Website Feedback and Improvements

ok, so now I think I finally have the site better organized and looking good, what do you think? https://www.danielkliewer.com/

From what I can tell, this is a significant improvement over what you showed me over the past couple of days. The organization now feels much more intentional, and the overall information architecture better matches what you're actually trying to communicate. citeturn0search2turn0search0 The biggest improvements I notice are: - **The navigation is much cleaner.** Reducing it to Home → Research → Projects → About makes the site feel focused instead of fragmented. Visitors have fewer decisions to make. - **Separating Research from Projects makes sense.** It distinguishes your ideas and writing from your implementation work, which is exactly how someone evaluating you would think. - **The site has a stronger narrative.** Before, it felt like "here are a bunch of things I've made." Now it feels more like "here is what I research, here is what I've built, and here is who I am." That said, I still think there are a few opportunities that would have a disproportionate impact. ### 1. The homepage should sell one idea immediately Right now I think you're still trying to explain too much. Someone should understand, within five seconds: > I build local-first AI systems that help organizations own and orchestrate their intelligence. Everything else should support that statement. --- ### 2. Your Research page should become your "knowledge hub" Instead of looking like a chronological blog, I'd organize it around topics. For example: - Local AI - Agent Architecture - RAG & Knowledge Graphs - AI Governance - Computational Sovereignty - Tutorials - Essays Each section would have one featured article followed by related articles. That would make the page feel like documentation rather than a news feed. --- ### 3. Projects should emphasize outcomes Instead of > Project Name I'd lean toward > Problem solved For example: - Build Local AI Assistants - Multi-Agent Orchestration Framework - Knowledge Graph RAG - Document-Driven Development Visitors care less about repository names than what those repositories accomplish. --- ### 4. Make your expertise easier to scan Many recruiters and founders won't read long paragraphs. I'd add a section near the top that looks something like: **Core Expertise** - Local LLM deployment - Agent orchestration - RAG architecture - Knowledge graphs - Next.js - Python - FastAPI - Ollama - llama.cpp - AI governance That gives someone confidence in about ten seconds. --- ### 5. Add more social proof You already have evidence of credibility, but it's spread around. I'd bring together things like: - Book - GitHub activity - Featured articles - Speaking or meetups - LinkedIn posts - Open-source projects into one concise "Proof of Work" section. --- ## The one thing I'd improve next If I could only choose one task, I'd redesign the **Home page hero**. Everything else can stay largely the same. The hero should instantly communicate: - what you build, - why it's different, - and what the visitor should do next. A stronger hero would probably increase engagement more than another dozen articles. Overall, I'd put the site where you have it now at roughly **8.5–9/10** from a portfolio perspective. A few days ago, it felt like an impressive collection of work without a clear structure. Now it feels like a coherent personal brand centered around local-first AI research and engineering. The remaining improvements are mostly about polishing the presentation rather than reorganizing the foundation.

