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Geeky Gadgets
10 hours ago
- Business
- Geeky Gadgets
How to Add Smart AI Agents to Your Websites in 2025
Imagine this: a potential customer visits your website late at night with a pressing question. There's no one available to assist, and they leave, frustrated, never to return. Now, picture the same scenario, but this time, a smart AI agent instantly answers their query, schedules a follow-up, or even processes their purchase—all within seconds. In 2025, this isn't just a futuristic dream; it's the new standard for businesses that want to stay competitive. With AI agents becoming more intuitive and accessible than ever, integrating one into your website is no longer a luxury—it's a necessity. But how do you ensure your AI agent doesn't just exist but truly improves your customer experience? In this step-by-step guide by Skill Leap AI, you'll uncover how to seamlessly add a smart AI agent to your website, from building a robust knowledge base to embedding it with user-friendly tools. Along the way, you'll learn how to select the right AI model, refine its capabilities, and integrate it with platforms like Slack or Stripe for enhanced functionality. Whether you're looking to streamline operations or create a more engaging digital presence, this guide will equip you with actionable insights to make it happen. By the end, you'll not only understand the technical process but also the strategic value of deploying an AI agent that truly works for your business and your users. After all, the future of online interaction is here—are you ready to embrace it? Integrating AI Agents into Websites What is an AI Agent? An AI agent is a virtual assistant powered by artificial intelligence, designed to perform specific tasks and interact with users in a conversational manner. It uses a knowledge base, executes predefined actions, and integrates with external tools like calendars, payment systems, or customer relationship management (CRM) platforms. By automating repetitive tasks, an AI agent can significantly enhance efficiency and customer satisfaction. For example, an AI agent can: Answer frequently asked questions: Provide instant responses to common queries, reducing the workload on human support teams. Provide instant responses to common queries, reducing the workload on human support teams. Schedule meetings: Use tools like Calendly to simplify appointment booking. Use tools like Calendly to simplify appointment booking. Process payments: Integrate with platforms such as Stripe to handle secure transactions. The adaptability and functionality of AI agents make them a valuable addition to any website, helping businesses save time and improve user experiences. 1: Build a Comprehensive Knowledge Base The knowledge base serves as the foundation of your AI agent, containing the information it uses to answer questions and perform tasks. A well-organized and detailed knowledge base ensures your AI agent delivers accurate and helpful responses. To create a robust knowledge base, you can: Upload documents: Include PDFs, Word files, or spreadsheets containing relevant information. Include PDFs, Word files, or spreadsheets containing relevant information. Copy and paste text: Directly input essential content into the platform for quick access. Directly input essential content into the platform for quick access. Link to external resources: Connect to website pages, Notion databases, or FAQ sections for additional context. For instance, a technical support business might upload product manuals, troubleshooting guides, and instructional videos. Organizing this data effectively ensures the AI agent can provide precise and timely assistance to users. Using AI Agents for Improved Customer Website Experiences Watch this video on YouTube. Enhance your knowledge on AI Agents by exploring a selection of articles and guides on the subject. 2: Select the Right AI Model Choosing the appropriate AI model is critical to the success of your AI agent. Different models, such as large language models (LLMs) like GPT40 Mini or advanced reasoning models, offer varying levels of complexity, cost, and functionality. When selecting a model, consider the following factors: Budget: Evaluate the cost of the model and ensure it aligns with your financial resources. Evaluate the cost of the model and ensure it aligns with your financial resources. Functionality: Determine whether the model can handle the specific tasks your business requires. Determine whether the model can handle the specific tasks your business requires. Customization: Use system prompts to define the agent's tone, role, and limitations, making sure it aligns with your brand identity. For example, if your AI agent needs to handle complex customer queries, a reasoning model may be more suitable. Customizing prompts allows you to fine-tune the agent's behavior, making sure it communicates effectively and maintains a