What the AI Knows and Doesn't Know
The AI's knowledge cutoff, what it can and cannot access, why it sometimes gives wrong answers, and how to work with these limitations productively.
Two Types of Knowledge
AskBiz AI has two distinct types of knowledge that work together:
Your business data — retrieved live from your connected sources. This is always current (up to the last sync). The AI knows your revenue, margins, customers, and products because it retrieves this data fresh for each query.
General world knowledge — baked into Claude's model weights during training. This covers business concepts, market knowledge, regulatory frameworks, trade rules, and general intelligence. This knowledge has a training cutoff — Claude does not know about events that occurred after its training data was collected.
The Training Cutoff
Claude's general knowledge has a training cutoff of approximately early 2025. This means:
- Claude may not know about trade agreements, regulatory changes, or market events that occurred after early 2025
- For rapidly changing areas (tax rates, customs duty rates, trade tariffs), always verify with current official sources
- For stable areas (fundamental business concepts, accounting principles, general market dynamics), the training cutoff is unlikely to matter
When AskBiz knows a question requires current external information, it will flag this with a note like 'This answer is based on information current as of early 2025 — verify with current official sources for regulatory matters.'
What the AI Cannot Access
The AI cannot access:
- Real-time news or live market data (it uses your synced business data, not live market feeds)
- Competitor-specific data (only what you have connected)
- Data from platforms you haven't connected
- Your previous conversations from other sessions (each session starts fresh)
- The internet — it cannot browse websites or search for current information
- Other AskBiz users' data (complete isolation between accounts)
When the AI Is Most Reliable
The AI is most reliable when:
- Answering questions grounded in your connected, recent data
- Explaining business concepts, frameworks, and methodologies
- Running calculations with clearly defined inputs
- Identifying patterns in time series data
- Generating structured frameworks for decisions
The AI is least reliable when:
- Asked about very recent external events or regulatory changes
- Working with incomplete or very old data
- Making precise numerical predictions about future performance
- Answering highly jurisdiction-specific legal or tax questions
For the latter category, always supplement AI insights with qualified professional advice.