REPORTSCode computes every number; the AI only writes the sentences around them. Six figures, six traced.
Open demo → SYL-005b · FORECASTINGBacktested at 16.8% error against their own history — and three products it refuses to forecast.
Open demo → SYL-006 · ANYTHING CUSTOMTakes the call, triages by the clinic's own rules, pages the dentist — and gives no clinical advice.
Open demo →Three on-brand drafts waiting for the client's approval. Nothing publishes on its own.
Open demo → SYL-008 · LEAD GENERATION19 delivered, 31 duplicates caught, 65 filtered out — with the reason attached to every grade.
Open demo → SYL-009 · AI SDRPersonalised from real facts about the prospect, with replies routed to a person in 40 seconds.
Open demo → SYL-010 · AI FOR EDUCATIONEleven seconds of teacher's notes become a warm, accurate message — after the teacher approves it.
Open demo →Every demo on this page uses invented companies and scripted data — nothing here is a real client or a measured result, and each page says so. What is real is the behaviour: answers grounded in the client's own documents, arithmetic done in code rather than by a language model, and a person in the loop wherever an error would cost something. When we build for you, accuracy figures come from testing on your data, not from this page.