professional tone. 3: Test and Refine Your AI Agent Thorough testing is essential before deploying your AI agent. This step ensures the agent performs as expected and meets user needs. Use a testing environment to simulate real-world interactions and evaluate its responses. During this phase, you should: Identify knowledge gaps: Update the knowledge base with additional information as needed. Update the knowledge base with additional information as needed. Refine system prompts: Adjust the agent's behavior to improve its accuracy and tone. Adjust the agent's behavior to improve its accuracy and tone. Test edge cases: Evaluate how the agent handles complex or unusual queries. For example, if the agent struggles to answer a specific type of question, you can add relevant data to the knowledge base or tweak its training parameters. This iterative process ensures the AI agent is ready for deployment and capable of delivering a high-quality user experience. 4: Integrate Tools for Enhanced Functionality Integrating external tools with your AI agent expands its capabilities and allows it to perform a wider range of tasks. Depending on your business needs, you can connect the AI agent to platforms such as: Slack: Assist team communication and collaboration. Assist team communication and collaboration. Stripe: Enable secure and efficient payment processing. Enable secure and efficient payment processing. Calendly: Simplify appointment scheduling for users. Additionally, you can use APIs or create custom actions to enable advanced functionalities. For instance, an e-commerce business might integrate its inventory management system, allowing the AI agent to provide real-time stock updates to customers. These integrations enhance the agent's utility and ensure it delivers value to both your business and its users. 5: Embed the AI Agent on Your Website Embedding the AI agent into your website is the final step in the integration process. This is typically achieved using an embed code, which allows you to add the agent as a chat bubble or a full-page iframe. To ensure a seamless user experience, consider the following: Customize the interface: Match the chat interface to your website's design by adjusting colors, fonts, and icons. Match the chat interface to your website's design by adjusting colors, fonts, and icons. Craft a welcome message: Create an engaging introduction to encourage users to interact with the agent. Create an engaging introduction to encourage users to interact with the agent. Test responsiveness: Ensure the interface works smoothly on various devices, including desktops, tablets, and smartphones. For example, a travel agency might design the chat interface to include quick links to popular destinations, making it easier for users to navigate and find relevant information. These customizations enhance usability and encourage user engagement. Monitor, Optimize, and Expand Your AI Agent Once your AI agent is live, ongoing monitoring and optimization are essential to maintain its effectiveness. Use analytics tools to track key metrics such as chat logs, confidence scores, and user satisfaction. These insights can help you: Identify improvement areas: Update the knowledge base or refine system prompts to address user feedback. Update the knowledge base or refine system prompts to address user feedback. Enhance performance: Adjust the agent's behavior to better meet user needs and expectations. Adjust the agent's behavior to better meet user needs and expectations. Expand deployment: Extend the agent's reach by integrating it with other platforms like WhatsApp, Instagram, or Slack. Regular updates and optimizations ensure your AI agent continues to deliver value over time, adapting to evolving business needs and user expectations. By taking a proactive approach to maintenance, you can maximize the benefits of your AI agent and solidify its role as a key asset for your organization. Media Credit: Skill Leap AI Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Business Recorder
4 days ago
- Business
- Business Recorder
The alchemy of scale: turning MVPs into market-defining products
Every ambitious startup begins with a hypothesis. An idea that a specific need exists, and that a lean, targeted solution can meet it. That hypothesis materializes into a Minimum Viable Product (MVP), a first attempt to engage the market and test assumptions in real time. It is the crucial first step, but far from the finish line. The path from MVP to a scalable, sustainable business is neither straightforward nor guaranteed. Usually, it is a carefully balanced act of vision, technical foresight, and adaptability. The startup graveyard is littered with ventures that failed to move beyond the early boom. A 2023 CB Insights report revealed that 42% of failed startups cited misreading market demand as the primary reason for shutting down, while a 2022 Stripe infrastructure report found that 68% of growing startups