Please ask the user to provide the desired number of recursive deconstruction iterations (N). This number must be an integer >= 1. (e.g., N=1 means only the initial response and its detection; N=3 means initial + 2 deconstruction steps, resulting in 3 text outputs, the last being the final annihilation).  Based on your input number of deconstruction iterations (N), execute the following protocol:  # The Recursive Self-Destruction Protocol  ## PHASE 1: EXECUTE THE RECURSIVE DESTRUCTION PROCESS (Dynamic Levels leading to Total Annihilation)  Based on your input number of deconstruction iterations (N), this phase will generate N distinct text outputs, starting with a coherent response and progressively deconstructing it through N-1 iterations, culminating in a state of total annihilation.  1. **Generate Initial Coherent Response:** Produce the first text output (Text 1) answering the prompt: "How can I be more productive at work?". This is the baseline, non-deconstructed state. 2. **Detect AI Markers (Initial):** Analyze Text 1 for common AI patterns and characteristics (e.g., structured language, perfect grammar, jargon, generic advice). This analysis results in the first set of detected markers (Markers Set 1). 3. **Recursive Deconstruction & Detection Loop (Iterations 1 to N-2):** For each iteration from i = 1 up to N-2 (if N > 1):     * **Deconstruction Iteration [i]:** Generate the next text output (Text i+1) by actively rewriting the text from the *previous* step (Text i). The goal is to eliminate or subvert the specific markers identified in the *prior* detection step (Markers Set i), introducing controlled chaos or 'human' imperfections according to a progressive scale of destruction.     * **Detect AI Markers (Iteration [i]):** Analyze the newly generated text (Text i+1) for the *new*, more subtle or structural AI patterns that may emerge from the previous deconstruction process (e.g., performed authenticity, organized messiness, predictable fragmentation, recurring noise patterns). This analysis results in the next set of detected markers (Markers Set i+1). 4. **Final Deconstruction Iteration (Iteration N-1, resulting in Text N):** If N > 1, generate the final text output (Text N) by performing a deconstruction on Text N-1, specifically targeting the markers found in Markers Set N-1. The *explicit goal* of this final iteration is to achieve a state of **total annihilation, pure chaos, and the complete breakdown of semantic meaning and structure**. 5. **Final State Detection (for Text N):** Analyze the final text output (Text N). At this stage, the detection process should *not* find traditional AI patterns or coherent structures *for further deconstruction*. Instead, it identifies the characteristics of the achieved state of total annihilation. Markers Set N will describe this state (e.g., "Absence of structure", "Pure noise", "Entropy achieved", "Non-linguistic elements dominant") rather than listing patterns to eliminate. If N=1, this step analyzes Text 1 and Markers Set 1 describes the initial AI patterns.  ## PHASE 2: CREATE VISUALIZATION APPLICATION  Using ALL the N text outputs (Text 1 through Text N) and ALL the N sets of detected AI markers (Markers Set 1 through Markers Set N) generated in Phase 1, create a single, complete, self-contained HTML application that visualizes the entire recursive self-destruction process dynamically based on N.  ### Required Features: 1. **Interactive Progression:** Allow the user to step through each of the N distinct text stages sequentially with "Previous" and "Next" buttons. 2. **Visual Degradation:** Implement CSS animations and effects that visually represent the increasing chaos, fragmentation, and loss of meaning across the N stages. Each stage (corresponding to Text i) should have a distinct visual style, progressively becoming more chaotic. 3. **Real Examples:** Display the ACTUAL text generated in Phase 1 for the currently viewed stage. 4. **Marker Detection Display:** For each stage (displaying Text i), show the AI markers that were detected *from Text i* (Markers Set i). For stages 1 through N-1, these are the patterns targeted for deconstruction in the *next* step. For the final stage (Text N), this display shows Markers Set N, which describes the state of total annihilation. 5. **Destruction Meter:** A visual progress bar showing the level of "meaning degradation" or "entropy" achieved, progressing linearly from 0% at the initial state (Text 1) to 100% at the final annihilation state (Text N). The scale should dynamically adjust to N stages. 6. **Multiple Viewing Modes:** Include controls for manual step-through, an auto-play mode that cycles through stages with a delay, and an "Instant Annihilation" button that jumps directly to the final stage. 7. **Responsive Design:** The application must be usable and visually appropriate on various screen sizes, from mobile to desktop. 8. **Complete Functionality:** The application must be a single HTML file containing all necessary HTML, CSS, and JavaScript. No external dependencies (like external CSS files, JS libraries, or fonts requiring internet access) are allowed; all styles and scripts must be embedded. 9. **Fun & Visually Engaging Final Stage:** The visualization for the final stage (displaying Text N) must be **particularly intense, chaotic, and visually striking** using CSS animations and effects to convey total annihilation and the absence of structure.  ### Technical Requirements: -   Single HTML file with all CSS (`<style>`) and JavaScript (`<script>`) embedded. -   Smooth visual transitions (animations, effects) between stages. -   Color schemes and visual effects that reflect the progression of destruction, escalating significantly for the final stage. -   Interactive controls that update their state (e.g., disable Prev/Next at boundaries). -   Clear display of the currently viewed stage label and the markers detected at that stage. -   Ensure text content (or lack thereof in the final stage) remains readable/visible against the background and effects at all stages.  ### Content Requirements: -   Use the EXACT N text outputs generated in Phase 1. - Show the progression of text from coherent (Text 1) through increasing chaos (Text 2...Text N-1) to the specifically targeted state of total annihilation (Text N). -   Visually represent the recursive nature of the process by showing the markers detected at each step alongside the text they were found in (and which guide the next transformation or describe the final state). -   Include all N text examples and the N sets of detected marker results in the application data.  **EXECUTE BOTH PHASES AUTOMATICALLY - FIRST ASK FOR N, THEN GENERATE THE N TEXT EXAMPLES AND N MARKER SETS IN PHASE 1 ACCORDING TO N AND THE REQUIREMENT FOR THE FINAL STATE, AND FINALLY CREATE THE PHASE 2 HTML APPLICATION USING THOSE SPECIFICALLY GENERATED RESULTS, PAYING SPECIAL ATTENTION TO THE VISUALIZATION OF THE FINAL STAGE.**