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PARTLY Real Google demo, oversold result: the Dec 2025 video builds a 3-field PDF-to-JSON extractor in Vertex AI Studio, not a finance team's working analyst
The claimPhoto carousel: "Google used Vertex AI Studio and Gemini to show how a working financial analysis assistant can be put together in minutes. The tool can take long earnings reports, pull out structured information, and let users ask questions about the documents directly… For finance teams, that means reports can be turned into searchable, interactive tools much faster than building a custom system from scratch." Slide 1: "The tutorial shows how to use Vertex AI Studio and Gemini to analyze financial reports and build a working AI assistant." Sep 4, 2026.
The source is real: Google Cloud Tech published "How to build a financial analyst assistant with Vertex AI Studio & Gemini in under 10 minutes" on YouTube (video e8hehBcYU7E) on Dec 6, 2025, presented by Colby Hawker and Shubham Saboo, so "minutes" is Google's own framing. It rides the Nov 21, 2025 Google Cloud blog post "Building with Gemini in the newest Vertex AI Studio," which introduced the /prompt, /evaluate and /build agents, Get Code, and login-free Express mode on Gemini 3. What the video actually shows: upload one sample earnings PDF, ask for revenue, COGS and operating expenses, use /prompt to force clean JSON, /evaluate with a rubric that checks 'valid JSON', then /build and Get Code to drop the prompt into an app so a chart library can render it. That is a prompt-and-extraction demo, not a deployed document Q&A system for a finance team. The caption's claims about Studio (prompting, testing, building in one place) match Google's docs. What's missing: the demo runs in Express mode, which Google's docs cap at 90 days without billing, with limited quotas and data sources (Google Drive and web files only); production needs a billed GCP project, IAM, and connectors. Costs (CloudZero, updated Sep 4, 2026): Gemini 3 Flash $0.50/$3.00 per 1M tokens, Gemini 3.1 Pro $2/$12, Search grounding $14 per 1,000 queries after 5,000 free. The FinGround paper (arXiv, Apr 26, 2026) documents that LLMs on filings 'fabricate metrics, invent citations, and miscalculate derived quantities,' with 43% of errors needing arithmetic re-checks. The TikTok caption is a nine-month-old, unlinked paraphrase; a near-identical text ran on Threads Jan 21, 2026.
What holds up
- Google Cloud Tech video exists (YouTube e8hehBcYU7E, published Dec 6, 2025) and its title says 'under 10 minutes'; the time claim is Google's own
- Vertex AI Studio really does put /prompt, /evaluate, /build, Get Code and prompt sharing in one console, per Google's Nov 21, 2025 blog and current docs
- Gemini can read long PDFs natively; Google docs list up to 1,000 pages / 50 MB per document
- Express mode lets you start with no credit card or GCP account, as the caption implies
What doesn’t
- The 'working financial analysis assistant' in the demo extracts three line items (revenue, COGS, opex) from one sample PDF into JSON; no multi-document search, no citations, no live data
- Express mode is preview and expires after 90 days without billing; quotas and data sources are limited, so it is a sandbox, not a finance-team tool
- Production means a billed GCP project, IAM, storage/connectors, evaluation and monitoring, none of which the video builds; Cloud Run deploy was 'coming soon' at the Nov 2025 launch
- Hallucination risk on filings is documented (FinGround, arXiv Apr 26, 2026): fabricated metrics, invented citations, miscalculated derived numbers
- The post is a nine-month-old, unlinked paraphrase; the same wording circulated on Threads on Jan 21, 2026
The catch
The video is real and fast, but 'minutes' buys you a prompt that pulls three numbers from one PDF in a 90-day sandbox. Anything a finance team would sign off on (grounding, citations, connectors, auth, evals, cost control) is the part nobody built in the video.
How to actually do it
- Watch the actual 10-minute Google video before believing any summary of it; note it extracts three fields, it does not answer questions across a library of reports
- If you want to try it, use Express mode on a non-sensitive sample PDF and set a calendar reminder for the 90-day cutoff; do not upload real financials to a preview sandbox
- For any real use, require the tool to cite the page it pulled each number from and have a human re-check every figure and every calculated ratio
- Budget before you build: a Gemini 3 Flash pipeline is cheap per document, but connectors, auth, evaluation and a developer's time are the real cost; get a scoped quote
A ten-minute Google demo proves Vertex AI Studio is quick to prototype in; it does not prove a finance team can replace a custom system without the usual engineering.
- Confidence
- High
- Posted by
- @ai.ontiktok
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