Lana C.

Kristofer L. you may DM me and will explain how i can help you with that

Im familiar with semantic search and conversational retrieval. i was considering your tool for myself and trying to understand more clearly is how you handle hallucinations, especially when it comes to inference and enrichment from soft signals. Im also curious about the actual conversion impact from the chatbot in practice. I’m evaluating this for my business with horizontal processes rather than vertical, where intent patterns and documentation can be much less consistent. Does the product still perform well there, or is it primarily optimized for repeatable, vertical-specific business cases?

Hi Peter, curious what data or signals does the bot use to answer questions and infer intent. and how customizable is that per client? and how do you avoid hallucinated enrichment?

If you’re considering white labeling it for clients, it’s worth thinking about whether you want to own billing and support versus starting with an affiliate partnership first. White labeling means you need to know the tool very well and be comfortable supporting clients on it, otherwise you may end up taking on extra ops and maintenance.

agree with Harshil B., in my experience it works best to map and validate the user journey first, run the process manually, analyze where it actually breaks, and then automate. Otherwise automation just amplifies the wrong thing, regardless of whether its n8n or native tool.

I wouldn’t start with one AI agent that does everything. It works better to split the work into smaller roles, like prospecting, qualifying, nurturing, and sales. Keeping a human in the loop is important at any scale. AI should handle volume and repetition, humans should handle judgment and closing parts. I d suggest starting with assistive AI, move toward autonomy in phases.

Tammy D. tbh, can't tell you if they're good without understanding your goals, industry, and what you're optimizing for. Row 4 looks impressive at face value, but context matters. I'm not an SEO specialist. I'm a former data analyst. If you want, I can explain the metrics, ROI, and relationships between them considering your particular business in a consultation.

shiv H. I do quick 15-20 min paid stack reviews. perfect for this kind of sanity check. DM me if you want to book one.

shiv H. the switch point is usually multi-source enrichment (bidirectional sync) or complex conditional routing. For in-house capability I d say: min is someone comfortable with apis, json, and logical troubleshooting. However, its getting into the specifics of your exact setup and goals, so happy to explore that in a proper consultation if you want.

Great question. I only use n8n when it's really needed. Let's break it down step by step, asking yourslef: what stack do you need to connect and who will build and maintain it, as it requires tech skills for debugging, API work, etc? I would use n8n in situations when you have complex conditional logic your crm can't handle; you need to connect tools without native integrations; you're working with non-standard data flows. Situations when you don't have to make it too complex: workflows are straightforward and classic, even lifecycle triggers are manageable by generic crm and automations platforms like zapier or make. However, I think your industry matters too: just consulted a real estate agency that needs n8n because they're connecting MLS feeds, transaction management systems, and custom property DBs that are very complex, and standard marketing automation is not helpful in their case.