#software development agents

[learn-ai-free]

How to Build Custom AI Agents in Minutes Using Chai (Vibe Code)

Most business teams are still struggling to push the idea of an AI agent from the whiteboard to production—Why? The majority of professionals are non-technical and do not have a deep understanding of what goes on behind the scenes.

What is Chai by Langbase? 📌

Chai by Langbase is a prompt‑first service that builds, deploys, and scales AI agents straight from plain English. In much simpler terms, Chai can build AI agents for you. Users can vibe code production-ready AI agents within minutes after entering the prompt/ agent idea.

What sets Chai apart? 📌

Langbase describes Chai with three simple verbs—"Prompt. Sip. Ship," which literally means enter a prompt for your agent, sip chai tea while it vibe codes the agent for you, and ship it to your clients.

How to Build Custom AI Agents in Minutes Using Chai (Vibe Code) 📌

Step 1️⃣: Visit Chai.new.

Step 2️⃣: Enter a prompt for the AI agent.

Step 3️⃣: Chai will start by thinking and creating an overview of the AI agent.

Step 4️⃣: Deploy the AI agent.

↗️ Full Read: https://aiagent.marktechpost.com/post/how-to-build-custom-ai-agents-in-minutes-using-chai-vibe-code

[icqmuseum24]

🇷🇺 Another chapter in the history of instant messaging comes to a close as on August 20, 2024 VK announces the shutdown of Mail.ru Agent, following in the footsteps of ICQ. Both of these iconic messengers once defined how we communicated online, especially in the early 2000s.

📟 ICQ, launched in 1996, was the pioneer of instant messaging, developed by the Israeli company Mirabilis. With its distinctive “Uh-oh!” message alert, ICQ became the go-to platform for millions around the world, allowing people to connect in real-time long before social media took off. ICQ was later acquired by AOL in 1998, but as competition grew, its popularity faded. VK eventually took over ICQ, and despite various updates, the messenger couldn’t regain its former glory.

�� Mail.ru Agent was Russia’s response to ICQ, launched in 2003 as an integrated messaging service. It quickly became popular, especially in the Russian-speaking world, offering not just instant messaging but also voice and video calls. Over time, however, the rise of more advanced messaging platforms led to a decline in its user base. Now, VK, the company that merged with Mail.ru Group, has decided to discontinue Mail.ru Agent, marking the end of an era.

💔 The shutdown of these two messengers is a reminder of how quickly the digital landscape evolves. As we say goodbye to these icons, we also reflect on the nostalgia and the early days of online communication.

[hellogtx0]

Why Tour Operators Love helloGTX Travel CRM

Tour operators need effective solutions in today's fast-paced travel business to improve customer experiences, streamline operations, and stay ahead of the competition. GTX Travel CRM meets that need. It is a comprehensive travel software solution developed by Catabatic Technology customized to the unique requirements of travel businesses. We'll look into GTX's popularity among tour operators in this blog post, along with how it can completely change the way you run your travel agency.

1. Streamlined Operations

With Travel CRM, tour operators can streamline their day-to-day operations, from managing bookings and itineraries to handling customer inquiries and payments. The platform's intuitive interface and automation features make it easy to manage all aspects of your business from a single dashboard.

2. Enhanced Customer Experiences

GTX allows tour operators to provide personalized experiences to their customers, from customized itineraries to real-time updates and notifications. By understanding your customers' preferences and behavior, you can create tailored travel experiences that exceed their expectations.

3. Integrated Booking System

helloGTX Travel CRM Software comes with an integrated booking system that allows tour operators to manage bookings, reservations, and inventory in real time. Whether you're offering guided tours, hotel accommodations, or transportation services, it makes it easy to manage all aspects of your business from one platform.

4. Advanced Reporting and Analytics

With GTX's advanced reporting and analytics tools, tour operators can gain valuable insights into their business performance, customer behavior, and market trends. By analyzing this data, you can make informed decisions and optimize your operations for maximum efficiency and profitability.

5. Mobile Accessibility

It is fully mobile-responsive, allowing tour operators to manage their business on the go. Whether you're in the office, on the road, or out in the field, GTX offers a mobile app that anyone can access from any device with an internet connection, ensuring that you're always connected to your business.

6. Dedicated Customer Support

It provides dedicated customer support to help tour operators get the most out of the platform. Whether you need technical assistance, training, or advice on best practices, our team of experts is here to help you every step of the way.

