Navigating the Latest AI Resources: Your Guide to Practical Implementation
TL;DR
Google, OpenAI, and Anthropic have each launched comprehensive, expert-level AI guides—available now at no cost. See below for more info.
Hope everyone had a great CMA Fest weekend and is settling back into the work week. While Nashville was buzzing with exceptional music and energy this week, the AI industry is always* exceptionally active with some significant developments that deserve your attention.
This year has brought a wave of practical AI guidance from the industry's leading companies. Google, OpenAI, and Anthropic released comprehensive resources designed to help businesses and professionals navigate AI implementation more effectively. These aren't just theoretical white papers – they're actionable guides for real-world application.
For those looking to enhance their workflows without compromising content quality, these nine resources offer valuable insights into AI-assisted ideation and process optimization. While we maintain our commitment to original, human-created content, understanding how AI can support brainstorming and workflow efficiency has become essential for staying competitive.
Before we dive into these resources, a quick reminder: our inaugural newsletter launches Monday, July 7th, featuring deeper dives into industry developments, behind-the-scenes insights, and practical tips you won't find elsewhere. If you haven't subscribed yet, now's the perfect time to join our community of innovative professionals.
Now, let's explore these nine practical AI resources that can help streamline your creative and business processes without replacing the human expertise that drives meaningful results.
OpenAI’s AI in the Enterprise
Seven adoption steps
Strategic roadmap
Helpful implementation advice
https://cdn.openai.com/business-guides-and-resources/ai-in-the-enterprise.pdf
2. OpenAI practical guide to building agents
Agent structure - how and why to create
Use cases – when to deploy
Best practices – do’s and don’ts for longevity
https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
3. Google’s Prompting guide 101
Gemini tips & tricks – how to retrieve poignant answers
Prompting best practices – mold Gemini into an SME
Workplace strategies – integrate with Google Suite
https://services.google.com/fh/files/misc/gemini-for-google-workspace-prompting-guide-101.pdf
4. OpenAI’s Identifying and scaling AI use cases
Six primitive uses
Mini-Case Studies
Implementing for Enterprises
https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf
5. Anthropic’s building effective agents
Claude agents – what they are and how they can support your business
Information flow – how to chain information together seamlessly
Iteration – code in A/B tests among other loops and branches
https://www.anthropic.com/engineering/building-effective-agents
6. Anthropic’s Prompt engineering overview
When to prompt-engineer – tweak or fine-tune
Prompting vs. fine-tuning – what are the pros and cons
Practical tips – role prompts, Chain of Thought (CoT), long-context hints, XML tags
https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview
7. Google’s Agents Companion whitepaper
(3rd party website)
AI agent flow – from intent to action
Evaluation metrics – measure speed, quality, & cost
Real examples – detailed breakdown of two agents
https://www.kaggle.com/whitepaper-agent-companion
8. Google Cloud – 601 real-world AI use cases
601 real examples
Industry tags – ex: media, finance, etc.
Agent capabilities - goal vs solution oriented
https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders
9. Google Prompt engineering whitepaper
(3rd party website)
Prompt staging - zero vs multi-shot
Advanced patterns – ex: CoT, Tree of Thought (ToT)
Code prompting
Ready to move from Planning to Production?
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-Derek C., VP of Business Development
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