Yes. The system prompt can ingest target med-school tiers from a WordPress page (top-20 MD, top-50 MD, regional MD, DO) and recommend a section emphasis and target score range accordingly. A top-20-bound applicant gets a 515+ framing; a DO-bound applicant gets a 500+ framing. Update the tier page and the bot reflects the framing on the next conversation, no retraining required.

If your WordPress pages reference AAMC Section Banks, FLs, and Question Packs separately from third-party Kaplan or Princeton Review materials, the bot reads and respects the distinction. The system prompt should note that AAMC FLs are the gold standard and most predictive, while third-party FLs are useful for early-stage volume. Most services structure prep so AAMC FLs are reserved for the final 8 weeks.

It can describe your content-review framework (Anki decks, gap-fill sheets, targeted review keyed to AAMC Section Banks) and explain why it's weighted toward practice over lectures. The bot itself doesn't deliver content review; that's the tutor's job. Most services use the bot to capture which content areas a student struggles with and queue the targeted Anki deck or gap-fill sheet automatically.

If your hour-bundle pricing is on the pricing page, yes. The bot surfaces trial-session discounts in context and explains when the 40-hour package is cheaper than singles plus separate FL review fees. It won't invent discounts; if you want a specific code honoured, add the rule to the prompt. Otherwise it quotes only what's published.

Yes. The 28+ display conditions let you run an MCAT bot on /mcat/ pages and an admissions consulting bot on the consulting pages, each with their own tone and tutor roster. Conversation logs stay separate so you can review MCAT enquiries without scrolling past consulting threads. Most prep services run two to three bots: MCAT, admissions, and a third for combined pre-med advising.

Logs stay in your WordPress database. Bring-your-own-key sends prompts directly to OpenAI, Anthropic, or Google with no third-party processor in between. That matters because pre-meds share sensitive details: undergraduate GPA, prior MCAT scores, target schools, gap-year activities. You control retention and redaction, and the plugin doesn't add a new vendor between you and the model.

The system prompt should forbid promising specific point gains (no 'we guarantee +13'). The bot describes typical practices: 150-250 hours for a 13-point climb, 8-10 AAMC FLs, daily CARS practice. It quotes realistic floors and ceilings for the time remaining and routes to a consult call for any guarantee terms or atypical starting-point cases. Many services explicitly avoid score guarantees for fairness.

The bot handles retakes and voids explicitly. It collects the prior attempt's score (or void status), gap analysis by section, and any score-recipient lists already sent. For applicants targeting top-20 MD with a 506 on file, the bot routes to senior C/P or CARS tutors and a 16-week plan rather than a generic 'study more' recommendation. Void cases get a longer reset plan since starting confidence is usually lower.