Conclusion

In a competitive and rapidly evolving industry, tour operators need a reliable and efficient software solution to stay ahead of the curve. With Travel CRM, tour operators can streamline their operations, enhance customer experiences, and grow their business like never before. Discover why tour operators love helloGTX and revolutionize the way you manage your travel business today.

Call to Action

Ready to take your travel business to the next level? Schedule a demo and see how it can transform your operations, enhance customer experiences, and drive business growth.

Schedule a Demo Now

[reva1231]

AI development refers to the creation and implementation of artificial intelligence systems that can learn, reason, and perform tasks traditionally requiring human intelligence. It involves machine learning, natural language processing, and data modeling to build intelligent solutions. AI development helps automate processes, improve decision-making, and personalize user experiences. It is a core driver of innovation across industries such as healthcare, finance, retail, and manufacturing.

[clariontechnologies9]

Clarion - Advanced Generative and Agentic AI Services 

Given how quickly AI is developing, companies trying to remain ahead are now investigating generative AI development services and agentic AI consulting services to promote smarter automation, individualized consumer experiences, and large-scale innovation.  

By enabling systems that can take initiative, make decisions, and behave independently based on objectives and environmental circumstances, agentic AI goes beyond conventional machine learning and generative AI. This change enables companies to create intelligent digital agents that can manage intricate client interactions, workflows, and adaptive problem-solving with little assistance from humans. 

What Is Agentic AI? 

The term "agentic AI" describes AI systems built to function as independent agents that can see, reason, and act to accomplish predetermined goals. To comprehend complicated inputs and react dynamically, these systems make use of massive language models, reinforcement learning, and sophisticated generative models.  

Agentic AI facilitates proactive decision-making, assisting companies in their transition to intelligent, goal-driven automation, in contrast to standard AI systems, which are reactive. 

Clarion’s Agentic AI Consulting Services 

Clarion Technologies offers end-to-end agentic AI consulting services to help businesses identify, plan, and implement agentic AI solutions tailored to their industry needs. 

Our consulting process includes: 

✅ Opportunity Assessment: Identify areas where agentic AI can drive measurable improvements. 

 ✅ Strategy Roadmap: Align AI initiatives with your business goals for sustainable outcomes. 

 ✅ Tech Stack Planning: Choose the right models, frameworks, and architecture. 

 ✅ Proof of Concept Development: Test agentic AI use cases before full-scale deployment. 

 ✅ Implementation & Scaling: Seamless integration into your workflows with ongoing optimization. 

Whether it’s automating complex support systems, intelligent process automation, or dynamic resource management, Clarion ensures your agentic AI journey is practical and impactful. 

Generative AI Development Services by Clarion 

Generative AI is transforming industries by enabling content creation, personalized experiences, and advanced problem-solving through generative models like GPT, DALL-E, and custom LLMs. Clarion’s generative AI development services help businesses build solutions that leverage these models for innovation and efficiency. 

We specialize in: 

✅ Custom generative model fine-tuning and deployment 

 ✅ AI-powered chatbots and virtual assistants 

 ✅ Automated content generation for marketing and customer support 

 ✅ Generative design in creative and manufacturing industries 

 ✅ Predictive and prescriptive analytics using generative models 

From enhancing customer service with advanced chatbots to creating personalized product recommendations, Clarion’s team helps your business stay ahead with practical, generative AI solutions. 

Industries We Serve 

Clarion delivers agentic AI consulting services and generative AI development services across industries, including: 

Healthcare: Intelligent patient engagement, predictive diagnostics, and automated documentation. 

Retail & eCommerce: Personalized shopping assistants and automated content generation. 

Finance: Fraud detection, personalized financial advice, and intelligent reporting. 

Manufacturing: Generative design optimization and predictive maintenance. 

Education: Intelligent tutoring systems and content generation. 

Why Choose Clarion for Agentic and Generative AI? 

✅ 20+ Years of Technology Leadership 

 ✅ Access to AI/ML Engineers and Data Scientists 

 ✅ End-to-End Solution Delivery (Consulting, Development, Deployment) 

 ✅ Agile, Transparent Project Management 

 ✅ Custom Engagement Models for Startups, SMBs, and Enterprises 

Clarion’s approach ensures that your AI initiatives align with business objectives, delivering measurable ROI and competitive advantage. 

Take the Next Step in Your AI Journey 

Embracing agentic AI consulting services and generative AI development services will future proof your business, enabling you to create intelligent systems that evolve with your customers and markets. 

