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AI chatbot development

A chatbot gig usually covers scoping the questions the bot should handle, designing the conversation flows, training it on your approved content (website pages, FAQs, policies, price lists), connecting it to your website or socials, setting up handoff to a real person, and testing with the questions your customers actually ask. You also get a handover so you can update the bot's answers yourself, plus a short doc for troubleshooting.

The biggest payback is the same five questions you answer every week: opening hours, pricing, availability, how to book, where you are. A chatbot handles those instantly, around the clock, and captures the enquiry details for follow-up. It does not replace your team; it clears the repetitive questions so a human can spend time on the conversations that need judgement.

Most small business chatbots live on the website, in Facebook Messenger or in Instagram DMs. Behind the scenes they can connect to your booking system, CRM or inbox so enquiries land where you already work. Freelancers typically build on models from OpenAI, Anthropic or Google, wired up with tools like Zapier, Make or a chatbot platform, and recommend the stack off your brief rather than their preference.

Left unguarded, AI models can answer confidently and wrongly. A good freelancer prevents that by restricting the bot to your approved content, telling it to say it does not know and hand off to a human rather than guess, and testing it against tricky questions before launch. Plan to review the chat logs in the first few weeks so the answers can be tightened where customers trip it up.

It can be, if it is set up properly. Customer details should run through a business-tier AI account with model training on your data switched off, and the bot should only collect what you actually need (a name, a contact, the enquiry). Ask the freelancer to walk you through where conversation data is stored and who can see it before you sign off the build.

A straightforward website chatbot trained on your existing content is usually live in 1 to 2 weeks. Bots that connect into your booking system or CRM, or cover more channels, run 2 to 4 weeks. Allow a couple of weeks after launch for watching the logs and refining answers.

You do. The AI platform account, the prompts, the training content and any integrations should all sit in your name, with the freelancer added as a collaborator during the build. On Unjumble, make handover of accounts and documentation a stage, so it is done before the final payment is signed off.

Three things make the build fast. A list of the questions customers actually ask you (check your inbox and DMs for the real wording), the source content with the correct answers (FAQs, policies, prices, hours), and a decision on handoff: who gets notified when the bot passes a conversation to a human, and during what hours.

It depends on three things: how many channels the bot covers (website only is cheapest), how much of your content it needs training on, and whether it connects into systems like your CRM or booking tool. A simple website bot sits at the lower end; deep integrations push it up. There is also a small ongoing cost for the AI model and platform each month. Post the gig with the questions you want handled and compare bids from local freelancers.

Post an AI chatbot development gig in 60 seconds. Describe the work, set your budget and timeframe, and choose whether it is time-based or outcome-based. Local freelancers send a bid with a quote, you compare their profiles, portfolios and reviews, then pick the one that fits. Posting is free, so you only pay for the work.

Every gig runs on a payment schedule you both agree on up front, and every payment is held securely through Stripe. On an outcome-based gig you fund each stage before the work starts and it is released once you sign off. On a time-based gig you are charged for each month as it starts, and it is released to your freelancer once that month has been worked. No chasing invoices, and no paying for work that is not done.