Observed Signal · May 30, 2026 · Technical Release · Source: t3n · Impact: 4/5 · Sentiment: Neutral

Are Chatbots Really Different? LLMs Personality Test

Executive Signal Summary

t3n examines whether different chatbot 'personalities' produce meaningfully different behavior. The article cites a study (linked) that analyzed 1.1 million prompts and found ChatGPT most often used as an advisor (28.3%), as a writing assistant (28.1%), and for information search (21.3%). It reports that since the GPT-5 release, ChatGPT allows users to adjust the bot's personality and tone. To evaluate differences, t3n's Tool Time tested language models using the Big Five personality test and published a video showing the methodology and results. The piece frames personality presets as a response to diverse user needs but stops short of concluding how practically distinct the personalities are.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

OpenAI's GPT-5 product change (adjustable personalities) comes from a major platform and can affect conversational UX, use cases for LLMs, and potential ad/engagement strategies in chat interfaces.

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Key Takeaways & Evidence Grounding

  • A study analyzed 1.1 million ChatGPT prompts: 28.3% related to advice, 28.1% to writing assistance, and ~21.3% to information search.
  • OpenAI's GPT-5 release introduced adjustable 'personality' settings for ChatGPT.
  • t3n tested language models using the Big Five personality test and published a Tool Time video describing the results.
  • t3n notes that personality and tone adjustments aim to match varied user use cases (e.g., cynical for critique, creative for writing).
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: t3n•Published: May 30, 2026
Original Coverage Title: “Sind Chatbots wirklich so unterschiedlich? LLMs im Persönlichkeitstest”

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15 ChatGPT Prompts to Save Time

OnlineMarketing.de surveys 15 ChatGPT prompts designed to boost productivity by saving time across marketing and content tasks. The prompts span categories such as explaining complex topics to lay audiences, Critique mode for rigorous feedback, Expert Interview simulations, Meeting Preparation, Reverse Briefs, Research Synthesis, Decision Matrices, Jargon Translation, Email drafting, Code explanations, Idea stress tests, Content repurposing for multiple formats, Learning paths, Analogies generation, and Second-Order Thinking. Each prompt explains its function and why it enhances efficiency—reducing unnecessary detail, surfacing risks earlier, and enabling multi-format outputs from a single source. The article notes that context and iterative tuning improve results (per zmilesbruce) and suggests adapting examples for other chatbots like Claude and Gemini. It also references Agentic Workflows with ChatGPT, implying potential time savings of about 10 hours per week. The piece was first published January 23, 2026, by OnlineMarketing.de.

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Conversational AI & ChatbotsJul 5, 2026

Prompts to Teach LLMs Your Writing Style

t3n published a how-to article describing two prompt templates (a short and a detailed variant) to help users analyze and transfer their personal writing tone to AI chatbots such as ChatGPT and Claude. The piece references a t3n MeisterPrompter podcast episode that provides the templates and instructions — including attaching 3–5 documents for analysis and exporting the AI's tonality analysis as a reusable PDF. Co-host Susanne Renate Schneider recommends a quick prompt: “Please analyze my tonality and describe it in five words.” The article also notes that the publisher used its internal AI tool to produce the text and includes third-party promotional content from TargetVideo GmbH and Podigee GmbH.

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