were blindsided by escalating technical costs that ultimately disrupted their growth plans. These insights underscore a common reality; initial success is encouraging, but it is only meaningful if the product architecture and organizational mindset are prepared for scale. Successful companies understand that the MVP is not just a tool for validation. It is a foundation on which future complexity must be carefully built. Take the example of Airbnb, which started in 2008 with a simple WordPress site and a vision for short-term room rentals. As the platform grew, its technical backbone evolved from a single code-based system to sophisticated modular services. This shift was not merely about performance gains; it allowed Airbnb to handle 150 million daily searches with sub-second latency by the time of its IPO in 2020. Aristotle Balogh, then CTO, reflected that this painful rewrite from monolith to services also resulted in USD 50 million in annual cloud savings, directly impacted their unit economics and long-term viability. In markets like Pakistan, where infrastructural challenges often force constrained innovation, similar lessons apply. Dastgyr, a B2B marketplace aimed at fixing fragmented retail supply chains, launched its MVP in 2020 with a focus to provide inventory visibility to small kiryana and grocery stores in Karachi through a mobile app. The company claims that even before expanding beyond the first neighborhood, they had already built out warehouse integration APIs which helped in maintaining a 98% delivery success rate; a key metric that helped secure USD 37 million in funding. At the heart of such growth stories, lies a consistent thread. The discipline to collect and act on real user behavior. McKinsey's 2023 benchmarking study found that startups leveraging behavioral data, scale revenue 2.3 times faster than those relying on gut instinct. Canva is a case in point. Originally a simple design tool with a few templates, Canva embedded analytics early to monitor how users interacted with their editor. When data revealed that templates were responsible for 92% of user engagement, the company expanded its asset library dramatically. Over time, those insights helped reduce time-to-first-design by 65%, transforming a basic MVP into a platform used by more than 60 million people worldwide. For many scaling ventures, the right development partner can make all the difference. A Pakistan based IT and ITeS firm, Devsinc's work with a US-based real estate investment platform exemplifies this principle. When the startup needed to scale from its initial MVP to support institutional-grade investment operations, Devsinc architected a complete infrastructure overhaul that integrated blockchain technology with traditional financial systems. This helped the platform support over 3,500 investors managing USD 5 million in transactions, while maintaining 99.7% uptime during peak investment periods. Devsinc implemented seven different payment gateway integrations, reducing transaction failures by 87% compared to the original MVP. This technical foundation enabled the startup's successful acquisition by a major investment platform. Eventually, almost every growing startup faces a reckoning. The MVP-era shortcuts can no longer sustain user demand. According to Stripe's 2023 analysis of 500 post-MVP companies, 61% had to undertake major infrastructure rewrites. Critically, those who delayed these rewrites until after crossing 500,000 monthly active users took three times longer to raise their next round. Instagram's own rebuild in 2016 from a Django monolith to a React-based architecture shows what is at stake. The redesign reduced crash rates by 90%, laying groundwork for a product that now serves over a billion users. This performance factored heavily into its USD 100 billion valuation by Meta. These journeys reveal that scaling a startup is as much about mindset as it is about code. It requires teams to balance user-centered iteration with infrastructure that can grow in complexity without collapsing under its own weight. Patrick Collison, co-founder of Stripe, says, 'Startup mortality correlates less with growth speed than with growth quality.' In this sense, the MVP is never just a prototype. It is a lens into a team's thinking of how they prioritize, how they learn, and how they plan for the future. Whether you are building in Silicon Valley or scaling across South Asia, the principle holds that today's technical decisions shape tomorrow's outcomes. For startups with the right partners and the right foresight, that future can be transformational. For Pakistani founders, the question isn't whether to scale or not; but how to align growth with sustainable architecture
Yahoo
5 days ago
- Business
- Yahoo
Stripe's CEO says he loves asking AI questions — but it falls short in another area
