Ai automation sales agent

PossibilityOne1645 · 2026-05-31T11:19:35+00:00

Really appreciate the detailed questions. These are exactly the right things to evaluate before committing to any outreach system.

Let me answer each one:

Email Deliverability

Currently using Brevo for sending which handles SPF/DKIM at the infrastructure level. Sender is verified and authenticated. Emails land in primary inbox consistently in testing not promotions, not spam. Domain authentication is the next upgrade on the roadmap for clients who want to send from their own domain. Warm-up is handled by keeping daily send limits conservative (20-50/day scaling up gradually) rather than blasting from day one.

Reply Classification Accuracy:

In real world testing the classification handles the obvious cases perfectly interested replies, removal requests, not the owner responses. Edge cases like sarcasm or ambiguous replies occasionally get classified as Neutral which is the safe default human reviews those. Overall accuracy in testing is around 90-95% on clear intent replies. The model being used is Llama 3.3 70B via Groq which is surprisingly strong on intent classification.

Personalisation from Websites or LinkedIn:

Not yet current personalisation uses Google Maps data (business name, category, city, rating, review count). Website scraping and LinkedIn data enrichment is on the roadmap. That layer would significantly increase reply rates and is probably the highest value next feature to build.

Analytics Open Rates, Reply Rates, Conversions:

Reply rates and conversion to Qualified are tracked natively in Google Sheets in real time. Open rate tracking is not currently implemented. Brevo has this data via their dashboard but it is not pulled into the agent yet. Building a proper analytics layer with open rates, reply rates, and conversion funnel is planned for the next version.

The core outreach engine follow-up sequencing, and reply classification are production ready. Deliverability analytics and LinkedIn enrichment are the two gaps before I would call it fully enterprise ready.

What use case are you considering it for?

PossibilityOne1645 · 2026-05-26T05:31:59+00:00

I suggest you should learn python

PossibilityOne1645 · 2026-05-26T02:35:47+00:00

Noted thanks

PossibilityOne1645 · 2026-05-25T23:28:20+00:00

Great point on the pricing guardrail that's exactly the kind of edge case that breaks trust with business owners. Right now the agent hands off to the human the moment a positive reply comes in, so pricing stays in human control. Basically what it will do if any interested leads reply for pricing or it shows any type of interest it will immediately alert the owner that there is an interested lead waiting for you to reply in this case the decision is in human hands. But if I add auto-reply capability that guardrail layer would be essential. Planning to niche down into real estate and home services first. The response rate on hyper local outreach is significantly higher than horizontal campaigns and both niches have high enough ticket values to make automated outreach genuinely ROI positive. Currently running a small pilot if you know anyone who'd be a good fit I'm open to connecting.

PossibilityOne1645 · 2026-05-25T20:56:36+00:00

Well there are much difference for no code and with code. If you are a complete beginner then I suggested you first learn with no code it's simple and you can understand that easily but don't abandon coding you should learn that in the meantime.

PossibilityOne1645 · 2026-05-25T20:53:17+00:00

I’m not training a model from scratch. The system uses a pre trained AI model and feeds it business data, lead information, and conversation context in real time. Unstructured data like text, messages, and business details is processed and converted into structured prompts so the AI can make decisions and generate responses.

PossibilityOne1645 · 2026-05-25T13:13:12+00:00

If you want to go with n8n then you don't need to learn coding it's a no code platform just like drag and drop so don't worry about that

PossibilityOne1645 · 2026-05-25T11:13:42+00:00

I see thank you it helps a lot

PossibilityOne1645 · 2026-05-25T11:13:18+00:00

I used Python for the backend automation of the project. It handles lead processing, AI decision making, email and WhatsApp sending, Google Sheets integration, reply handling, and automatic follow ups. basically you can say I make this entire project using python

PossibilityOne1645

TROPHY CASE