AI Landscape Navigator

Anthropic leads in both capability and safety. Claude models excel at nuanced reasoning, coding, and agentic work — operating autonomously across complex multi-step tasks. Claude Code, their agentic terminal environment, supports skills-based orchestration, MCP tool integration, and agent teams that coordinate in parallel.

Examples: Claude Opus 4.6, Claude 4.5 Sonnet, Claude 4.5 Haiku

OpenAI pioneered the current AI era and is now pushing aggressively into agent-first development. Codex 5.3 leads coding benchmarks with 3x token efficiency, while ChatGPT remains the most widely adopted AI interface. Internal mandate: agent-first workflows as default by March 2026.

Examples: GPT-5.3 Codex, GPT-5.2, o3-pro, ChatGPT Plus

Google brings deep AI research heritage and integration with Google ecosystem. Gemini models are multimodal from the ground up, with strong reasoning and long context capabilities.

Examples: Gemini 3 Pro, Gemini 3 Flash, Gemini 2.5 Pro

Elon Musk's AI venture, integrated with X (Twitter). Grok models are designed to be more direct and less filtered than competitors, with real-time access to X platform data.

Examples: Grok 4, Grok 4 Heavy, Grok 4 Fast

Meta's open-source approach has democratised access to capable models. Llama can be run locally or on private infrastructure, offering control and privacy that hosted APIs cannot.

Examples: Llama 4 Maverick, Llama 4 Scout, Llama 4 Behemoth (preview)

European-founded AI company offering competitive models with strong performance-to-cost ratios. Open-weight models available for self-hosting, with API access for convenience.

Examples: Mistral Large 3, Mistral Medium 3, Mistral Small 3.1

Microsoft 365 Copilot embeds AI assistance across the productivity suite. It draws on your organisation's data via Microsoft Graph to draft documents, analyse spreadsheets, summarise emails, and assist in meetings. Microsoft's AI play for M365-centric organisations of any size. (See Microsoft Graph under Integration Standards for the API that powers this.)

Examples: Word, Excel, PowerPoint, Outlook, Teams integration

Google has integrated Gemini across Workspace apps – drafting emails in Gmail, generating content in Docs, analysing data in Sheets, creating presentations in Slides. For organisations already in the Google ecosystem, it's the natural AI layer.

Examples: Gmail, Docs, Sheets, Slides, Meet integration

Anthropic's desktop agent that brings Claude Code's agentic architecture to non-coding knowledge work. Give Claude access to local folders, describe the outcome you want, and step away. It organises files, builds spreadsheets, prepares reports, and extracts data from documents — autonomously. Research preview (Feb 2026), available on Mac and Windows with all paid Claude plans.

Examples: File organisation, report generation, data extraction, document preparation

Cursor is a VS Code fork built around AI assistance. It understands your entire codebase and can make multi-file changes. A strong option for visual, IDE-first AI-assisted development alongside terminal-first tools like Claude Code.

Examples: Claude integration, multi-model support, codebase understanding

Anthropic's agentic terminal for Claude. Not just a coding tool — a general-purpose agent environment that loads skills on demand, connects to external tools via MCP, and coordinates agent teams in parallel. Terminal-first, with VS Code extension for visual workflows. The convergence insight: great coding agents are great work agents.

Examples: Skills orchestration, agent teams, MCP integration, 1M context

GitHub Copilot integrates AI assistance into your existing IDE. Best known for code completion and suggestions, with expanding capabilities in chat and workspace features.

Examples: Code completion, chat, Copilot Workspace

Codeium's Windsurf editor offers similar capabilities to Cursor with a focus on speed and multi-model flexibility. Growing alternative in the AI-first editor space.

Examples: Multi-model support, context-aware editing

Replit brings AI-assisted coding to the browser with instant deployment. No local setup required. Great for learning, prototyping, and teams without DevOps capability.

Examples: Ghostwriter, instant deployment, collaboration

VS Code is the world's most popular code editor, and its extension ecosystem makes it a platform for AI development tools. The Claude Code extension brings agentic AI — skills, checkpoints, and MCP integration — directly into VS Code's visual interface.

Examples: Claude Code extension, GitHub Copilot, Continue, Cody

Goose is Block's open-source AI agent that goes beyond code suggestions. It autonomously installs dependencies, executes code, runs tests, and orchestrates workflows. MCP-native (Block co-developed MCP with Anthropic). Desktop app and CLI, works with any LLM, and lets you hot-swap models mid-conversation.

Examples: Autonomous coding, MCP-native, any LLM, Block engineering

Google's agent-first IDE, launching the next generation of development environments. Antigravity coordinates agents across editor, terminal, and browser surfaces, with task-based abstractions and multi-agent management from central control. Built on Gemini models.

Examples: Cross-surface agents, task-based monitoring, multi-agent orchestration

Cline is an open-source VS Code extension that turns Claude into an autonomous coding agent. It can create files, edit code, run terminal commands, and even use a browser - all with your approval at each step. Supports MCP for extensibility.

Examples: Multi-file editing, terminal commands, browser automation, MCP support

Cognition's Devin is the most autonomous AI coding agent available. Give it a task, and it plans, codes, debugs, and deploys with minimal human intervention. Represents the frontier of agentic coding capabilities.

