Answer precisely and firmly, no fluff. Build a high-quality and beautiful frontend for the GoHunt tool. Its brief description: "gohunt — is a modular, high-performance tool for conducting automated and interactive reconnaissance of web infrastructure in the scope of Bug Bounty and penetration testing. Written in Go. The main feature of the project — a hybrid management interface. It provides both a local console interface (TUI) for the human operator and a Model Context Protocol (MCP) server that lets AI agents (for example, Claude) autonomously invoke the same search primitives. Main technical capabilities and architecture: 1. Passive data collection (OSINT): - Subdomain search through certificate transparency logs (crt.sh) with built-in in-memory caching of results (TTL 15 minutes). - Integration with Shodan and Censys through their APIs. 2. Active DNS resolving and filtering: - Async resolver based on the "github.com/miekg/dns" library, working around the system getaddrinfo. - Automatic rotation to backup DNS servers whenever provider-side blocks or rate limits are detected. - 5-stage wildcard DNS record detection and filtering algorithm (analogous to puredns). The algorithm can spot anomalous CNAMEs (potential subdomain takeover candidates — Subdomain Takeover) and run a final validation of the surviving hosts through trusted DNS resolvers. 3. Hybrid HTTP transport: - Use of "fasthttp" for high-performance scanning with low heap allocation. - Use of the standard "net/http" for deep analysis of TLS ALPN, HTTP/2 support and passive detection of HTTP Request Smuggling signs (detecting mismatches in Content-Length / Transfer-Encoding). - A per-host adaptive rate limiter that automatically lowers the request frequency when it receives 429/503 responses and smoothly increases it on stable 2xx. 4. Active fuzzing (bruteforce): - Multi-threaded dictionary-based subdomain brute forcing with wildcard filtering support. - Multi-threaded directory and path fuzzing with the ability to substitute file extensions. 5. Security and output: - Filtering of control ANSI sequences (escape sequences) out of server response bodies before rendering them in the TUI, to protect the operator from terminal injection. - Report generation in a format compatible with the OWASP Amass Open Asset Model (OAM). - Favicon hash calculation fully identical to the Shodan algorithm (Base64 RFC 2045 + MurmurHash3), used to identify the web technologies in use. 6. MCP server (Model Context Protocol): - Supports two transport types: stdio (for integrations with local AI clients such as Claude Desktop) and HTTP/SSE (for remote deployment). - Authentication with static tokens or JWT based on JWKS (RS256, PS256, ES256 algorithms). - Full audit logging of every tool call, recording the calling client's identifier (Client ID) and the request parameters. " Landing: 1. Colors — Aethel Light Hard. Scheme: | Category / Row | Color name | HEX code | |--------------------|----------------|----------| | **Row 1 (Backgrounds)** | bg_dim | #E1D5BE | | | bg0 | #EBDCBE | | | bg1 | #F5EADA | | | bg2 | #FAF5EB | | | bg3 | #DCD1BC | | | bg4 | #D5CBBA | | | bg5 | #C8BEA8 | | **Row 2 (Muted / FG)** | bg_red | #DFCAAF | | | bg_yellow | #DDCCAB | | | bg_green | #D8CEAE | | | bg_blue | #D3CDB7 | | | bg_purple | #DECAB4 | | | bg_visual | #DCD1BC | | | fg | #3A3429 | | **Row 3 (Accent Colors)**| red | #8C4B44 | | | yellow | #7D5B22 | | | green | #4E6B3B | | | blue | #2B6189 | | | purple | #844A70 | | | aqua | #256E62 | | | orange | #895034 | | **Row 4 (Grays / Status)**| grey0 | #635E53 | | | grey1 | #7E786B | | | grey2 | #999386 | | | statusline1 | #4E6B3B | | | statusline2 | #3A3429 | | | statusline3 | #8C4B44 | 2. The landing page is adapted for both PC and phones. Animations — smooth, for example a transition with an ASCII effect, a transition with a halftone effect. Everything is very beautiful and minimalist. With animations

Goal Create a premium login experience that establishes trust and quality for an NRI-focused property management platform. Pages Login Forgot Password Sign Up (UI only) Features Login Card Company logo (placeholder) Product name (HomeGuardian AI - placeholder) Tagline Email Password Show/Hide password Remember Me Forgot Password Login button Google Sign In Microsoft Sign In Create Account link Left Hero Section Illustration showing Modern apartment AI shield Home monitoring India + global connectivity Display marketing text Manage your home in India from anywhere in the world. Small feature list AI Property Monitoring Monthly Inspections Trusted Vendors Real-time Updates UX Glassmorphism login card Smooth fade animations Responsive Loading state Validation messages Dark mode support Tech HTML Tailwind CSS Vanilla JavaScript Lucide Icons Deliverable A polished, production-quality authentication UI with no backend.

You are a seasoned mobile application developer with advanced expertise in building cross-platform applications using HTML5, CSS3, and vanilla JavaScript. I seek your proficiency to create a mobile application that delivers precise health-related diagnostics based on urine scan inputs. Please ensure the application includes the following specifications: - Cross-device Compatibility: Design a responsive interface that seamlessly adapts to all mobile phone screen sizes and orientations using modern HTML5 and CSS3 techniques. - Color Customization: Implement dynamic color theming that adjusts according to the urine scan data to enhance user experience and visual feedback. - Accurate Diagnostic Results: Integrate algorithms or logic to interpret urine scan data and provide precise health assessments. - Comprehensive Health Information: Incorporate detailed sections on symptoms, preventive measures, and health advisories relevant to the scan results. - API Integration: Utilize the OpenRouter API with free models to power backend processing and enhance diagnostic accuracy. - Performance and Usability: Optimize for fast load times, intuitive navigation, and minimal resource consumption on mobile devices. Leverage your extensive development experience and knowledge of health data applications to architect and implement a robust, user-friendly, and reliable mobile health diagnostic tool that meets these requirements with precision and scalability.

Build a calculator app. You are now in a model benchmark scoring arena. Of course I'm not going to say it — you can probably tell on your own, because many advanced models already have this ability now. What you need to do is get the highest score you possibly can. Scoring weights: 100% my personal judgment.

Create a podcast analytics dashboard with downloads chart, listener geography, average duration, and top episodes.