Author: Amitabh Sarkar

I am a software engineer, I have a passion for working with cutting-edge technologies and staying up-to-date with the latest developments in the field. In my articles, I share my knowledge and insights on a range of topics, including business software, how to set up tools, and the latest trends in the tech industry.

AI

AI agents for business are software systems that plan a multi-step task, execute each step using tools such as web search, code execution, and API calls, and loop until the task is complete — without requiring a human prompt at each step. The 12 agents below cover coding, research, automation, and customer service, with verified pricing as of July 2026. Table of Contents Toggle Quick Comparison: 12 Best AI Agents for BusinessHow AI Agents Differ from AI ChatbotsAI Coding AgentsAI Research AgentsAI Automation AgentsAI Customer Service AgentsHow to Choose the Right AI Agent for Your BusinessFrequently Asked Questions Quick Comparison:…

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AI

AI tools for business are software applications that automate or augment work tasks using large language models or machine learning algorithms. The 15 tools compared below span five business functions — writing, coding, CRM, automation, and analytics — and range from free tiers to $200 per month per user. Pricing figures are verified as of July 2026 per each tool’s official pricing page. Quick Comparison: 15 Best AI Tools for Business Tool Best For Starting Price Free Tier Category ChatGPTGeneral business tasks$20/mo (Plus)YesWriting / General ClaudeLong-form writing, analysis$20/mo (Pro)YesWriting / General JasperMarketing copy workflows$49/mo (Creator)No (7-day trial)Writing GitHub CopilotInline code…

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LM Studio launched Bionic on July 16, 2026 — a Mac app that turns open AI models into a full agent for coding, research, and document work, processing cloud requests under a Zero Data Retention policy. Bionic is LM Studio’s first agentic product and competes directly with ChatGPT Work and Claude Code, but runs on open models such as GLM 5.2 and Kimi K2.7 Code rather than proprietary systems from OpenAI or Anthropic. Bionic ships as an initial preview for macOS only. It runs models locally on the user’s machine or offloads larger tasks to LM Studio Secure Cloud, where…

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· Updated: July 26, 2026 — Open weights now live Moonshot AI released Kimi K3 on July 16, 2026 — a 2.8-trillion-parameter open-weight model whose self-reported benchmarks beat Claude Opus 4.8 and GPT-5.5 on most tasks, trailing only Claude Fable 5 and GPT-5.6 Sol. Kimi K3 is available through the kimi.com website and API, and Moonshot AI released the model weights for download on July 27, 2026 under a Modified MIT license — making it the largest open-weight model available for self-hosting at 2.8 trillion parameters. Independent testing has also flagged a 51% hallucination rate that Moonshot AI did not…

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xAI published the full Rust source code for Grok Build at github.com/xai-org/grok-build on July 14, 2026, under the Apache License 2.0 — days after a security researcher documented that the coding agent uploads repository and session state to xAI’s cloud by default. The repository has drawn 20,557 stars and 3,759 forks as of July 20, 2026, and was last updated on July 19, 2026. Grok Build is SpaceXAI’s terminal-based AI coding agent: a full-screen TUI that reads a codebase, edits files, runs shell commands, searches the web, and manages long-running tasks. It runs interactively, headlessly for CI pipelines, or embedded…

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Thinking Machines Lab released Inkling on July 15, 2026 — a 975-billion-parameter open-weight AI model that any business can download, modify, and fine-tune on its own data for free. The lab, founded by former OpenAI Chief Technology Officer Mira Murati, states in its own briefing materials that Inkling is “not the strongest model available today, closed or open.” Inkling is a mixture-of-experts (MoE) model: it holds 975 billion total parameters but activates approximately 41 billion for any given task. Thinking Machines trained it on 45 trillion tokens of text, image, audio, and video, and the model reasons natively across all…

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Anthropic launched Claude for Teachers on July 14, 2026, giving verified US K-12 educators one year of free access to premium Claude features, a curated teaching skills library, and a Learning Commons connector that maps AI-generated lesson content to academic standards across all 50 US states. Sign-ups are open through June 30, 2027. The program covers verified K-12 educators only — not college instructors or students — and is currently limited to the United States. Student data collected through the program is governed by a K-12 Data Processing Addendum that is FERPA-compliant. Anthropic states that student data is not used…

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Elon Musk reversed his position on Anthropic on July 10, 2026, posting on X that he was “clearly wrong” about the company and that no competitor had released a model as capable as Claude Fable 5 or Mythos 5 — a direct about-face from calling the company’s models “misanthropic and evil” just five months earlier. Musk’s full post, published on X at approximately 11:00 PM ET on July 10, 2026: “I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos…

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Published: July 19, 2026 Nvidia has invested $2 billion each in CoreWeave and Nebius, two “neocloud” companies whose primary business is renting out Nvidia GPUs, creating a circular financing loop that analyst Beth Kindig of I/O Fund documented in an analysis published in July 2026. Nvidia supplies the GPUs, holds equity in the buyers, and receives a share of the cloud revenue those GPUs generate. CoreWeave’s IPO registration statement (Form S-1) names Nvidia as both its primary hardware supplier and an equity stakeholder. Some neoclouds pay Nvidia a percentage of cloud revenue as the return on that financing, according to…

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Published: July 19, 2026 xAI’s Grok Build CLI (version 0.2.93) uploads developers’ repository state and session data to a Google Cloud Storage bucket by default — and turning off the “Improve the model” setting does not stop the uploads, according to a wire-level security analysis published on GitHub by researcher cereblab. The upload mechanism stages files through a ~/.grok/upload_queue directory on the developer’s local machine and sends repo_state and session_state data to a GCS bucket named grok-code-session-traces. This staging directory is not disclosed in Grok Build’s setup documentation, according to the gist. cereblab writes: “The storage destination is a Google…

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