The only AI Strategy you need
Prompting + Assistance + Autonomy = AI Success
Happy Friday! This is Ryan Staley of Whale Boss where I share the latest weekly insights, prompts, and workflows to unleash the power of AI! š„
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Hereās what we got for you:
š¤ The only AI Strategy you need
š§ Weekly Podcast Updates
š The new OpenAI 4o ImageGen upgrade
āļø The "think" tool: Enabling Claude to stop and think in complex tool use situations
š® OpenAI says its AI voice assistant is now better to chat with
š¤ Gemini 2.5: Our most intelligent AI model
šMicrosoft is exploring a way to credit contributors to AI training data
š¤ The only AI Strategy you need
Prompting + Assistance + Autonomy = AI Success
This hit me like a ton of bricks after 5 different company AI transformations last week.

All 3 components drive AI transformation. Remove just one, and the strategy fails.
ā³ Without Prompting:
Teams miss out on a 20% boost in capacity. They struggle to manage tasks and lose potential revenue.
ā³ Without Assistance:
Strategic AI support brings a 40% uplift. Without it, teams lack the tools to excel, leading to missed deals and profits.
ā³ Without Autonomy:
Autonomous agents can replace full JOBS (eventually), but many still act as assistants.
Without proper implementation, they only handle tasks, not complex responsibilities.
It's vital to embrace all 3 parts of this strategy:
Prompting: To master prompting, train your team to ask the right questions. Encourage clear communication to unlock AI's full potential.
AI Assistants: To leverage assistance, integrate AI tools tailored to specific roles. Identify key performance indicators and align support to meet those needs.
Agent Autonomy: To explore autonomy, gradually introduce agents for complex tasks. Evaluate their impact and adjust roles as needed to enhance efficiency.
Adopt this 3-part strategy and watch your team thrive.
The success of AI in your organization reflects the effort you put into its integration.
šThis week's podcast episodes...

š® The new OpenAI 4o ImageGen upgrade.

This is native in the 4o and in Sora.
Really strong improvements over the previous models.
Pro Tip- if the words are messed up, initially ask it to ārecreate the picture, but make the words accurate.ā As you can see they are still not accurate, but I really stretched it with the complexity of this visual. I have seen it work on simple text that is less complex.
What do you think?
š¹The "think" tool: Enabling Claude to stop and think in complex tool use situations

Image: Anthropic
Anthropic introduced a "think" tool to improve Claude's complex problem-solving skills. Unlike "extended thinking" (initial deeper planning), the "think" tool lets Claude pause and reflect mid-response, especially useful in complex, sequential, or policy-heavy tasks.
Key results:
Improved Claudeās performance significantly on Ļ-Bench customer service tasks:
Airline domain: 54% improvement (0.570 vs. 0.370 baseline).
Retail domain: Improvement even without prompting (0.812 vs. 0.783 baseline).
Best used when:
Carefully analyzing tool outputs
Following detailed policies
Making sequential decisions
Implementation tips:
Provide domain-specific prompting examples
Embed complex instructions in system prompts
The tool is simple, effective, and easy to integrate, but unnecessary for simpler or parallel tasks. āRead more here.
š®OpenAI says its AI voice assistant is now better to chat with

OpenAI updated ChatGPT's Advanced Voice Mode to make conversations more natural and reduce interruptions when users pause or take breaths. Free users can now pause without the AI interrupting them, while paid subscribers gain additional improvements, including fewer interruptions and a more engaging, concise, and creative assistant. These updates come as competition heats up in the AI voice assistant market, with startups like Sesame and major companies like Amazon preparing similar offerings. Read more.
š¤Gemini 2.5: Our most intelligent AI model

Google introduced Gemini 2.5, its most intelligent AI model yet, emphasizing enhanced reasoning and accuracy. The experimental Gemini 2.5 Pro debuts at #1 on the LMArena leaderboard, excelling at advanced tasks like math, science, coding, and reasoning benchmarks.
Notable features include improved multimodal understanding, a large 1-million-token context window (soon expanding to 2 million), and exceptional coding capabilities. Gemini 2.5 Pro is now available in Google AI Studio and the Gemini app, with broader availability on Vertex AI coming soon. Know more here.
š®Microsoft is exploring a way to credit contributors to
AI training data

Image Credits: JASON REDMOND / AFP / Getty Images
Microsoft is launching a research project aimed at tracing and estimating how specific training data influences the outputs of generative AI models. The initiative, described as "training-time provenance," explores how models could transparently attribute the impact of particular data sources, potentially enabling recognition or payments to data contributors.
This effort aligns with Microsoft's interest in addressing copyright concerns and IP lawsuits it currently faces, including cases from The New York Times and software developers. The project's broader goal, supported by researcher Jaron Lanier, is tied to the concept of "data dignity," emphasizing fair acknowledgment and compensation for creators whose work informs AI-generated content.
Your competitors are already using AI.
Don't get left behind.
Don't get left behindāAI is evolving faster than you think.
Unlock your team's potential by mastering these three AI strategies: precise prompting, role-specific AI assistants, and strategic agent autonomy.
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