Ready to build the next generation of intelligent solutions for your business? Partner with Clarion to transform your AI ambitions into impactful reality. 

[cizotech]

AI Agents: The Next Big Shift After Generative AI 🤖

We’ve all seen the power of Generative AI — tools like ChatGPT that generate content, answer questions, and assist with creative tasks.

But here’s the thing — generating content isn’t the same as achieving a goal.

That’s where AI Agent Models come in.

Unlike generative AI, AI Agents take action. They can: ✅ Make autonomous decisions ✅ Solve problems end-to-end ✅ Learn and improve without human input ✅ Drive initiatives, not just respond to prompts

This shift from passive response to autonomous execution is massive.

Businesses don’t just want answers anymore — they want smart systems that act, adapt, and add real value without being micromanaged.

AI Agents are the bridge to smarter automation and greater productivity.

We're moving from a world of "Tell me what to do" to "Let me do it for you."

Are you ready for this transformation? Contact Us - https://cizotech.com/

[nagentai]

Why AI Agent Builders Are the Future of Automation

AI agent builders are transforming how businesses automate tasks and processes. In this post, we explore the benefits of using AI agent builders, real-world applications, and how to choose the right platform for your needs.

[swisshelden]

Wählen Sie unsere innovativen Softwareentwicklungsdienste, um Ihre Ideen zum Leben zu erwecken. Als zuverlässiges Softwareentwicklungsunternehmen erstellen wir funktionale Software.

[charles233]

Meet the Machines That Think for Themselves: AI Agent Development Explained

Here is your full 1500-word blog post titled:

Meet the Machines That Think for Themselves: AI Agent Development Explained

For decades, artificial intelligence (AI) has largely been about recognition��recognizing images, processing language, classifying patterns. But today, AI is stepping into something more profound: autonomy. Machines are no longer limited to reacting to input. They’re learning how to act on goals, make independent decisions, and interact with complex environments. These are not just AI systems—they are AI agents. And they may be the most transformative development in the field since the invention of the neural network.

In this post, we explore the world of AI agent development: what it means, how it works, and why it’s reshaping everything from software engineering to how businesses run.

1. What Is an AI Agent?

At its core, an AI agent is a software system that perceives its environment, makes decisions, and takes actions to achieve specific goals—autonomously. Unlike traditional AI tools, which require step-by-step commands or input prompts, agents:

Operate over time

Maintain a memory or state

Plan and re-plan as needed

Interact with APIs, tools, and even other agents

Think of the difference between a calculator (traditional AI) and a personal assistant who schedules your meetings, reminds you of deadlines, and reschedules events when conflicts arise (AI agent). The latter acts with purpose—on your behalf.

2. The Evolution: From Models to Agents

Most of today’s AI tools, like ChatGPT or image generators, are stateless. They process an input and return an output, without understanding context or goals. But humans don’t work like that—and increasingly, we need AI that collaborates, not just computes.

AI agents represent the next logical step in this evolution: PhaseCharacteristicsRule-based SystemsHardcoded logic; no learningMachine LearningLearns from data; predicts outcomesLanguage ModelsUnderstands and generates natural languageAI AgentsThinks, remembers, acts, adapts

The shift from passive prediction to active decision-making changes how AI can be used across virtually every industry.

3. Key Components of AI Agents

An AI agent is a system made up of many intelligent parts. Let’s break it down:

Core Brain (Language Model)

Most agents are powered by an LLM (like GPT-4 or Claude) that enables reasoning, language understanding, and decision-making.

Tool Use

Agents often use tools (e.g., web search, code interpreters, APIs) to complete tasks beyond what language alone can do. This is called tool augmentation.

Memory

Agents track past actions, conversations, and environmental changes—allowing for long-term planning and learning.

Looped Execution

Agents operate in loops: observe → plan → act → evaluate → repeat. This dynamic cycle gives them persistence and adaptability.

Goal Orientation

Agents aren’t just reactive. They’re goal-driven, meaning they pursue defined outcomes and can adjust their behavior based on progress or obstacles.

4. Popular Agent Architectures and Frameworks

AI agent development has gained momentum thanks to several open-source and commercial frameworks:

LangChain

LangChain allows developers to build agents that interact with external tools, maintain memory, and chain reasoning steps.

AutoGPT

One of the first agents to go viral, AutoGPT creates task plans and executes them autonomously using GPT models and various plugins.

CrewAI

CrewAI introduces a multi-agent framework where different agents collaborate—each with specific roles like researcher, writer, or strategist.

