How to Choose an AI Chatbot Platform: No-Code, Hosted or Custom Build
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Choosing an AI chatbot platform is less about the brand name and more about matching the tool to your actual requirements. Pick something too simple and you hit a wall when you need a real integration; pick something too heavy and you burn months building what a hosted tool would have done in an afternoon. Here is how to decide.
Start with requirements, not products
Before comparing tools, write down what the chatbot must actually do. The answers determine everything else:
- Primary job — support deflection, lead capture, bookings, or internal knowledge?
- Where the knowledge lives — a help centre, PDFs, a database, or a live system?
- Integrations — does it need to write to your CRM, read order status, or book into a calendar?
- Data sensitivity — are you handling personal, health or financial data with residency rules?
- Volume and budget — how many conversations a month, and what can you spend?
A vague brief leads to buying the wrong tier. A precise one makes the choice almost obvious.
The three routes
1. No-code hosted platform
You configure everything in a dashboard and embed a script tag. Fastest and cheapest, ideal for support FAQs and lead capture. SpideyChat, our own hosted chatbot, is an example: describe the bot in plain language or point it at your site, and it is live in hours with no developer.
2. Hosted platform plus developer
A middle path: a commercial platform with an API, wired into your systems by a developer. More flexible than pure no-code, faster than building from scratch.
3. Fully custom build
A bespoke assistant built on an LLM and your own data, hosted where you choose and integrated with anything. The most powerful and the most effort — this is the kind of system SpiderHunts delivers through AI chatbot development and custom software.
A decision table
| If you need… | Choose |
|---|---|
| To launch this week on a small budget | No-code hosted |
| A few integrations but not deep ones | Platform + developer |
| Deep system integration or strict data rules | Custom build |
| Very high conversation volume | Custom (to control per-message cost) |
Evaluation criteria that matter
Whichever route you take, judge any option against these:
- Grounding accuracy — does it answer from your content, or make things up? Test with your own tricky questions.
- Integrations — are the connectors you need first-class, or a fragile workaround?
- Data privacy — where is data processed and stored, how long is it kept, and is there a data-processing agreement?
- Pricing model — flat, tiered or usage-based, and how does the bill look at 10× today's volume?
- Human handoff — can it escalate to a person cleanly, with context?
- Analytics — can you see engagement, capture rate and unanswered questions?
Red flags to avoid
- A demo that only works on the vendor's cherry-picked questions.
- No clear answer on where your data goes or how long it is retained.
- Usage pricing with no cap, so a traffic spike becomes a surprise invoice.
- No human-handoff path — a bot with nowhere to escalate frustrates customers.
- Lock-in with no way to export your training content or transcripts.
Our recommendation
For most businesses: start no-code to validate demand and learn what customers actually ask, then move to a custom build only when you hit a real limit — a needed integration, a data-residency rule, or a volume where per-message pricing stops making sense. That sequence gets you value quickly and spends money only where it is justified.
Not sure which route fits?
SpiderHunts Technologies helps businesses choose and build the right chatbot — hosted, hybrid or fully custom. Book a free 30-minute consultation and we will map it to your requirements.