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AI Tool of the Week: How to get end-to-end tasks done using Genspark Super Agent
AI Tool of the Week: How to get end-to-end tasks done using Genspark Super Agent

Mint

time17-05-2025

  • Business
  • Mint

AI Tool of the Week: How to get end-to-end tasks done using Genspark Super Agent

Next Story Jaspreet Bindra ,Anuj Magazine AI Tool of the Week: While most AI tools today stop at helping you brainstorm or draft content, Genspark goes much further. Genspark can handle real-world actions such as making a phone call, building a report, or creating presentation slides. (iStock) Gift this article Artificial intelligence tools can make solid suggestions on a query rather than just throw up links as search engines do. But what if an AI tool can also do your work for you? Today's Mint AI tool of the week is Genspark Super Agent, a general-purpose AI that can automate complex, multi-step tasks-going beyond simple chat or content generation. Artificial intelligence tools can make solid suggestions on a query rather than just throw up links as search engines do. But what if an AI tool can also do your work for you? Today's Mint AI tool of the week is Genspark Super Agent, a general-purpose AI that can automate complex, multi-step tasks-going beyond simple chat or content generation. Think of it like having a digital colleague who not only understands your request but also rolls up their sleeves to deliver the outcome. Imagine delegating work to someone who researches, analyzes, creates, and even communicates on your behalf. While most AI tools today stop at helping you brainstorm or draft content, Genspark goes much further. It uses a combination of language models, connects with over 80 built-in tools, and can handle real-world actions such as making a phone call, building a report, or creating presentation slides so you're not stuck doing the legwork AI usually leaves behind. It's for anyone who wants to get actual work done, not just get AI-generated suggestions. How to access: Genspark Super Agent can help you with: Workflow automation: Automate multi-step workflows (e.g., research>analysis>presentation). Voice actions: Make real phone calls to book meetings or collect info. Media generation: Generate multimedia (slides, videos, summaries). Context awareness: Keep context across tasks and explain its reasoning. Example: You are a business professional preparing for an important client meeting. You need a market analysis report and a polished presentation summarizing trends, competition, and growth opportunities—all ready to go. Go to Click 'Super Agent' from the left menu Prompt: 'Research the electric vehicle market in 2025, focusing on key players, market size, and technological trends. Create a detailed report and a 10-slide presentation summarizing the findings with charts and visuals." (This task may take several minutes to complete) Agents in action: Deep Research agent: Gathers and synthesizes market data. Data Analysis agent: Extracts trends and insights. Slides agent: Designs a 10-slide presentation with visuals. What makes Genspark special? Real-world execution: It can take actual actions like making phone calls, generating reports, or creating presentations, giving you tangible outcomes. Transparent thinking: Genspark shows which tools or models it used and why. Free credits available: You can try it right away without technical know-how or setup. AI Tool of the Week | How to crack research papers at breakneck speed Note: The tools and analysis featured in this section demonstrated clear value based on our internal testing. Our recommendations are entirely independent and not influenced by the tool creators. Jaspreet Bindra is co-founder and CEO of AI&Beyond. Anuj Magazine is also a co-founder. Topics You May Be Interested In Catch all the Business News, Market News, Breaking News Events and Latest News Updates on Live Mint. Download The Mint News App to get Daily Market Updates.

How to run a strategy pre-mortem with ChatGPT's o3 model
How to run a strategy pre-mortem with ChatGPT's o3 model

Mint

time03-05-2025

  • Business
  • Mint

How to run a strategy pre-mortem with ChatGPT's o3 model

{{^loggedIn}} {{/loggedIn}} {{#loggedIn}} {{/loggedIn}} Next Story Jaspreet Bindra ,Anuj Magazine Let's say you are a project manager preparing to launch a product or a strategy. And you want a peek into all the ways it could fail. Imagine you could look into the future to see all the ways your product or strategy could fail. (Pixabay) Gift this article Let's begin with the term 'pre-mortem'. Unlike a post-mortem that analyses the reasons behind a particular outcome, a pre-mortem is a structured exercise done before you launch a major initiative. Everyone imagines the strategy has failed badly two years in the future and works backward to list the reasons. The team then turns those hypothetical failure causes into risk-mitigation actions or design changes while there's still time. Let's begin with the term 'pre-mortem'. Unlike a post-mortem that analyses the reasons behind a particular outcome, a pre-mortem is a structured exercise done before you launch a major initiative. Everyone imagines the strategy has failed badly two years in the future and works backward to list the reasons. The team then turns those hypothetical failure causes into risk-mitigation actions or design changes while there's still time. Why is doing pre-mortems so hard? Because it's not just logic at play—it's ego, politics, and fear. Leaders hesitate to run pre-mortems because they're already emotionally invested in the strategy. Confirmation bias creeps in—we look for reasons it'll work, not why it might fail. And then there's the fear factor: calling out what could go wrong can feel like you're betting against the team. So the session becomes a formality. Risks are raised, maybe even nodded at, but rarely owned or acted upon. The tool to use: ChatGPT o3 model. Access via Example: A chief strategy officer at a telecom firm greenlights a bold expansion into the Asia-Pacific market using AI-driven cybersecurity. Before execution, she runs a pre-mortem with OpenAI's o3 model using the following prompt: Assume that the following strategy, which was selected as the most promising option after red teaming and simulation, has failed spectacularly two years after implementation. Strategy chosen: [[Insert final strategy description here]] Your task is to conduct a pre-mortem analysis—working backward from failure to identify what could have gone wrong. Critically evaluate and respond to the following: 1. What were the early warning signs we missed or ignored? 2. What flawed assumptions turned out to be false? 3. Which internal weaknesses—talent, systems, incentives, org structure—amplified the failure? 4. What external shocks (market, regulation, geopolitical, tech evolution) derailed the strategy? 5. Where did execution break down (timing, leadership, resourcing, dependencies)? 6. Which stakeholders (clients, partners, employees) resisted or disengaged, and why? 7. What feedback loops or course-correction mechanisms were missing or underused? 8. If you could go back, what 3 specific safeguards or contingency plans would you embed in the strategy before launch? Be brutally honest. Your goal is not to defend the strategy but to make it failure-proof. What makes ChatGPT o3 special? 1. Advanced reasoning capabilities: The o3 model excels in complex tasks requiring step-by-step logical reasoning. 2. Multimodal integration: o3 seamlessly combines text and visual data, allowing it to interpret and reason about images, charts, and graphics within its analytical processes. 3. Real-time tools access: The model incorporates live tools usage into its reasoning, enabling it to extend its capabilities at the inference time. Also read How to crack research papers at breakneck speed How to identify if an image is generated by ChatGPT Mastering complex research papers faster with NotebookLM's Mind Maps Eliminating repetitive phrases in ChatGPT responses Note: The tools and analysis featured in this section demonstrated clear value based on our internal testing. Our recommendations are entirely independent and not influenced by the tool creators. Jaspreet Bindra is co-founder and CEO of AI&Beyond. Anuj Magazine is also a co-founder. Topics You May Be Interested In Catch all the Business News, Market News, Breaking News Events and Latest News Updates on Live Mint. Download The Mint News App to get Daily Market Updates.

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