AI assistants hallucinate pricing data—here's how to verify
The cursor blinks in the chat window. You’ve asked your AI assistant which Beehiiv plan includes the automation builder, and it tells you confidently: $49 per month, unlimited sends. You open the pricing page. The real answer is $99, and there’s a 50,000-subscriber cap. The confidence never wavered.
AI assistants hallucinate pricing data—here’s how to verify
Large language models invent SaaS prices, plan limits, and feature availability with alarming consistency.
ChatGPT, Claude, and Gemini hallucinate pricing more often than any other category of business data. They’ll quote you a ConvertKit plan that stopped existing in 2023, tell you Memberful’s transaction fee is 3% when it’s 4.9%, or confidently place a feature in the $29 tier when it’s locked behind Enterprise. The problem isn’t that the models are careless—it’s that pricing changes faster than training data, and models fill gaps with plausible-sounding numbers rather than admitting uncertainty.
The cost is real. You build a budget around a $79/month tool only to discover the real price is $149. You promise a client a feature that doesn’t exist on their plan. You compare three platforms using invented data and choose the wrong one. The fix isn’t to stop using AI—it’s to verify every claim that touches money, limits, or features before you act on it.
The verification checklist is simple but non-negotiable: open the vendor’s live pricing page, check the plan comparison table for the exact feature name, and cross-reference user reviews or support documentation for limits the marketing page omits. If the AI gives you a number, assume it’s a guess until you see it on the vendor’s site. If it quotes a plan name, search the vendor’s knowledge base to confirm that plan still exists. If it tells you a feature is included, look for the feature in the vendor’s UI or ask their support team directly.
TACTIC
AI token counters lie—here’s how to bill clients accurately
If you’re reselling AI work or tracking usage for internal budgets, you’ve probably noticed that token counts don’t match between the dashboard, the API response, and third-party estimators. The mismatch isn’t rounding error—it’s architectural. Different tokenisers handle punctuation, whitespace, and Unicode differently, and some dashboards round usage to the nearest hundred tokens for display. When you’re billing clients or forecasting costs, a 20% variance isn’t academic—it’s the difference between profit and loss. The fix requires logging raw API responses and reconciling them weekly against your billing provider’s source of truth.
READER QUESTION
ConvertKit’s incentive email field automates lead-magnet delivery—but only sometimes
A reader asked whether ConvertKit’s Incentive Email feature sends immediately on signup or waits for the first broadcast. The answer depends on how you’ve configured your form’s automation rules and whether the subscriber double-opted in. ConvertKit’s Incentive Email feature is designed to deliver lead magnets automatically, but its timing rules and fallback behaviour aren’t documented in the UI—they’re buried in support articles and forum threads. If you’re seeing inconsistent delivery or subscribers complaining they never received the PDF, the issue is usually a conflict between your form settings, your sequence triggers, and ConvertKit’s spam-prevention logic.
FROM THE ARCHIVE
Workflow automation breaks when you automate the wrong tasks
Most solo operators waste Zapier tasks and Make operations automating decisions instead of repetition. You automate the wrong things—conditional logic, creative judgement calls, edge-case routing—and leave the high-volume, zero-thought tasks manual. The result is automations that fail silently because they can’t handle the nuance you assumed they could, and a to-do list still full of copy-paste work that should have been automated first. The fix starts with a simple rule: automate any task you’ve done identically ten times, and leave everything else manual until the pattern stabilises. Decisions come later, once the repetitive scaffolding is off your plate.
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