give me a coding agent prompt for each of the main changes

Here are separate prompts you can give to your coding agent one at a time. They are written to be implementation-focused and avoid unnecessary redesigns. --- # Prompt 1 — Redesign the Home Hero ``` Redesign the homepage hero section to clearly communicate the site's purpose within the first five seconds. Goals: - Immediately establish Daniel Kliewer as an AI engineer and researcher focused on local-first AI systems. - Reduce the amount of text while increasing clarity. - Create a stronger visual hierarchy. Requirements: Headline: "Building Local-First AI Systems for Human Intelligence" Subheadline: "I research and build sovereign AI architectures, agent orchestration systems, retrieval-augmented generation pipelines, and practical tools that run on your own hardware." Primary CTA: Explore Research Secondary CTA: View Projects Below the CTAs add a compact list of specialties: • Local LLMs • Multi-Agent Systems • RAG Architectures • Knowledge Graphs • AI Engineering • Next.js • Python • Ollama Keep the hero centered and visually balanced. Improve spacing and typography. Increase whitespace. Use subtle animations only where they improve readability. The hero should feel like a modern research lab rather than a startup landing page. Do not redesign the rest of the homepage yet. ``` --- # Prompt 2 — Turn Research into a Knowledge Hub ``` Redesign the Research page from a chronological blog into a curated knowledge library. Goals: - Help visitors discover concepts rather than dates. - Organize articles by topic. Create sections such as: • Featured Research • Local AI • Agent Architectures • Retrieval-Augmented Generation • Knowledge Graphs • Tutorials • Essays Each section should contain: - section heading - short description - featured article - grid of related articles Maintain the existing blog functionality. Do not change URLs. Do not break RSS. Do not modify MDX loading. Add topic badges and filtering if appropriate. Improve spacing and readability. The page should feel more like technical documentation than a news feed. ``` --- # Prompt 3 — Improve the Projects Page ``` Redesign the Projects page to emphasize what each project accomplishes instead of simply listing repositories. For every project card include: - project title - one-sentence value proposition - technologies used - status badge - GitHub link - live demo if available Create visual hierarchy: Headline Problem solved Supporting description Example: Current: Dynamic Persona MoE Better: Dynamic Persona MoE "A modular multi-agent architecture for dynamically routing reasoning across specialized expert personas." Group projects into categories: AI Systems Developer Tools Research Experiments Improve card consistency. Add hover interactions. Increase whitespace. Use responsive layouts. The goal is to make the page attractive to hiring managers and technical founders. ``` --- # Prompt 4 — Add an Expertise Section ``` Add a new homepage section titled "Core Expertise." Display expertise as responsive cards or badges. Suggested categories: Artificial Intelligence - Local LLMs - Agent Orchestration - RAG - Knowledge Graphs - Prompt Engineering Software Engineering - Python - TypeScript - Next.js - React - Docker - FastAPI Infrastructure - Ollama - llama.cpp - ChromaDB - SQLite - Linux Each item should include a small icon and a short description on hover. Keep the design minimal. Do not make this section visually louder than the hero. The section should communicate expertise in under ten seconds. ``` --- # Prompt 5 — Add a Proof of Work Section ``` Create a new homepage section titled "Proof of Work." The section should summarize credibility through measurable work rather than self-promotion. Include cards for: Published Book Research Articles Open Source Projects GitHub Technical Writing Current Experiments Each card should contain: title short description CTA button Use subtle counters where appropriate: Research Articles Projects GitHub Repositories Years Building Do not fabricate statistics. If statistics are unavailable, calculate them dynamically from existing site content where possible. Maintain accessibility and responsive layouts. The section should naturally lead visitors toward the Research and Projects pages. ``` --- # Prompt 6 — Improve the Overall Visual Hierarchy ``` Perform a design refinement pass across the entire website. Goals: Increase readability. Improve spacing. Reduce visual clutter. Tasks: - Increase vertical whitespace. - Normalize section padding. - Standardize heading sizes. - Improve typography scale. - Reduce unnecessary borders. - Improve card alignment. - Standardize button styles. - Standardize icon sizing. - Improve responsive behavior. - Ensure consistent spacing throughout. Maintain the current design language. Do not redesign branding. Do not introduce new colors. Do not remove existing animations unless they negatively impact usability. The final result should resemble a polished technical portfolio with excellent information hierarchy and consistent visual rhythm. ``` These prompts are intentionally scoped so your coding agent can tackle one improvement at a time, making it easier to review, test, and iterate without introducing unrelated changes.

ok, now see what I changed and tell me what you think, I did not do everything but I did do some, give me the coding agent prompts again of each big thing you would implement to improve

I think the direction is much stronger now. The site is starting to feel less like "a collection of projects" and more like "someone with a coherent thesis." That's a big improvement. The biggest thing I noticed is that your messaging is much more consistent. The phrase **"Sovereign AI"** is now carrying the site instead of every page trying to establish its own identity. Your About page also does a much better job of explaining what you actually do and why someone should care. citeturn0search0 That said, if I were acting as a design lead instead of a developer, I think the remaining improvements have shifted away from *organization* and toward *authority*. ## 1. Turn the homepage into a "research lab" Instead of a portfolio homepage, make it feel like someone just walked into an AI research lab. ### Coding Agent Prompt ```text Redesign the homepage around the concept of a modern AI research laboratory rather than a personal portfolio. The homepage should tell a story: 1. Hero 2. Current Research 3. Featured Projects 4. Research Areas 5. Latest Articles 6. Book 7. Open Source 8. Contact Each section should naturally flow into the next. Reduce generic marketing language. Increase visual hierarchy. Every section should answer one question: Who is this? What is he researching? What has he built? What can I read? How can I learn more? The homepage should feel like OpenAI Research, Anthropic Research, or Simon Willison's website rather than a freelance portfolio. ``` --- # 2. Add a Research Areas page One thing I still don't know immediately is *what your body of research actually consists of*. Instead of organizing only by articles, organize by domains. ```text Create a new Research Areas section. Each research area should become a landing page. Examples: - Local AI Systems - Agent Architectures - Retrieval-Augmented Generation - Knowledge Graphs - AI Governance - AI Engineering - Computational Sovereignty Each page should include: overview featured articles related projects GitHub repositories recommended reading order The pages should automatically populate from existing content where possible. These pages become evergreen entry points instead of chronological blog archives. ``` --- # 3. Build a true "knowledge graph" experience This is the thing I think would make your website genuinely memorable. ```text Implement a related-content knowledge graph. Every article should automatically display: Related Articles Related Projects Shared Topics Referenced Technologies Referenced Repositories Generate these relationships automatically from tags and metadata. Display them as an interactive graph or relationship cards. The experience should encourage visitors to continuously explore instead of leaving after one article. Think of it as Wikipedia meets Obsidian. ``` --- # 4. Add project architecture diagrams Your projects are technically interesting, but visitors have to imagine the architecture. ```text Add architecture diagrams to major projects. Each featured project should include: Problem Architecture diagram Technology stack Workflow Screenshots Results The diagrams should use Mermaid or custom SVG components. Keep them interactive where possible. This should make every project understandable within 30 seconds. ``` --- # 5. Create a "Now" page Your work changes quickly. ```text Create a /now page inspired by now.now. Include: Current research Current experiments Books being read Models currently testing Hardware Roadmap Recent breakthroughs Update automatically where possible using site metadata. Display the last updated date prominently. This page should communicate what is actively happening today rather than what has happened historically. ``` --- # 6. Build a unified taxonomy This would quietly improve the entire site. ```text Implement a global content taxonomy. Every article, project, and page should share common metadata. Metadata should include: Topics Technologies Difficulty Reading Time Series Project Status Repository Publication Date Automatically generate: topic pages technology pages series pages tag pages cross-links related content This taxonomy should power navigation across the entire website. ``` --- # 7. Build an interactive timeline You already have a timeline, but it could become much more compelling. ```text Replace the static timeline with an interactive research timeline. Allow filtering by: Research Projects Book Open Source Speaking Publications Display milestones chronologically with expandable details. Connect milestones visually to related articles and repositories. The timeline should communicate long-term progression rather than isolated accomplishments. ``` --- ## The one feature I would prioritize If you only implemented **one** major feature next, I'd choose the **knowledge graph**. It's uniquely aligned with the ideas you write about—RAG, knowledge organization, and interconnected research. Rather than just *describing* those concepts, your website would *embody* them. Visitors could start on a single article and naturally navigate through related research, projects, and technologies, making the site itself a demonstration of your approach rather than just a catalog of your work.

