{"title":"Developer Tools","description":"\u003cp\u003eDeveloper-oriented digital downloads for builders who want practical software starting points rather than generic AI advice.\u003c\/p\u003e\u003cp\u003eStart here if you are technical, building a SaaS prototype, or looking for reusable foundations for AI-enabled software projects.\u003c\/p\u003e","products":[{"product_id":"agentic-python-boilerplate","title":"Agentic Python Boilerplate — AI Agent Starter Kit","description":"\u003ch2\u003eBuild AI agent prototypes faster with a structured Python starter kit.\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAgentic Python Boilerplate\u003c\/strong\u003e is a downloadable Python project template for developers, technical founders, and automation builders who want a practical foundation for building tool-using AI agents without starting from an empty folder.\u003c\/p\u003e\u003cp\u003eUse it as a starting point for internal assistants, research agents, workflow automation prototypes, AI SaaS MVPs, and production-style experiments.\u003c\/p\u003e\u003ch3\u003eWhat this helps you do\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eStart an AI-agent project with a cleaner folder structure\u003c\/li\u003e\n\u003cli\u003eAdd tools and capabilities using a repeatable registry pattern\u003c\/li\u003e\n\u003cli\u003eExperiment with memory, retrieval, and structured execution loops\u003c\/li\u003e\n\u003cli\u003ePrototype internal automation or AI SaaS ideas faster\u003c\/li\u003e\n\u003cli\u003eReduce time spent reorganizing files before the core workflow is validated\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eWhat you get\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eA modular Python project scaffold for agentic applications\u003c\/li\u003e\n\u003cli\u003eVector-style memory \/ RAG-oriented architecture\u003c\/li\u003e\n\u003cli\u003eTool registry pattern for adding new capabilities\u003c\/li\u003e\n\u003cli\u003eStructured execution loop for agent workflows\u003c\/li\u003e\n\u003cli\u003eLogging and error-handling patterns for more reliable development\u003c\/li\u003e\n\u003cli\u003eDocumentation to help you understand and extend the template\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eQuality and structure\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eDesigned as a starting scaffold rather than a loose collection of snippets\u003c\/li\u003e\n\u003cli\u003eOrganized around extension points so new tools and workflows can be added more cleanly\u003c\/li\u003e\n\u003cli\u003eWritten for experimentation, refactoring, and adaptation to real use cases\u003c\/li\u003e\n\u003cli\u003eUseful for learning how an agent-style Python project can be structured\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eBest for\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eSoftware engineers building AI agent prototypes\u003c\/li\u003e\n\u003cli\u003eTechnical founders validating AI automation ideas\u003c\/li\u003e\n\u003cli\u003ePython developers who want a practical scaffold\u003c\/li\u003e\n\u003cli\u003eTeams exploring tool-using agents, memory, and workflow automation\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eGood use cases\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eInternal AI assistants\u003c\/li\u003e\n\u003cli\u003eResearch automation tools\u003c\/li\u003e\n\u003cli\u003eCustomer support workflow prototypes\u003c\/li\u003e\n\u003cli\u003eData collection and analysis agents\u003c\/li\u003e\n\u003cli\u003eFounder MVPs for AI SaaS products\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eRequirements\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eBasic Python experience\u003c\/li\u003e\n\u003cli\u003eComfort editing code and installing dependencies\u003c\/li\u003e\n\u003cli\u003eAn API key for whichever LLM provider you choose to integrate\u003c\/li\u003e\n\u003cli\u003eWillingness to customize the scaffold for your model provider, data sources, and workflow\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eImportant notes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eThis is a downloadable code template, not a hosted SaaS product\u003c\/li\u003e\n\u003cli\u003ePaid LLM API credits are not included\u003c\/li\u003e\n\u003cli\u003eProduction deployment may require customization, testing, monitoring, and security review\u003c\/li\u003e\n\u003cli\u003eThe template should be reviewed before handling sensitive, private, or regulated data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eDownload the Python project bundle and start from a structured agent foundation.\u003c\/strong\u003e\u003c\/p\u003e","brand":"Digital Viking","offers":[{"title":"Default Title","offer_id":43858710134887,"sku":"DV-AGENTIC-PY-BOILERPLATE","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0573\/7588\/3367\/files\/bbbaa8801f295732e359bd33936acc39.png?v=1780957676"},{"product_id":"niche-trend-analyzer-script","title":"Niche Trend Analyzer — AI Market Research 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scores\u003c\/li\u003e\n\u003cli\u003eUseful for narrowing broad opportunity spaces into a smaller validation list\u003c\/li\u003e\n\u003cli\u003eBuilt to support repeated use across different categories, audiences, and product ideas\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eBest for\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eFounders validating new product ideas\u003c\/li\u003e\n\u003cli\u003eEcommerce sellers researching new categories\u003c\/li\u003e\n\u003cli\u003eCreators looking for content and audience opportunities\u003c\/li\u003e\n\u003cli\u003eOperators who want a repeatable research workflow\u003c\/li\u003e\n\u003cli\u003eConsultants preparing market-research notes for clients\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eGood use cases\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eChoosing a product niche\u003c\/li\u003e\n\u003cli\u003ePlanning a digital product or SaaS idea\u003c\/li\u003e\n\u003cli\u003eResearching newsletter or content 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