Frequently Asked Questions

No. If you can upload a file and write a short instruction, you can create a course chatbot in minutes.

No. You stay in control of the chatbot’s persona, rules, files, model settings, and behavior. StadiTA does not silently rewrite those choices behind the scenes.

StadiTA helps educators, tutors, course creators, training teams, and schools build chatbots grounded in their own materials. It is designed for course support, study help, onboarding, and classroom logistics where you want students or learners to get consistent answers from content you control instead of a generic assistant.

Sign in, create a chatbot, then add a name, description, persona, welcome message, and model settings. Upload knowledge files if the bot should answer from course materials. Use preview to test real questions and adjust the instructions or files. When the setup looks ready and publish requirements are met, publish the chatbot and share its public link. Related guide: Create your first chatbot

Custom GPTs and Gemini Gems are useful general-purpose personal assistants. StadiTA is more focused on education publishing workflows: educator-controlled course materials, preview-before-publish, public student access for active bots, knowledge-pack uploads, AI Credit budgeting, analytics, and exports. It is built for sharing a course-grounded assistant with learners, not just saving a personal prompt. Related guide: Compare AI model providers

StadiTA uses pay-as-you-go AI Credits. There are no per-student fees, and students never pay. $1 = 1,000 AI Credits. Credit usage depends on the selected model, reasoning effort, and how much course content the answer uses.

AI Credits are the usage balance for StadiTA chatbots, especially conversations with published public bots. Credit usage varies with the selected model, reasoning setting, answer length, and how much uploaded knowledge is used. You do not need to think in raw token prices; use credits as the practical budget control for testing, publishing, and ongoing student conversations.

Model and reasoning choices change how the chatbot balances speed, answer quality, and AI Credit usage. Lower-cost or lower-reasoning settings are usually best for routine Q&A, logistics, and simple explanations. Stronger models or higher reasoning can help with harder prompts, multi-step reasoning, and nuanced feedback, but they may use more credits per conversation.

You can upload PDFs, images (JPG/JPEG, PNG, WEBP, SVG), HTML/XML, DOCX, Excel files (XLSX, XLS, XLSM, XLSB, ET), ODT/ODS, CSV, Numbers, TXT, and Markdown (MD).

By default, a knowledge pack can include up to 10 uploaded files, with each file up to 10 MB. Some environments may use different limits. These defaults help keep ingestion, previews, and student answers responsive. If your material is larger, split it into smaller focused files, remove outdated content, or upload only the sections the chatbot should rely on for student questions.

Uploads can fail if the format is unsupported, the file is larger than the current limit, the knowledge pack already has too many files, or storage quota is unavailable. A file may also stay processing while StadiTA extracts text and prepares it for retrieval. If it fails, remove the file, check the format and size, and upload a cleaner copy.

Yes. You can preview and test the student experience before publishing, then adjust the tone, instructions, files, and settings before students use it.

Yes. You can revise course materials, instructions, and settings whenever your class changes, then publish the updated chatbot when you are ready.

Publishing can be blocked when the chatbot is not ready for public use. Common reasons include not enough AI Credits, an invalid or unsupported model selection, or setup issues that need attention before students can access it. Open the chatbot, review any blocker message, fix the required setting or balance issue, preview again if needed, and then publish. Related guide: Publish and share a chatbot

Today StadiTA focuses on simple, reliable sharing and data movement: account sign-in, file-based knowledge ingestion, authenticated preview mode, public chat links for published bots, QR-code sharing, and exportable message data. You can place the public link in an LMS, email, or course page, but StadiTA does not claim broad native LMS, CRM, or helpdesk integrations yet.

Yes. Students can open a published chat link without creating a StadiTA account. Educators control what they upload, what they publish, and when access should be disabled. Privacy details: Privacy Policy

Contact the StadiTA support team through the contact page for setup, troubleshooting, or product questions. Need more help? Contact support

StadiTA includes analytics for understanding how your chatbot is being used, including sessions, unique visitors, recent activity, conversation depth, response timing, message patterns, token counts where available, and AI Credit usage. You can also start message exports in supported formats such as CSV or NDJSON when you need to review conversations outside the dashboard.