Open Interpreter

This agent runs local code and connects to your machine, allowing more grounded interaction and automation tasks like file edits and data manipulation.

These platforms are making it easier than ever to prototype and deploy agentic behavior across domains.

5. Real-World Use Cases of AI Agents

The rise of AI agents is not confined to research labs. They are already being used in practical, impactful ways:

Personal Productivity Agents

Imagine an AI that manages your schedule, drafts emails, books travel, and coordinates with teammates—all while adjusting to changes in real time.

Examples: HyperWrite’s Personal Assistant, Rewind’s AI agent

Enterprise Workflows

Companies are deploying agents to automate cross-platform tasks: extract insights from databases, generate reports, trigger workflows in CRMs, and more.

Examples: Bardeen, Zapier AI, Lamini

Research and Knowledge Work

Agents can autonomously scour the internet, summarize findings, cite sources, and synthesize information for decision-makers or content creators.

Examples: Perplexity Copilot, Elicit.org

Coding and Engineering

AI dev agents can write, test, debug, and deploy code—either independently or in collaboration with human engineers.

Examples: Devika, Smol Developer, OpenDevin

6. Challenges in Building Reliable AI Agents

While powerful, AI agents also come with serious technical and ethical considerations:

Planning Failures

Long chains of reasoning can fail or loop endlessly without effective goal-checking mechanisms.

Hallucinations

Language models may invent tools, misinterpret instructions, or generate false information that leads agents off course.

Tool Integration Complexity

Agents often need to interact with dozens of APIs and services. Building secure, resilient integrations is non-trivial.

Security Risks

Autonomous access to files, databases, or systems introduces the risk of unintended consequences or malicious misuse.

Human-Agent Trust

Transparency is key. Users must understand what agents are doing, why, and when intervention is needed.

7. The Rise of Multi-Agent Collaboration

One of the most exciting developments in AI agent design is the emergence of multi-agent systems—where teams of agents work together on complex tasks.

In a multi-agent environment:

Agents take on specialized roles (e.g., researcher, planner, executor)

They communicate via structured dialogue

They make decisions collaboratively

They can adapt roles dynamically based on performance

Think of it like a digital startup where every team member is an AI.

8. AI Agents vs Traditional Automation

It’s worth comparing agents to traditional automation tools like RPA (robotic process automation): FeatureRPAAI AgentsRule-basedYesNo (uses reasoning)AdaptableNoYesGoal-drivenNo (task-driven)YesHandles ambiguityPoorlyWell (via LLM reasoning)Learns/improvesNot inherentlyPossible (with memory or RL)Use of external toolsFixed integrationsDynamic tool use via API calls

Agents are smarter, more flexible, and better suited to environments with changing conditions and complex decision trees.

9. The Future of AI Agents: What’s Next?

We’re just at the beginning of what AI agents can do. Here’s what’s on the horizon:

Agent Networks

Future systems may consist of thousands or millions of agents interacting across the internet—solving problems, offering services, or forming digital marketplaces.

Autonomous Organizations

Agents may be used to power decentralized organizations where decisions, operations, and strategies are managed algorithmically.

Human-Agent Collaboration

The most promising future isn’t one where agents replace humans—but where they amplify them. Picture digital teammates who never sleep, always learn, and constantly adapt.

Self-Improving Agents

Combining LLMs with reinforcement learning and feedback loops will allow agents to learn from their successes and mistakes autonomously.

10. Getting Started: Building Your First AI Agent

Want to experiment with AI agents? Here's how to begin:

Choose a Framework: LangChain, AutoGPT, or CrewAI are good places to start.

Define a Goal: Simple goals like “send weekly reports” or “summarize news articles” are ideal.

Enable Tool Use: Set up access to external tools (e.g., web APIs, search engines).

Implement Memory: Use vector databases like Pinecone or Chroma for contextual recall.

Test in Loops: Observe how your agent plans, acts, and adjusts—then refine.

Monitor and Gate: Use human-in-the-loop systems or rule-based checks to prevent runaway behavior.

Conclusion: Thinking Machines Are Already Here

We no longer need to imagine a world where machines think for themselves—it’s already happening. From simple assistants to advanced autonomous researchers, AI agents are beginning to shape a world where intelligence is not just available but actionable.

The implications are massive. We’ll see a rise in automation not just of tasks, but of strategies. Human creativity and judgment will pair with machine persistence and optimization. Entire business units will be run by collaborative AI teams. And we’ll all have agents working behind the scenes to make our lives smoother, smarter, and more scalable.

