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b2f4ef1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | # Demo Script β 60-second Loom
Setup before recording: backend running on `:8000`, frontend on `:5173`, browser
on the **Overview** page, screen clean. Speak calmly; let the UI do the work.
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**0β10s β Problem**
> "Finance teams answer the same questions from invoices and contracts all day β
> what's the total, when's it due, what's the payment term. A normal chatbot will
> just make up a number. FinanceFlow only answers from the document, with
> citations β and refuses when it can't."
*(On screen: the Overview hero + the four trust badges.)*
**10β20s β Upload / demo document**
> "I'll load the sample documents in one click."
*(Click **Try Demo**. It seeds an invoice, a contract, and a payment note, and
jumps to the Ask workspace.)*
**20β35s β Ask a supported question**
> "It already answered 'What is the total amount due?' β and here's the answer."
*(The answer card shows the figure with a green "cited" badge. Point at it.)*
**35β45s β Show citations / evidence**
> "On the right is the exact source passage it used β document, chunk, and the
> highlighted line `Total Amount Due $2,413.98`. Every answer is verifiable."
*(Hover/expand an item in the Evidence panel.)*
**45β55s β Ask an unsupported question β abstention**
> "Now something the document doesn't contain β a social security number."
*(Click the "Correctly abstains" chip. The amber card shows: "Not enough
information in the uploaded document." with no citation.)*
> "It refuses instead of guessing. That's the whole point in finance."
**55β60s β Evaluation + closing line**
*(Click **Evaluation β Run**.)*
> "And I measure that: a golden-dataset eval β 100% citation coverage, zero
> unsupported answers. Source-backed AI you can actually trust."
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**One-line close (if you have a spare second):**
> "Built with FastAPI, React, and a custom retriever β runs fully offline."
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