u/MasterAnime

▲ 1 r/SaaS

Founder here.

I've been deep in the Google review space for a while now and I keep seeing the same thing. Every tool either auto-replies to everything with some robotic "Thank you for your feedback!" or they charge $75-99/mo for what's basically a fancy dashboard that still makes you write the reply yourself.

Both approaches miss the point.

The auto-reply people? I've seen businesses get destroyed because their AI apologized on their behalf to a 1-star review at 2am and the customer screenshotted it and posted it everywhere. You cannot have a machine saying sorry on your behalf when someone's upset. That's not customer service, that's a ticking time bomb.

And the expensive dashboard people? A salon owner in my neighborhood told me she pays $89/mo for some review tool and she still writes every reply herself because the "AI suggestions" are just obvious templates. She's paying for a notification system basically.

Here's what I think nobody is getting right. When a positive review comes in, the business owner doesn't need to write a reply from scratch. They need 3 good options on their phone so they can tap one and move on with their day. But when a negative review comes in, that's not the moment for automation. That's the moment for an alert. Wake up, read it, handle it yourself like a human.

I also think there's this massive pricing dead zone in this market. Free tools are useless. First paid tier on most platforms starts at $29-49 and jumps to $75-99 real fast. Small businesses, I'm talking your local bakery, your barbershop, your dental clinic, they're not paying $89 a month for this. But they'd pay $19. That gap is just sitting there.

So I'm building ReviewPulse. 3 AI reply options per review, you pick one, you post it. Negative reviews get an alert instead. There's brand voice training so the replies actually sound like you. Free tier with 5 replies a month, $19/mo for 100 replies. That's it. No feature bloat, no 47 settings panels.

Still building it, not launched yet. I'm not here to sell anything, just wanted to put this out there because I genuinely think the existing tools are leaving money on the table by either over-automating or overcharging. If you've used any of these tools, I'd love to hear what pissed you off about them. That's basically my product roadmap at this point.

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u/MasterAnime — 6 days ago
▲ 32 r/n8n

Real production scar story, not a self-promo dump. Hopefully useful to anyone running agentic flows here.

The setup: WhatsApp sales agent for a UK client. n8n AI Agent node, Groq Llama 70B as the chat model, three tools wired up:

  1. lookup_customer (MySQL)

  2. create_payment_link (Stripe)

  3. send_whatsapp (Meta Cloud API)

Customer messages "I want to pay". Agent should run 1, 2, 3 in that exact order.

The bug: roughly 15 to 20 percent of executions, Llama 70B decided it did not need to call the MySQL lookup. Skipped it. Made up a customer_id. Called Stripe with that fake ID. Sent a broken payment link to the real customer.

Client lost two sales in one day before I noticed in the logs.

What did NOT fix it:

- Stricter system prompt with "ALWAYS lookup customer FIRST"

- Few shot examples showing the correct sequence

- "Required" wording in tool descriptions

- Different temperature settings

The problem is fundamental. AI Agent node in n8n exposes all tools simultaneously. The LLM is probabilistic. It chooses what to call based on token probabilities. When the prompt and the model disagree, the model wins. Always.

What I built: n8n-rails. A community node that wraps your LLM call and exposes only ONE tool at a time. Step 1 runs, you only see lookup_customer. Step 2, only stripe_create_link. Step 3, only whatsapp_send. The model literally cannot pick a different tool because the others are not in the prompt.

It also forces tool_choice required so the LLM cannot refuse to call.

Works with any OpenAI-compatible provider: OpenAI, Groq, DeepSeek, Together AI, OpenRouter (which gateways to Claude and Gemini), Ollama, LM Studio. Any of them.

This is v0.1, just sequencing. Roadmap:

- v0.2: Zod validation between steps (catch hallucinations before they hit Stripe)

- v0.3: Multi model failover (if Groq refuses, retry with Claude automatically)

- v0.4: Step replay UI for debugging

Free, MIT, drop into any n8n workflow.

Repo with full README and demo: https://github.com/masteranime/n8n-rails

Install: npm install n8n-nodes-rails

Honest about what v0.1 does NOT do yet. Just sequencing. Validation and failover come in next two weeks.

Happy to take feedback or PRs from anyone running agents in production. If you have hit this same wall, would love to hear your war stories.

u/MasterAnime — 11 days ago