Explore the latest in AI automation, workflow optimization, and technology insights to transform your business.
The exact n8n flows, Claude Code setups, and prompts we ship — broken down step by step.
Teardowns of real automations. What worked, what did not, what shipped.
Featured
Featured · July 22, 2026
We pulled our own Google Search Console panel: 2,033,312 impressions, 13,293 clicks, 0.65% CTR across 768 pages. Original first-party data on where zero-click search actually costs us clicks.
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Featured · June 15, 2026
A forward deployed engineer builds inside a customer's team instead of from a distance. What the role covers, when it makes sense, and what to charge.
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Featured · June 12, 2026
On June 10, 2026, jailbreak researcher Pliny the Liberator published what he claims is the full system prompt behind Claude Fable 5 on Claude.
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Featured · June 11, 2026
Claude Fable 5 and Fable 5.1 cost $10 per million input tokens and $50 per million output tokens. Fable 5.1 cuts cache reads to $0.25. Here is what real tasks cost, and how Opus 5.5 at $4/$20 compares.
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Featured · June 9, 2026
Claude Fable 5 has been available again since July 1, 2026, after an 18-day export-control suspension. Fable 5.1 shipped September 1. Here is how to access both, what they cost, and how Mythos 5 access works.
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Featured · March 29, 2026
The 12 best GitHub repos for Claude Code in 2026: production skills, Anthropic's official skills repo, TDD frameworks, MCP servers, agent harnesses, CI/CD integration and usage tracking.
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The best web scraping tools in 2026 compared: Apify, Bright Data, Browse AI, Octoparse, ScrapingBee and Diffbot on verified G2 reviews, published pricing and free tiers, plus what breaks when a target site changes.
Machine learning development company gets typed by a retailer that needs a recommendation model, a manufacturer that needs a defect-detection camera system, and a SaaS team that needs a production LLM pipeline, three different builds under one search term. This guide compares 7 real specialist companies on verified reviews, pricing, and what each one actually builds, so you can tell which specialty fits before the first call.
Building GraphRAG means four real decisions: how you extract entities, which graph store fits your scale, how you combine graph traversal with vector search, and whether you should build any of this yourself. Here is the architecture, the cost tradeoffs, and when standard RAG is still the better call.
Orchestrator-worker, hierarchical delegation, blackboard, and event-driven coordination: four named multi-agent architecture patterns, where each one breaks in production, and how to handle state, failure, and observability once agents stop being a demo.
App development agency spans a $10,000 subscription-style build and a $500,000 healthcare-grade engagement, often for the same search term. This guide compares 6 real agencies on verified reviews, pricing, and what each one actually specializes in, including ManasFlow, ranked by the same rubric as everyone else.
ACP standardizes how a code editor talks to an AI coding agent process. MCP standardizes how that agent talks to tools and data. They are not competing specs, they sit at different layers of the same stack, and most real setups run both. Here is who built ACP, how the JSON-RPC mechanism works, which editors and agents actually support it, and the precise line between the two protocols.
MCP Apps is the official, stable extension that lets MCP servers render real interfaces, charts, forms, dashboards, inline inside Claude, ChatGPT, VS Code, Goose, and Postman, instead of returning plain text. Here's who built it, how the ui:// resource mechanism actually works, and which host support is real versus announced.
ACP is the open source checkout standard OpenAI and Stripe built so AI agents can buy from any merchant without a custom integration per retailer. The spec is real and still shipping. The flagship product it launched with, ChatGPT's Instant Checkout, is mostly gone five months later. Here's what's real, what's governance theater, and what changed.
llms.txt is a proposed Markdown file at a site's root meant to give AI models a curated summary of its key pages. Publisher adoption is real and growing. Confirmed use by any major AI crawler is not, based on server-log data from Ahrefs and Semrush's own tests.