2d (edited) • General Discussion 💬
Building an AI agency from SCRATCH : Day 4
Operator Logs — Day 4 (System Notes)
Ran real-ish test cases through the workflow today using:
Tally + Make + GPT
Here’s what improved the system the most:
1. Input Enforcement (Tally)Making certain fields required increased output quality immediately.
Less freedom = better AI performance.
2. Fallback Handling (Make)Added logic like:
- If context missing → insert default assumption
- If vague → trigger a more generic but structured response
This reduced failure cases a lot.
3. Prompt Adjustment (Minimal) Didn’t overhaul the prompt — just added:
“if information is incomplete, make reasonable assumptions and proceed”
Small change, noticeable difference.
System is now:More stableMore predictableStill not perfect
But usable.
Next step:
Test with actual conversations / real inbound scenarios.
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Building an AI agency from SCRATCH : Day 4
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