Claude on SoloSoft

Higgsfield AI MCP Guide: Generate Images & Video in Claude (2026)

Sat, 02 May 2026 00:00:00 +0000

Higgsfield AI released its MCP server on April 30, 2026, becoming the first platform to bring cinematic-grade image and video generation directly into Claude conversations. Instead of juggling between ChatGPT for prompt research, Midjourney for image generation, and Runway for video production, you can now do everything inside a single chat interface — research, refine prompts, generate images, produce videos, and manage character consistency, all through natural language.

This guide covers everything you need to know about the Higgsfield AI MCP server: what it does, how to install it, every tool available, the pricing model, and practical workflows that turn Claude into a complete visual content production studio.

Screenshot to Code: Convert Screenshots into Clean UI Code with AI

Fri, 01 May 2026 00:00:00 +0000

Every developer has experienced the frustration of translating a design mockup into code. The pixels look right in Figma, but translating visual layouts into responsive HTML, maintaining design consistency across breakpoints, and ensuring proper spacing and alignment can consume hours of painstaking work. Screenshot to Code, created by developer Abe (abi), tackles this problem with a deceptively simple premise: what if you could just show the design to an AI and get working code back?

With over 72,000 GitHub stars and a massive community of users, Screenshot to Code has become the most popular open-source tool in the “design-to-code” space. The workflow is as straightforward as it sounds: upload a screenshot, a design mockup, or a photograph of a UI, select your target output framework, and the AI generates the corresponding frontend code.

System Prompts Leaks: The Viral Open-Source Collection of AI System Instructions

Fri, 01 May 2026 00:00:00 +0000

The system prompt – the hidden set of instructions that defines an AI chatbot’s behavior, personality, and constraints – has become one of the most guarded secrets in the AI industry. Companies invest heavily in crafting these prompts to shape model behavior, enforce safety guidelines, and create distinctive product experiences. System Prompts Leaks pulls back the curtain on these hidden instructions, offering an open-source collection of extracted system prompts from virtually every major AI chatbot.

The repository has gone viral within the AI community, accumulating thousands of stars and attracting contributors who use various extraction techniques to reveal the system prompts of ChatGPT, Claude, Gemini, Grok, DeepSeek, Copilot, Perplexity, and dozens of other AI assistants. Each entry provides the raw system prompt text, the model it was extracted from, the extraction date, and notes on accuracy confidence.

CRAFT Framework Guide for Structured AI Workflows

Tue, 31 Mar 2026 00:00:00 +0000

Most teams still use AI in a fragile way. Someone opens ChatGPT, Claude, or a coding assistant, pastes a task, gets a decent answer, and then starts over the next day because the context is gone. That works for one-off prompts, but it breaks down when a project stretches across weeks, when multiple people need to reuse the same AI workflow, or when the output has to follow a repeatable standard. CRAFT Framework exists to address that gap. Rather than introducing a new model, it introduces structure around model usage: project variables, recipes, comments, personas, and handoff files that preserve continuity between sessions. Based on the public GitHub repository, official documentation, and related explanatory materials, CRAFT is best understood as a framework for turning AI conversations into durable operating systems for ongoing work. That makes it relevant not just to developers, but also to content teams, operators, and consultants who rely on AI repeatedly and need more than a clever prompt. In 2026, as AI tools increasingly become part of daily production workflows, CRAFT is interesting because it focuses on the layer many teams still lack: process discipline.

Apple Opens Siri to Rival AIs in iOS 27

Mon, 01 Jan 0001 00:00:00 +0000

For the past year, the AI assistant race on iPhones has had only one official challenger: OpenAI’s ChatGPT. When Apple unveiled its partnership with OpenAI at WWDC 2024, it was the clearest signal that the world’s most valuable company had chosen a single AI horse to bet on. That era may be ending sooner than anyone expected.

According to a March 26, 2026 report by Bloomberg, Apple is planning a fundamental shift in how Siri works. In iOS 27, iPadOS 27, and macOS 27, Siri is set to transform from a single-model assistant into a multi-model routing layer — a gateway that can direct user queries to Google Gemini, Anthropic Claude, OpenAI ChatGPT, or any other AI service that builds an approved Extension.

Automating Daily Business Reports by Integrating GA4 and Stripe Data with OpenCl

Mon, 01 Jan 0001 00:00:00 +0000

Why Is “One-Click Deployment” Rewriting the Entry Rules for Enterprise Software?

The answer is straightforward: it lowers the technical barrier from a “capability issue” to a “willingness issue,” allowing resource-limited small and medium enterprises to immediately participate in the AI-driven automation race. In the past, deploying an internal system that integrates multiple APIs and AI models meant requiring cloud architecture knowledge, containerization technology, and ongoing maintenance investment. Through its partnership with Hostinger, OpenClaw simplifies this process to a single click. The industrial significance behind this is that the role of cloud service providers (like Hostinger) is evolving from “infrastructure providers” to “solution distribution platforms.” If this model becomes mainstream, it will significantly accelerate the penetration of enterprise-level AI applications while potentially fostering more diverse innovation at the application layer, as developers can focus more on functionality itself rather than deployment challenges.

Google's $40B Bet on Anthropic: The End of Clean AI Rivalry

Mon, 01 Jan 0001 00:00:00 +0000

On April 24, 2026, Google confirmed it would invest up to $40 billion in Anthropic — the AI safety company whose Claude models directly compete with Google’s own Gemini family. The deal starts with a $10 billion immediate commitment in cash and compute at a $350 billion Anthropic valuation, with the remaining tranches tied to milestones. Coming just days before Alphabet’s Q1 2026 earnings call, the announcement landed as both a financial statement and a strategic declaration: Google is no longer willing to bet its AI future on Gemini alone.

This is not a minor portfolio move. Google’s prior Anthropic investment exceeded $3 billion, securing roughly a 14% stake since 2023. The new commitment represents a roughly tenfold increase, bringing Google’s total commitment to over $43 billion in a company founded in 2021 by former OpenAI researchers. To put that in context, Google’s entire 2014 acquisition of DeepMind — the deal that gave Google its original frontier AI capabilities — cost approximately $500 million. Anthropic’s implied valuation is now 700 times that figure.