The separation of said, did, and inferred is the strongest safeguard here. I would add a blind first pass where the model summarizes each transcript before it sees the founder's hypotheses, then compare that with the hypothesis-aware pass. If a theme appears only after the model knows what the founder hopes to prove, that is a useful warning that the synthesis may be mirroring the prompt rather than the customer.
And btw- I help the solo founders get to next level through accounting and tax matters, while also acting as a sounding board, how the decisions in business target change the business direction and impact to reporting and tax matters
The separation of said, did, and inferred is the strongest safeguard here. I would add a blind first pass where the model summarizes each transcript before it sees the founder's hypotheses, then compare that with the hypothesis-aware pass. If a theme appears only after the model knows what the founder hopes to prove, that is a useful warning that the synthesis may be mirroring the prompt rather than the customer.
Ah very smart! I love it. Will add this to the updates.
And btw- I help the solo founders get to next level through accounting and tax matters, while also acting as a sounding board, how the decisions in business target change the business direction and impact to reporting and tax matters
Oh that is so nice! Nice to meet you. Maybe we could schedule a webinar on that topic for my audience.
Would Love that
Perfect! Let me DM you!
Copy copy copy. So many try to build for something they think is needed, when the answer is right there , just ask the target market!
Yes so many of them!