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It provides tool categories at a glance, a decision framework with do/don'ts and pitfalls, and checklists for drafting, research, strategy, document analysis, coding, data work, and automation. It also introduces agentic workflows, including chaining tools, human-in-the-loop reviews, logging/monitoring, and iterative experiments, plus guidance for implementation via a 2-week pilot and clear next steps.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/ai-model-selection-cheat-sheet-practical-ai-tool-choice-agentic-workflow-guide/573257/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/ai-model-selection-cheat-sheet-practical-ai-tool-choice-agentic-workflow-guide/573257.png","ImageObject",442,249,{"name":88,"@type":89},"Terk","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-19","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":76},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"How should teams choose between chat models, code assistants, and retrieval/analytics tools?","Question",{"text":108,"@type":109},"Use chat models for drafting, Q&A, and creative writing, while using code assistants for autocomplete, templates, and debugging. For facts and knowledge queries, prefer retrieval and analytics tools and verify claims with sources.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What are the key steps to build an agentic workflow from tools to outcomes?",{"text":113,"@type":109},"Define the business outcome and success metric, map the data flow across tools, select a primary AI agent, add supporting tools for search and analysis, and insert human-in-the-loop at critical decision points. Finish with logging/monitoring and iteration via small experiments.",{"name":115,"@type":106,"acceptedAnswer":116},"What does a 2-week AI pilot and setup typically include?",{"text":117,"@type":109},"Week 1 covers selecting a single use case, picking the primary tool, defining success metrics, gathering data access, establishing governance, and configuring security controls. Week 2 runs an end-to-end test, collects results and feedback, iterates prompts, tunes workflows, and addresses bottlenecks before deciding whether to scale.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},573257,1792316586,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":76,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":79},1099525198933,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","CATEGORIES  \nTool Categories at a Glance  \nFounders, executives, managers, business leaders  \nA practical taxonomy of AI tools used in business, focused on decision clarity.  \nKey move Map your data flow before tool choice.  \nPRACTICAL CHECKLIST  \n01 Chat models (ChatGPT, Claude, Gemini): natural language drafting, Q&A, and creative writing.  \n02 Code assistants (Copilot, code LLMs): autocomplete, templates, and debugging.  \n03 Retrieval and analytics (Perplexity, similar tools): facts, briefs, and knowledge queries.  \n04 Image and multimodal tools: generate visuals; create prompts for marketing and design.  \n\n| 05 | Automation and workflow tools: connect apps and automate repetitive tasks. |\n| --- | --- |\n\n\n| 06 | Local models and private hosting: on-premises AI for sensitive data. |\n| --- | --- |\n\n\n| 07 | Data tools and dashboards: AI-assisted insights from tables and BI. |\n| --- | --- |\n\nSuhas Bhairav AI Resource  \nDecide the right AI tool for each task, confidently and quickly.  \nDECISION FRAMEWORK Founders, executives, managers, business leaders  \nDecision Table: When to Use What  \nA simple guide to choosing tools, with do/don'ts and pitfalls.  \nKey move Fill this table for your mission-critical tasks.  \nPRACTICAL CHECKLIST  \n01 Drafting/editing: Use chat models for drafts; verify facts; don't rely on style alone.  \n02 Research: Use browsing-enabled tools; fact-check with sources; avoid unsourced claims.  \n\n| 03 | Strategy: Use scenario analysis; compare options; avoid opaque assumptions. |\n| --- | --- |\n\n04 Document analysis: Extract key points; summarize; verify extraction accuracy.  \n05 Coding: Use copilots for scaffolding and templates; review results.  \n\n| 06 | Data analysis: Connect data sources; run basic models; beware biased outputs. |\n| --- | --- |\n\n\n| 07 | Automation: Use for repetitive tasks; validate end-to-end; monitor failures. |\n| --- | --- |\n\nSuhas Bhairav AI Resource  \nDecide the right AI tool for each task, confidently and quickly.  \nAGENTIC WORKFLOWS Founders, executives, managers, business leaders  \nFrom Tool to Action: Building Agentic Workflows  \nLearn how to chain tools into repeatable workflows that deliver outcomes.  \nKey move Prototype with a single end-to-end task.  \nPRACTICAL CHECKLIST  \n| 01 | Define the business outcome and success metric for the workflow. |\n| --- | --- |\n\n\n| 02 | Map data flow: inputs, transformations, and outputs across tools. |\n| --- | --- |\n\n03 Choose a primary AI agent as the decision-maker for the task.  \n04 Add supporting tools for search, analysis, and automation as needed.  \n\n| 05 | Incorporate human-in-the-loop at critical decision points and reviews. |\n| --- | --- |\n\n06 Implement logging and monitoring to track performance and reliability.  \n07 Iterate with small experiments to learn quickly and improve.  \nSuhas Bhairav AI Resource  \nDecide the right AI tool for each task, confidently and quickly.  \nPRACTICAL SCENARIOS I Founders, executives, managers, business leaders  \n9 Real-World Scenarios and Steps  \nGuidance for executing tasks with AI across common business domains.  \nKey move Test each scenario on real data before committing.  \nPRACTICAL CHECKLIST  \n01 Writing/editing: draft memos, reports, and emails; refine tone and clarity.  \n\n| 02 | Research: collect market data, summarize sources, and create briefs. |\n| --- | --- |\n\n\n| 03 | Strategy: run scenario analyses, stress tests, and option comparisons. |\n| --- | --- |\n\n\n| 04 | Document analysis: extract actions, risks, and decisions from reports. |\n| --- | --- |\n\n05 Coding: generate templates, scaffolds, and refactor guidance.  \n\n| 06 | Data analysis: pull KPIs, run quick analyses, and visualize results. |\n| --- | --- |\n\n\n| 07 | Customer support: craft responses; route complex queries to humans. |\n| --- | --- |\n\nSuhas Bhairav AI Resource  \nDecide the right AI tool for each task, confidently and quickly.  \nPRACTICAL SCENARIOS II Founders, executives, managers, business leaders  \nInternal Knowledge Search and Au","cbCaitBGr8k9wHCq","https://ap.wps.com/l/cbCaitBGr8k9wHCq","pdf",146949,10,"English","# Tool Categories at a Glance\n## Chat models, code assistants, retrieval & analytics, and image tools\n# Decision Framework\n## Practical checklist for drafting, research, strategy, analysis, and coding\n# Agentic Workflows\n## From tool to action with human-in-the-loop and monitoring\n# Practical Scenarios I\n## Writing/editing, research, strategy, document analysis, coding, data analysis, and support\n# Practical Scenarios II\n## Internal knowledge search, automation, knowledge sharing, governance, and security\n# Implementation\n## 2-week pilot and setup\n# Next Steps\n## Closing: practical path forward","[{\"question\":\"How should teams choose between chat models, code assistants, and retrieval/analytics tools?\",\"answer\":\"Use chat models for drafting, Q\\u0026A, and creative writing, while using code assistants for autocomplete, templates, and debugging. For facts and knowledge queries, prefer retrieval and analytics tools and verify claims with sources.\"},{\"question\":\"What are the key steps to build an agentic workflow from tools to outcomes?\",\"answer\":\"Define the business outcome and success metric, map the data flow across tools, select a primary AI agent, add supporting tools for search and analysis, and insert human-in-the-loop at critical decision points. Finish with logging/monitoring and iteration via small experiments.\"},{\"question\":\"What does a 2-week AI pilot and setup typically include?\",\"answer\":\"Week 1 covers selecting a single use case, picking the primary tool, defining success metrics, gathering data access, establishing governance, and configuring security controls. Week 2 runs an end-to-end test, collects results and feedback, iterates prompts, tunes workflows, and addresses bottlenecks before deciding whether to scale.\"}]","AI Model Selection Cheat Sheet - Practical AI Tool Choice & Agentic Workflow Guide | PDF",1791935814]