Ideas for teams building outcome-led agents.

How we tuned RAG search in Postgres for a hostel chain's voice agent. Hybrid search, chunk budgets and dropping repeated words lifted answers found to 89%.

Mystery shop of hotel and villa group booking enquiries in the US and UK: reply times, pricing, follow-up and how many sent a bookable quote.

Build a campaign's follow-ups once in Osvi, as a workflow of calls, chats, waits and actions, and let every contact take the path that fits them.

How hostels automate group booking quotes on WhatsApp: put pricing rules in code, collect the brief, send a booking link and follow up until the group pays.

Hotel website chat that quotes live rates, holds the room and sends a payment link, plus how to pick a widget, an inline panel or a chat in your portal.

An AI receptionist for hotels can answer every call and take bookings. Refunds, bad data and noisy lines still need a person. See where the line sits.

How hotels automate WhatsApp bookings: choose the right WhatsApp product, connect live rates, take payment by link, and follow up within Meta's 2026 rules.

How to cut OTA commissions: 7 steps hotels use to win more direct bookings, from parity clauses and Google listings to fast WhatsApp and phone replies.

Prompt writing took 5 to 10% of the build time for Zostel's support agents. Integrations, testing and debugging took the rest. Plan your build or buy around it.

How Osvi uses TypeSafe's Jev model to classify which AOP a customer message triggers: three times faster than DeepSeek, with false alarms cut from 24 to 5.

Voice bots handle one interaction. Osvi Journey carries the work across days, channels, and business systems until completion.

Where the time goes in a voice AI response, from speech-to-text to telephony, how users perceive the delay, and what you can do to cut it.

Customer intent and context decide which inbound and outbound voice AI use cases succeed and which waste your budget, with numbers from healthcare.

How Agent Flows fix the limits of single-prompt voice agents by splitting one large prompt into a graph of scoped nodes and routing edges.