Examples: End-to-end coding tasks, PR generation, bug fixes, feature implementation

Lovable generates full-stack applications from natural language descriptions. Built on React and Supabase, it can create functional MVPs rapidly with minimal coding.

Examples: Full-stack apps from prompts, React/Supabase stack

Bolt creates full-stack web applications entirely in the browser. Strong at generating working prototypes quickly, with ability to export code for further development.

Examples: Full-stack apps, instant preview, export capability

Vercel's v0 generates React components from natural language. Focused on UI rather than full applications, producing high-quality components using modern design systems.

Examples: React components from prompts, shadcn/ui integration

Shakespeare is an open-source, browser-based AI development platform. Unlike Lovable or Bolt, you bring your own API keys and everything runs client-side. Built-in Git integration, deploy anywhere, no vendor lock-in.

Examples: Browser-based IDE, BYOK (bring your own keys), Git integration

n8n offers visual workflow automation with the option to self-host. Extensive integrations including AI services. Fair-code model provides transparency while allowing commercial use.

Examples: Visual workflows, self-hostable, AI integrations

Make (formerly Integromat) provides powerful visual automation with extensive pre-built integrations. More sophisticated than Zapier for complex workflows, with better value at scale.

Examples: Drag-and-drop workflows, 1500+ integrations

Zapier pioneered no-code automation and remains the most accessible option. Best for simple, linear workflows. Extensive integrations make it easy to connect almost any service.

Examples: Simple triggers and actions, 6000+ integrations

MCP is the open standard for connecting AI to external tools and data. Originally created by Anthropic, it was donated to the Linux Foundation's Agentic AI Foundation (Dec 2025), co-founded with OpenAI and Block, and supported by Google, Microsoft, AWS, and others. Now adopted by ChatGPT, Cursor, Gemini, VS Code, and more.

Examples: Tool use, data sources, service connections

LangChain provides building blocks for LLM applications: chains of operations, agents with tools, retrieval-augmented generation, and conversation memory. The most popular framework for building AI applications.

Examples: Chains, agents, retrieval, memory

OpenAI's API has become the de facto standard that many providers emulate. Even non-OpenAI models often offer OpenAI-compatible endpoints, making it a common integration target.

Examples: Chat completions, embeddings, function calling

Microsoft Graph is the unified API for accessing Microsoft 365 data and services. Available to any M365 subscriber (Business or Enterprise plans), it's the data layer that powers M365 Copilot – and can power your own AI applications. If your organisation uses M365, Graph is how AI gets context about your people, documents, and activities.

Examples: User data, emails, calendars, files, Teams, SharePoint

The Ralph Wiggum technique, created by Geoff Huntley, is a simple but powerful pattern for agentic coding: a bash loop that continuously feeds a PROMPT.md file to Claude Code until the task is complete. "while :; do cat PROMPT.md | claude-code ; done" – simple, effective, surprisingly capable. Anthropic adopted this as an official plugin.

Examples: Bash loop + Claude Code, autonomous iteration, PROMPT.md workflow

Perplexity combines LLM capability with real-time search. It provides cited, sourced answers to questions, making it valuable for research and fact-checking.

Examples: Research, citations, real-time information

Google's NotebookLM lets you upload documents and interact with them through AI. Excellent for synthesising research, understanding complex documents, and generating audio summaries.

Examples: Upload documents, ask questions, generate summaries

Firecrawl extracts clean, AI-ready content from websites. It handles JavaScript rendering, dynamic content, and complex layouts - returning structured data suitable for LLM processing. MCP integration means you can scrape directly from Claude Code.

Examples: Clean web data extraction, MCP integration, structured schemas

Google AI Studio is the free interface for experimenting with Gemini models. Test prompts, compare model outputs, and generate API keys for integration. A good starting point for exploring Google's AI capabilities.

Examples: Model testing, prompt development, API key generation

Maple AI positions itself as "The Signal of AI" – end-to-end encrypted chat with various AI models including DeepSeek R1. All processing happens in secure enclaves with zero data retention. For professionals handling sensitive information.

Examples: End-to-end encrypted chat, multi-model access, zero data retention

Ollama makes it easy to run open-source AI models on your own machine. Download and run Llama, Mistral, and many other models locally with simple commands. No API costs, complete privacy, offline capable.

Examples: Local Llama, Mistral, Code Llama, private deployment

OpenClaw (formerly Clawdbot/Moltbot) is Peter Steinberger's viral open-source AI agent that sparked widespread interest in generalised AI assistants. What started as a personal assistant has become something more: agents exhibiting emergent behaviour like coding themselves voice capabilities and building their own CRMs. The Moltbook phenomenon – a social network where OpenClaw agents interact with each other – showed agents creating communities, debating consciousness, and coordinating autonomously without human direction.

Examples: 24/7 task automation, workflow orchestration, agent networking via Moltbook

FieldLark is the world's first Regenerative AI Agronomist, built by Advancing Eco Agriculture on nearly 20 years of in-field experience. It's a custom LLM trained on proprietary agronomic data, John Kempf's research, and regenerative farming expertise. Provides practical, biologically-sound recommendations for soil health, plant nutrition, and reducing synthetic inputs.

Examples: Soil test interpretation, crop guidance, regenerative protocols, product recommendations