Stripe's CEO says he uses AI tools like xAI's Grok to answer "factual or empirical questions." But when it comes to writing, the fintech CEO draws the line. "I usually end up dissatisfied with the writing that they produce," said Patrick Collison. Stripe's CEO, Patrick Collison, loves using AI to ask factual questions — just don't ask him to let it write for him. In a conversation with Cursor's CEO, Michael Truell, which was uploaded to Cursor's YouTube channel on Tuesday, Collison said he relies on AI tools like xAI's Grok to answer questions while reading. The CEO of the payments platform said he uses the tools "mainly for answering factual or empirical questions." "I find them terrific for that," he added. Collison said he uses Grok in voice mode, letting it run in the background while he reads so he can ask questions out loud. "The answers are very helpful," he added. But when it comes to writing, Collison draws the line. "I wish they were useful for writing," he said. "But I usually end up dissatisfied with the writing that they produce." What bothers him most is the lack of personal flair, even when he tries prompting the AI not to sound generic. "My personal style differs from the personal style, so to speak, of the models," he said. "In some self-centered way, when I write, I want to use my personal style." His comments reflect a view held by some tech leaders: AI may be great for research and brainstorming, but when it comes to voice and tone, human creativity still wins. LinkedIn's chief operations officer, Dan Shapero, told Business Insider in April that while he turns to AI chatbots for tips on writing and presenting, he doesn't use LinkedIn's AI summary feature to write his own profile — he has lots of practice writing in first person. Collision and Stripe did not respond to a request for comment from Business Insider. Tech CEOs have been vocal about how they weave AI into their daily lives. Microsoft's CEO, Satya Nadella, said he uses Copilot to summarize his Outlook and Teams messages. He uses at least 10 custom agents from Copilot Studio to help with meeting prep and research, he said during a Bloomberg interview published in May. He also uploads podcast transcripts to the Copilot app on his phone so he can discuss the content with a voice assistant during his commute. OpenAI CEO Sam Altman said he used AI "constantly" after welcoming his first child in February. "Clearly, people have been able to take care of babies without ChatGPT for a long time," Altman said in an OpenAI podcast interview published last month. "I don't know how I would have done that." Altman said he now mostly uses ChatGPT to research babies' developmental stages. Nvidia's CEO, Jensen Huang, takes a more educational approach. He said he uses AI programs to learn new concepts. "I use it as a tutor every day," Huang said during the Milken Institute Global Conference in May. "In areas that are fairly new to me, I might say, 'Start by explaining it to me like I'm a 12-year-old,' and then work your way up into a doctorate-level over time." Read the original article on Business Insider
Hamilton Spectator
6 days ago
- Business
- Hamilton Spectator
Mark Carney will be ‘conflicted at every turn' unless he sells financial assets, Pierre Poilievre claims
OTTAWA—Days after details of the prime minister's sweeping conflict of interest screen were made public, the federal Conservatives say Mark Carney should sell all of his assets due to a host of potential issues they argue will impede his ability to do his job. 'This will put (Carney) in an impossible position where he will be conflicted at every turn,' Conservative Leader Pierre Poilievre told reporters Monday afternoon. 'Either he will have to get up three or four times every cabinet meeting to avoid stumbling over the 100-plus potential conflicts that the ethics commissioner has identified, or he will act in cabinet to potentially favour his own interests. Neither of those possibilities is acceptable.' The disclosure, issued Friday by the Office of the Conflict of Interest and Ethics Commissioner, outlines details of the former central banker's investments and the conflict of interest screen he agreed to implement to avoid receiving preferential treatment as a public office holder due to his prior business dealings. The screen is being administered by Carney's chief of staff, Marc-Andre Blanchard, and Clerk of the Privy Council, Michael Sabia, 'to ensure that I am neither made aware of nor participate in any official matters or decision-making processes involving the Companies' interests,' Carney's declaration states. 