Disapointed but H.
The AI assistant still lacks basic functionality and features that are available in other popular AIs
1. Inability to Access In-Platform Portfolio Data: The AI assistant's primary job should be interacting with my portfolio stored inside Portfolio Pilot, yet it cannot even read my data. It continuously asks for a "portfolio ID" without explaining where to find it. When viewing my Net Worth Portfolio, no ID exists, creating a frustrating loop where the AI insists it needs information that the interface does not provide. 2. Lack of File Uploads & External Integration: Mainstream AI tools allow users to upload spreadsheets, screenshots, and documents. On Portfolio Pilot, I cannot upload a screenshot or document to bypass internal data limitations (e.g., sharing fund allocations that your own AI fails to pull from your system). Furthermore, the AI cannot cross-reference external benchmarks, Morningstar ratings, Zacks ratings, or institutional macro research (such as BCA or NDR). 3. Lack of Voice/Dictation Input Support: Unlike platforms where I can dictate prompts directly, Portfolio Pilot requires typing out lengthy questions manually, making interaction tedious and inefficient. 4. Subscriber Data Retention & Downgrade Friction: When canceling or downgrading a Platinum subscription to a free tier, users are forced to export their portfolio to a spreadsheet. If a user wants to resubscribe next year to rebalance, Portfolio Pilot does not retain their portfolio configuration—requiring them to manually rebuild their entire portfolio from scratch. 5. Product Value & Marketing Alignment: Given past legal and regulatory scrutiny surrounding financial platform advertising disclosures, offering a stripped-down AI product feels like tacking on AI strictly as a marketing bullet point rather than delivering genuine utility to paying subscribers. Subscribers paying for a premium tier expect an AI capable of evaluating fund allocations against rating systems (e.g., Morningstar Gold or Zacks Best Buy) and macro frameworks. I hope your product team addresses these functional flaws and data integration gaps in future updates.




