• Previously India’s first GDE for Kotlin • More than 14 years in the Industry • Founder @ Mobrio Studio • Worked With ◦ JioCinema/JioHotstar, Byju’s, Paytm, Gojek, Meesho, Touchlab • Author (wrote multiple Kotlin books) • Speaker • Mentor • Learning / Exploring ML/AI • Community Person (Started KotlinKolkata) • YouTuber (http://youtube.com/@RivuTalks)
experience of scaling 6+ unicorn startups, and many smaller ones • We do Mobile Dev tooling (products) as well as we consult with product based startups, helping them develop or scale their apps • We can help with anything to do with mobile, starting from code quality, migration, refactor to feature development • At Mobrio Studio, I have a team, who work under my direct super vision. • We don’t just develop for you, we train your team, so you’re independent in future https://mobrio.studio/ [email protected]
- hps://github.com/PatilShrey as/generative-ai-kmp API key stored in BuildKonfig Suspend function for content generation Works on Android & iOS GEMINI INTEGRATION (ONLINE)
val result = withContext(Dispatchers.IO) { llmInference.generateResponse(prompt) } return result ?: throw IllegalStateException("Model didn't generate") }
generate • A token can be a whole word, part of a word (like "ing" or "est"), punctuation, or even a space. The exact way text is tokenized depends on the specific model’s tokenizer. • Whenever we call llmInference.generateResponse(prompt), the response generated by the local model will contain at most 512 tokens.
generate • A token can be a whole word, part of a word (like "ing" or "est"), punctuation, or even a space. The exact way text is tokenized depends on the specific model’s tokenizer. • Whenever we call llmInference.generateResponse(prompt), the response generated by the local model will contain at most 512 tokens.
run AI agents entirely in idiomatic Kotlin. It lets you create agents that can interact with tools, handle complex workflows, and communicate with users. https://docs.koog.ai/
• Tools are the "Hands" and "Eyes" • Example: The "Search" Tool • The AI is the "Smart Foreman" • Why It Maers: Without tools, an AI is just a fancy encyclopedia. With tools, an AI becomes a real personal assistant that can find current information and actually get things done for you in the real world.
or access external systems. expect class DatabaseOperationsToolSet( repository: YourRepository ) { suspend fun someDBOperation(): Result /** * Convert to Koog tools */ fun toTools(): List<Tool<*, *>> }
class DatabaseOperationsToolSet( repository: YourRepository ) : ToolSet { { @Tool @LLMDescription("Meaningfull description of the function/operation") suspend fun someDBOperation(): Result {...} fun toTools(): List<Tool<*, *>> {...} }
default, a simple AI is like a goldfish. • Memory is the "Notepad" • It Remembers "You" , it Remembers "What It Did" • Short-Term vs. Long-Term • Why It Maers: Without memory, an AI is just a tool. With memory, it becomes a personal assistant that gets smarter and more helpful the more you interact with it.
of information being saved. It’s the "note" itself. Koog has two types. ◦ SingleFact: For one piece of info (e.g., "User’s preferred theme is Dark"). ◦ MultipleFacts: For a list of info (e.g., "User knows Kotlin, Java, and Python"). • Concepts: This is the label or category for the fact. It’s like the heading on a page in the notepad. • Subjects: This is who or what the fact is about. It’s like the label on the "file drawer."
maintaining context in AI agent private val searchResultConcept = Concept( keyword = "search-results", description = """ Search result patterns and success metrics: - Query success rates and patterns - File discovery patterns - Search term effectiveness - Result relevance scoring Used for optimizing search algorithms and result ranking. """.trimIndent(), factType = FactType.MULTIPLE )
maintaining context in AI agent private val searchResultConcept = Concept( keyword = "search-results", description = """ Search result patterns and success metrics: - Query success rates and patterns - File discovery patterns - Search term effectiveness - Result relevance scoring Used for optimizing search algorithms and result ranking. """.trimIndent(), factType = FactType.MULTIPLE )
or "Plan": If the AI is the "foreman" (brain), the tools are the "hands," and the memory is the "notepad," the strategy is the detailed, step-by-step "workflow" or "recipe" the foreman follows to get a job done.
don’t just write a simple list. You build a "Strategy Graph"—think of it as a flowchart for the AI’s "recipe." This lets you create very smart and complex plans. • Nodes (The Steps): The "Nodes" are the boxes in the flowchart. Each node is one action in the recipe. • Edges (The Arrows): The "Edges" are the arrows that connect the boxes. They show the agent which step to do next. • Subgraphs are "Recipe" Inside a "Recipe"
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