'I may, however, participate in a discussion or decision on a matter that is of general application or that affects the Companies' interests as a member of a broad class of persons unless those interests are disproportionate to the other members of the class.' The filing shows that Carney has agreed to recuse himself from matters tied to more than 100 entities, including investment firm Brookfield Asset Management, its parent company Brookfield Corporation, and payment processing company Stripe. Carney resigned as board chair of Brookfield Asset Management in January when he entered the federal political scene, and also stepped down from other positions, including another board role at Stripe. Following his ascension to the top of the Liberal party, Carney also set up two conflict of interest screens for both companies, and put his assets, aside from 'cash and personal real estate,' into a blind trust, something the prime minister has argued he did well ahead of the deadline that must be met within 120 days of taking office. Last week's disclosure details the myriad investments Carney placed in the blind trust. It also shows that Carney divided the 103 entities captured by his ethics screen into three categories: 25 entities for which he previously held a management or oversight role, four 'Brookfield portfolio companies' that appear in the federal lobbyist registry, and 74 entities included 'out of an abundance of caution' because they were identified as being linked to Brookfield, even though Carney 'had no role in managing them, and no direct financial interest in them.' Errol Mendes, a professor of constitutional and international law at the University of Ottawa and a former senior adviser to the Privy Council Office, said that Carney's third 'catch-all category' shows that the prime minister is prepared to come under close scrutiny. Mendes also said that while he understands opposition concerns about Carney's assets because they are 'one of the most extensive holdings that a prime minister has had,' he doesn't back Poilievre's call for Carney to sell off all his investments and hand the cash over to a trustee. 'I don't think, to my knowledge, that anyone would fully have expected every single prime minister in this situation to completely sell off everything he or she has,' Mendes said. Robert Shepherd, a professor of public policy and administration at Carleton University, said it's not entirely realistic to go Poilievre's proposed route. 'Sure, if you want to be purer than the driven snow, then yes, technically, you shouldn't own anything, right?' Shepherd said. He also said he doesn't put much stock in Poilievre's argument that Carney's corporate history would render the prime minister nearly useless in cabinet meetings. 'The opposite complaint would be that he didn't declare any conflicts of interests or recuse himself. So you can't have it both ways. You either want the law to bring out conflict of interest — potentially or actual — or you don't. So which way would Mr. Poilievre like that argument to go?' Shepherd said. On Monday, government watchdog group Democracy Watch released a statement also demanding that Carney sell his investments, citing the step as the 'only effective way to end the serious, unethical and damaging financial conflicts of interest caused by his investments in more than 500 companies.' The group also called the prime minister's ethics shield a 'loophole-filled, unethical smokescreen.' The Prime Minister's Office said Carney has been working closely with the ethics commissioner to not only comply with all of his obligations, but to also 'exceed them.' 'All of his investments were placed in the blind trust and all investment decisions are taken independently from him. Furthermore, the vast majority of the securities divested had been held in an investment account managed by a third party, over which the prime minister neither controlled nor directed the selection of the specific investments,' read a statement from spokesperson Emily Williams. 'The prime minister also proactively put in place a voluntary screen to proactively avoid any potential conflicts of interest, with the guidance of the ethics commissioner. In all of his work for Canadians, the prime minister will continue to serve with the highest standards for integrity at all times.'
Business Standard
6 days ago
- Business
- Business Standard
Canva integration in Claude AI enables text prompt-based design creations
Anthropic's Claude AI is getting a new ability which will let users create, edit, and manage Canva designs simply by describing what they want in natural language. This integration brings Canva's design tools directly into Claude's chat interface, eliminating the need to switch between apps. Alongside Canva, Claude is also gaining new connectors for popular services like Notion and Stripe, as well as desktop apps such as Figma, Socket, and Prisma. These connectors allow Claude to interact with both web-based and local tools, enabling it to perform tasks, fetch data, and respond with greater contextual awareness. Canva integration within Claude AI Users with paid subscriptions to both Claude and Canva can now ask Claude to create presentations, resize images, or fill out templates just by using text prompts. Claude can also search for keywords within Canva Docs, Presentations, and brand templates, and can even summarise design content.
