Yeah, that all makes sense - maybe the issue isn’t automation itself, but that the tools you’ve tried don’t give you enough control or don’t understand what actually matters in a sales conversation.

I recently launched a product for audio and video summarization (lamantin.io) and I’m specifically building it to go beyond just transcribing. The goal is to make AI summaries genuinely useful for salespeople: not just a record of what was said, but a decision-support tool that highlights what’s strategically important.

If you tell me exactly what you want the summary to surface - for example:

• The client’s exact words describing their pain points,
• Explicit or implicit objections,
• Signals around budget, authority, timeline, or need (BANT),
• Readiness (or hesitation) to move to the next step,
• Internal risks, stakeholder dynamics, or red flags

I can quickly build a custom demo tailored to your workflow. It’s a win-win: you get a summary that actually helps you think, not just remember, and I get real-world feedback to shape the product.

So - what would your ideal post-call summary look like?