the agency-to-product path gives you a good place to make the lead score trustworthy. i would show the exact evidence behind hot, warm, or cold—such as the requested service, budget signal, and booking intent—and allow an "unknown" state when the chat does not contain enough information. later, compare the score with the actual outcome and show where the rule was wrong. that feedback loop could become more valuable than the label itself.
Thank you for the insightful feedback. Exposing the reasoning behind the scoring, such as budget signals and booking intent, is a priority on our roadmap. Adding an "unknown" state and a feedback loop to refine the AI accuracy will certainly elevate the product value for agencies. We will explore implementing these features in an upcoming release.
the agency-to-product path gives you a good place to make the lead score trustworthy. i would show the exact evidence behind hot, warm, or cold—such as the requested service, budget signal, and booking intent—and allow an "unknown" state when the chat does not contain enough information. later, compare the score with the actual outcome and show where the rule was wrong. that feedback loop could become more valuable than the label itself.
The agency-to-product transition is the strongest part here. Building Sabriel around workflows you've already implemented for real clients gives the product more credibility than starting from a hypothetical use case.
I appreciate your comment. Building Sabriel AI based on real workflows from our agency clients was essential to ensure we solved actual operational bottlenecks. This practical foundation allows the plugin to deliver immediate value directly from the initial setup.
Exactly. Solving a bottleneck that we previously spent manual hours fixing makes the value proposition immediate. It prevents us from guessing unnecessary features and allows us to focus entirely on scaling workflows that are already proven to work.
You can check out Launch Nest if you want an additional place to showcase your product. Launch your product for free, discover what other makers are building, and grow your visibility.
You can also get your product featured for free using earned credits.
Thank you for the recommendation. We are currently focusing on gathering feedback from our core users, but we will keep Launch Nest in mind as we expand our visibility efforts.
About
I run a small web agency. Every chatbot I installed for a client answered vaguely and booked nothing, so I built the assistant I wanted: it reads the site, books real appointments in chat, and writes a PDF quote.
10 Comments
the agency-to-product path gives you a good place to make the lead score trustworthy. i would show the exact evidence behind hot, warm, or cold—such as the requested service, budget signal, and booking intent—and allow an "unknown" state when the chat does not contain enough information. later, compare the score with the actual outcome and show where the rule was wrong. that feedback loop could become more valuable than the label itself.
the agency-to-product path gives you a good place to make the lead score trustworthy. i would show the exact evidence behind hot, warm, or cold—such as the requested service, budget signal, and booking intent—and allow an "unknown" state when the chat does not contain enough information. later, compare the score with the actual outcome and show where the rule was wrong. that feedback loop could become more valuable than the label itself.
The agency-to-product transition is the strongest part here. Building Sabriel around workflows you've already implemented for real clients gives the product more credibility than starting from a hypothetical use case.
You can check out Launch Nest if you want an additional place to showcase your product. Launch your product for free, discover what other makers are building, and grow your visibility.
You can also get your product featured for free using earned credits.
https://launch-nest-ai.base44.app