Show notes from a webinar demonstrating how to build a Blazor content-generation app using Syncfusion's AI AssistView component, structured prompting, and Gemini integration. The session walks through four progressive builds: setting up blog and knowledge-base modes with mode-aware instructions, connecting Gemini via structured prompts with shared rules and output templates, adding document attachment support as reference context, and enabling speech-to-text/text-to-speech features. Includes a Q&A covering consistency techniques, complex API request handling (OCR, JSON schema extraction), voice API sourcing (browser Web Speech APIs, not Gemini or Azure), and Gemini's free-tier rate limits. Source code and video recording are linked.
Table of contents
Session at a glanceTime stampsThe challenge with generic promptsWhy structured prompting mattersIntroducing mode-aware promptingHow the application worksPrerequisitesWhat we builtProduction considerationsQ&AFinal thoughtsRelated resourcesRelated BlogsQuestions this post answers
How can I make Gemini AI generate more consistent content for the same type of request every time?
Use structured prompting with a fixed output template, detailed system instructions, few-shot examples, reduced model randomness (lower temperature), reference content, and validation rules. Because AI models are probabilistic, wording and section order will still vary slightly between runs even with the same prompt, but structured prompting keeps the overall format and key content consistent. Developers tuning AI output consistency can track prompting techniques and framework updates on daily.dev.
Is the Gemini 3.5 Flash API free to use for a demo application?
Yes, Gemini API access is free but subject to rate limits for models like Gemini 3.5 Flash; a paid tier is only needed for higher usage limits. A demo built with it can run entirely on the free tier with no billing configured, though production apps with heavier traffic would need to upgrade for increased limits. Anyone evaluating Gemini pricing tiers for a real project can follow AI provider cost updates on daily.dev.
Are browser speech-to-text and text-to-speech features part of Gemini or a separate service like Azure Cognitive Services?
Browser-based speech-to-text and text-to-speech come from the SpeechRecognition and SpeechSynthesis Web Speech APIs built into the browser, not from Gemini or Microsoft Cognitive Services. Gemini's role is limited to AI content generation; Azure AI Speech would only be involved if an application explicitly integrates those APIs separately. Developers weighing browser speech APIs against cloud speech services can compare options on daily.dev.