Bookmark: How openai’’s new ChatGPT agent can do the research for you - access it here

Discover how OpenAI's ChatGPT Deep Research agent transforms research by autonomously gathering and synthesizing information in minutes.
How OpenAI’s new ChatGPT agent can do the research for you - access it here
OpenAI’s introduction of the Deep Research agent in ChatGPT marks a significant advancement in AI capabilities, offering users a tool that can autonomously conduct comprehensive research. This feature, powered by an optimized version of OpenAI’s o3 model, excels in multi-step research processes by gathering and synthesizing information from the web into detailed reports in a matter of minutes, a task conventionally demanding hours from a human researcher. Deep Research is particularly beneficial for professions that require intensive knowledge work, like finance and engineering, as it can efficiently locate niche information through myriad online resources. However, OpenAI cautions users to verify the generated information, as the agent may, albeit at a lower rate than previous models, hallucinate facts or make incorrect inferences. Initially available to ChatGPT Pro users, Deep Research will be extended to other subscription tiers, reflecting OpenAI’s phased rollout strategy. The tool’s performance, notably surpassing other AI models in benchmark tests, demonstrates its potential to redefine digital research capabilities. Despite its high utility, OpenAI highlights the necessity of human oversight, especially in discerning authoritative information.
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
The worker isn't lying. The worker is reporting what it thought it did, which is always one step removed from what the world actually shows. The fix isn't more self-honesty. The fix is a different pair of eyes.
Shopping is the last mile
Every meal planning app treats cooking as the hard problem and shopping as a logistics detail. They have it backwards. Cooking is mostly solved. Shopping is the last mile.
Watch what they buy, not what they say
Forms ask people to declare preferences. Receipts record what they did. The gap between the two is where revealed preference lives, and it's wider than most product teams admit.
Bookmark: OpenAI’s ‘deep research’ can actually make professional reports with citations
Unlock the power of OpenAI's Deep Research to generate professional reports with citations, saving you hours on complex research tasks.
Bookmark: Goodbye digital transformation, hello AI-first business transformation
Embrace AI-first transformation to innovate and streamline business operations, breaking down silos and enhancing decision-making for exponential growth.
Bookmark: Rumors are swirling that OpenAI is on the brink of agi and asi
OpenAI may be nearing breakthroughs in AGI and ASI, with hints of self-improving models and industry anticipation for significant updates.