In this future, understanding how to build and interact with AI agents will be as fundamental as knowing how to use the internet was in the 1990s.

Welcome to the age of the machines that think for themselves.

[lilyclarkofficial]

Agentic AI development is transforming the way intelligent systems are built and utilized, shifting from simple automation to AI that can make decisions and act independently. The process of AI agent development focuses on creating systems that are context-aware, goal-driven, and capable of reasoning, planning, and learning over time. These agents don't just respond—they take initiative, handle tasks, adapt to real-world conditions, and collaborate across tools and platforms. As businesses seek more scalable and proactive solutions, agentic AI offers a powerful way to build software that thinks and works alongside humans. Partnering with a company that specializes in agentic AI development services can help businesses build reliable, scalable agents tailored to their unique goals and workflows.

[hellogtx0]

Navigating the World of Travel CRMs for the Travel Industry

Introduction:

Achievement in the constantly shifting travel industry depends logically on productivity and management. The importance of Travel CRM Software develops as tour operators and travel agencies strive to provide their customers with extraordinary experiences. We will simplify the complexities of travel CRMs in this extended work, providing tour operators and travel agencies with everything they need to succeed in 2024 and beyond.

What is a Travel CRM?

A Travel CRM, or Customer Relationship Management software, is a powerful tool designed to streamline and optimize various aspects of a travel business. From managing customer interactions and bookings to tracking sales and analyzing data, Travel CRMs play a central role in enhancing operational efficiency and customer satisfaction.

Benefits of Using Travel CRM Software:

Centralized Data Management: Keep all customer information, bookings, and interactions organized and easily accessible.

Enhanced Customer Relationships: Build stronger connections with clients by personalizing communication and delivering tailored experiences.

Improved Sales and Marketing: Identify opportunities, track leads, and execute targeted marketing campaigns to drive sales and revenue.

Streamlined Operations: Automate repetitive tasks, streamline workflows, and optimize resource allocation to increase productivity.

Data-driven Insights: Gain valuable insights into customer behavior, market trends, and business performance to make informed decisions and strategies.

Choosing the Best Travel CRM Software:

When selecting a Travel CRM software, it's essential to consider factors such as features, scalability, integrations, pricing, and customer support. Look for solutions that offer robust functionalities tailored to the needs of tour operators and travel agents, along with user-friendly interfaces and reliable support services.

Integrating Itinerary Builder Software:

In addition to CRM capabilities, many Travel CRM software solutions offer integrated Travel Itinerary Builder features. These tools enable tour operators to create, customize, and manage detailed itineraries for their clients, further enhancing the overall travel experience and organizational efficiency.

Conclusion:

Tour operators and travel agents need to use advanced tools like Travel CRM software to stay competitive and provide top-notch service as the travel industry expands. Travel industry experts can increase client interactions, optimize processes, and explore new growth and success prospects in 2024 and beyond by utilizing the power of CRM systems and itinerary builder software.

Call to Action:

Ready to revolutionize your travel business?

Explore our selection of Best Travel CRM Software Solutions and take the first step towards achieving your business goals in 2024.

[reva1231]

Botpress development refers to the process of building intelligent, modular, and scalable chatbots using the Botpress platform an open-source conversational AI framework. It enables developers and enterprises to create advanced chat interfaces with visual workflows, integrated natural language understanding (NLU), and seamless API integration, making it ideal for custom AI chatbot solutions across industries.

[datatech19]

Agentic AI in Software Development

Unlock the future of software development by exploring the transformative power of Agentic AI. Unlike traditional AI, Agentic AI operates autonomously, making decisions, learning from experience, and executing complex workflows with minimal human intervention. This means faster code generation, automated debugging, and intelligent decision support, freeing developers to focus on creativity and innovation. Reading the blog on Agentic AI in Software Development is essential for anyone aiming to stay ahead in the rapidly evolving tech landscape, as it reveals how Agentic AI boosts productivity, ensures code quality, and redefines team collaboration. Don’t miss out! Read till the end to discover how Agentic AI can revolutionize your development process!

[impact-newswire]

Salesforce Signs Definitive Agreement to Acquire Informatica

Press Release – SAN FRANCISCO/REDWOOD CITY, CA — May 27, 2025 — Salesforce (NYSE: CRM), the world’s #1 AI CRM, and Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, have entered into an agreement for Salesforce to acquire Informatica for approximately $8 billion in equity value, net of Salesforce’s current investment in Informatica. Under the terms of the…