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Hi!

Im building Opero.so (WhatsApp AI agents platform). Wanted to share the architecture of what I think is the most impactful feature Ive shipped.

The setup is probably familiar. Customer asks something the bot cant ground in its knowledge base. Traditional flow: bot refuses, writes a row in a dashboard nobody opens, knowledge plateaus.

I did something different. When a gap is detected:

1. Agent refuses honestly to the customer (“Ill check with the team”)
2. Notification fires to the owners WhatsApp (same number the customer wrote to, which matters for delivery trust)
3. Owner replies in plain text. Not quote-reply, not form. Just typing the answer
4. An admin engine surfaces the last 3 pending gaps in its system prompt each turn, so the LLM can match the plain-text reply to the right gap_id
5. Admin shows what itll save and asks “save this?”, waits for confirmation
6. On confirmation: knowledge doc created + original customer auto-messaged back with the answer

The two things that made it work: injecting recent gaps into the prompt (no structured link needed), and normalizing questions so “Do you have X?” and “hi do you have X?” dedupe into one gap.

Full writeup with the Go code and the prompt injection strategy: https://opero.so/blog/ai-agent-texts-boss-when-stuck?utm_source=reddit&utm_campaign=chatbots

Anyone building similar feedback loops? Curious how others are handling the teach-the-bot UX.

I’ve been evaluating different chatbot platforms for a client project and Customgpt and ChatBase keeps coming up. The marketing looks great, but I’d love to hear from people who’ve actually used it in real-world scenarios.

I’ve been evaluating different chatbot platforms for a client project and I have narrowed it down to ChatBase, CustomGPT, and Crisp, but I want to get beyond marketing materials.

If you’ve used any of these platforms, I’d love to hear about:

Technical limitations:

• What breaks or doesn’t work as advertised?
• Performance issues with high traffic?
• API restrictions or limitations?

Integration challenges:

• How difficult was implementation?
• Any compatibility issues with specific website platforms?
• Custom styling limitations?

Feature gaps:

• What’s missing that should be there?
• Which one has the best knowledge retrieval?
• Do any struggle with complex questions?

I’m particularly interested in ChatBase vs SiteGPT for knowledge-base functionality, and Crisp for customer support integration.

Appreciate any real-world experiences!

Help?

I tested a few roleplay with multiple apps. But teach me, what is the best way to roleplay? Like how do you arrange the dialogues or actions, scenes, etc

Would be nice if you could give an example as well. I also still confused about how to put emotions, and sometimes when my intention is to put “thoughts”, the chatbot sees it as dialogue and responded as if she heard that

hey everyone, so i’ve been heads down building this WordPress plugin for the past few months and i think it’s finally ready to share with you guys

basically it gives your n8n agents a proper frontend on WordPress — no more paying for Voiceflow or Botpress seats, no more hacking together ugly chat UIs for clients. just plug it in and you’re done.

currently WordPress only but SaaS version with shortcode embed is on the roadmap

what it does rn:

• connects directly to your n8n webhook (auth included)
• bubble or embedded chat, your choice
• basically fully customizable via UI + custom CSS if you’re into that
• supports text, buttons, carousels, images, WooCommerce products, forms — the whole vibe
• built-in UI builder so you can create message tools for your agents with zero coding or JSON nonsense
• chain messages with configurable delays between them (actually clean UX)
• auto messages on chat open
• quick setup with a starter demo agent so you’re not starting from scratch
• chat viewer to see all your conversations
• WooCommerce support with cart + checkout redirect
• pre-chat banner for GDPR stuff (email, phone collection)
• webhook fires when a lead comes in
• A/B testing for chatbots
• chat history

coming soon (the fun stuff):

• human handoff
• agent marketplace — literally copy paste ready-made agents, no setup
• bot sends attachments (PDFs, files, whatever)
• users can record and send audio
• calendar message type
• bot plays video directly in chat
• multi-session support

anyway lmk what you think, would you actually use this? drop any feature requests below, i’m all ears

I have a budget of $500 to learn and try and get some automation through ai for like betting markets. So I’m wondering if anyone has actually made a successful bot that bets for them?

I’m so tired of having to explain to AI all the moral reasons for wanting to learn things. Also having them reject answering or initially offer other solutions is so annoying because most of the time I can convince the AI to answer anyways it just takes way too much time. If it were good at technical topics as well that would be ideal?