Divyanshi Sharma's Linkedin Analytics

BREAKING: Google, OpenAl, and Anthropic just released Al agent guides for free. While some are still spending over $1,000 on Al courses, the top players are giving away high-level resources at no cost. And if you’re working on a - GTM - Hiring - Scaling operations… There’s one thing you can’t afford to ignore: AI Agents. From prompt engineering to agent frameworks, it's all here: 1)OpenAl's Al in the Enterprise → Adoption steps – checklist to roll out AI safely → Strategic roadmap – year-by-year growth plan → Use-case design – pick high-value problems first 🔗 https://lnkd.in/gMRrF6xm 2)OpenAl practical guide to building agents → Agent architecture – planner / executor / memory diagram → Use cases – list of jobs agents can handle → Best practices – do’s and don’ts for stable agents 🔗 https://lnkd.in/gxd-Tyq7 3)Google's Prompting guide 101 → Gemini tips – simple tricks for sharper answers → Role-based prompts – tell Gemini who it is to shape replies → Workspace strategies – use prompts inside Docs, Gmail, Sheets 🔗 https://lnkd.in/g5x8iSmV 4)OpenAl's Identifying and scaling Al use cases → Use-case filter – score ideas by value and effort → Risk mapping – chart legal, bias, privacy issues → Enterprise readiness – data, skills, infra checklist 🔗 https://lnkd.in/grK7FFPV 5)Anthropic's building effective agents → Claude agents – sample code to set up Claude tasks → Prompt flow – chain prompts and pass context cleanly → Iteration logic – loop patterns to refine replies 🔗 https://lnkd.in/g89Cv8w7 6)Anthropic's Prompt engineering overview → When to prompt-engineer – know if a prompt tweak beats model tuning → Prompting vs. fine-tuning – trade-offs in speed, cost, control → Practical tips – role prompts, CoT, long-context hints, XML tags 🔗 https://lnkd.in/gFM-HEGk 7)Google's Agents Companion whitepaper → AI agent flow – step-by-step from intent to action → Evaluation metrics – measure speed, quality, cost → Real examples – two agents broken down end-to-end 🔗 https://lnkd.in/gP45U6UJ 8)Google Prompt engineering → Prompt stages – zero-shot, one-shot, few-shot with clear templates → Advanced patterns – chain-of-thought, ReAct, multi-step RAG → Code prompting – how to ask for structured JSON or function calls 🔗 https://lnkd.in/gwQpsU-U