Implemented All Course Run in FMS#2
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May 6, 2026
… phase 2
Three fixes addressing user-reported issues in deck g3:
1. Strip [Sub-topic] markers from fallback bullets:
The orchestrator collapse step inserts inline [Sub-topic name]
markers in the bullet stream so Phase 2 AI knows where sub-topic
boundaries are. The fallback was treating those markers as real
bullets, producing slides titled "[What are Chatbots?]" with cards
showing the bracket text. Now filtered before the fallback loop.
2. Action-verb labels in Block 0 overview + Key Takeaways:
Previously block-0 cards showed "Definition and overview" as label
and "Definition and overview of chatbots" as desc — visually
redundant. Now cards rotate action-verb labels (Define / Apply /
Identify / Analyse / Implement / Compare / Evaluate / Master /
Practice / Review) with matching distinct icons (target/cog/
lightbulb/chart-line/rocket-launch/scale-balance/check-circle/
star/handshake/file-search) and the full bullet as desc. Same
pattern in Key Takeaways with Remember/Practise/Apply/Reflect/
Master verbs. Visually mirrors the Streamlit reference deck where
block 0 shows "Define Goals" / "Identify Uses" / "Select Platform"
with distinct icons.
3. Aggressive 4-attempt retry for Phase 2 (was 2):
User requirement: "no fallback at all". Each attempt simplifies
the request more aggressively to maximise AI success in production:
#1: Full prompt + research enrichment + WebSearch (if sources<2)
#2: Same prompt minus research details (smaller payload)
#3: Tiny prompt — topic + bullets only, no research, no tools
#4: Tiny prompt + Sonnet 4.6 (different model in case Haiku 4.5
has a transient issue with this token/account)
Only after ALL 4 fail does fallback run. Each attempt logs its
model + prompt size + tools so production logs can show which
tier succeeded (or all failed).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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