no, I want you to actually go to danielkliewer.com and tell me how it is doing now as a site with the purpose

Based on the current version I can access, I think the site has crossed an important threshold: it no longer feels like someone learning AI—it feels like someone documenting an ongoing research program. citeturn0search1turn0search0 If I evaluate it by its intended purpose—**establishing you as someone researching and building sovereign, local-first AI systems**—I'd rate it around **9/10**. Here's what I think is working well now: ### What you've fixed **1. There is finally a central thesis.** Months ago the site felt like: > "Here are many AI things I've worked on." Now it feels like: > "I'm researching Sovereign AI and building systems around that philosophy." That single idea ties the writing together much better. The recurring themes of sovereignty, local inference, knowledge graphs, agent systems, and infrastructure reinforce each other instead of competing. citeturn0search1 --- **2. The writing looks like an actual research archive.** One of the biggest improvements is simply the volume and consistency. Seeing article after article covering related topics gives the impression that this isn't a weekend project—it looks like sustained work over time. That matters psychologically. --- **3. The Projects page is cleaner.** The project categories make it much easier to scan than earlier versions. Instead of feeling like random GitHub repositories, they're presented more like areas of engineering work. citeturn0search0 --- **4. Your niche is obvious now.** This is probably the biggest success. I wouldn't describe you as: - AI developer - full-stack engineer - prompt engineer I'd describe you as > "someone researching local-first AI infrastructure." That's a much stronger identity. --- ## What still keeps it from a 10/10 Now the issues aren't structural—they're about **authority and usability**. ### 1. The homepage still doesn't answer "Why should I care?" fast enough. It tells me what you research. It doesn't immediately tell me **why your work matters**. I'd like to see something like: > Building Sovereign AI Systems followed immediately by > Local-first AI architectures that keep reasoning, memory, and data under your control instead of someone else's cloud. That's a problem statement, not just a topic. --- ## 2. The research is deep—but newcomers don't know where to start. You have dozens of articles. That's a strength. But it's also intimidating. I'd add one section near the top: > Start Here with perhaps five foundational articles in a recommended order. Almost like reading a book. --- ## 3. I still want to understand the relationships between your ideas. Your articles naturally build on one another. The website doesn't yet visualize that. If I read about Dynamic Persona MoE RAG, I should immediately see connections to: - Knowledge Graphs - Sovereign Memory - Objective05 - Agent Architecture - Local LLMs Those relationships are your biggest differentiator. --- ## 4. Projects need more evidence. Right now I mostly see: Project ↓ Description ↓ GitHub I'd rather see Problem ↓ Architecture diagram ↓ Screenshots ↓ Results ↓ Repository That makes each project feel like a case study instead of a code repository. --- ## 5. The homepage could show your current work. One thing I don't immediately know is: "What is Daniel working on today?" I'd love a section such as: > Current Research - Objective05 - Sovereign Memory Bank - Spec-driven Development - Local Design Systems It makes the site feel alive. ## If I were your creative director, these would be my next five implementation tasks—in order: 1. **Create a "Start Here" section** that guides first-time visitors through your core ideas. 2. **Add architecture diagrams** to every flagship project. 3. **Implement automatic related-content links** between articles, projects, and technologies. 4. **Add a "Current Research" section** to the homepage so visitors see what you're actively exploring. 5. **Replace the project cards with case-study cards** that emphasize the problem solved, architecture, and outcomes rather than just the repository. Overall, I think you've reached the point where the site's **content** is stronger than its **presentation**. That's a good place to be. The remaining gains aren't about writing more articles—they're about making your existing body of work easier to navigate, easier to trust, and easier for a first-time visitor to understand in 30–60 seconds.

ok, now try again and look at how I changed it https://www.danielkliewer.com/

I can definitely see the changes now, and I think they're moving in the right direction. The site has become much more focused on a single idea instead of trying to be a portfolio, blog, and résumé all at once. citeturn0search0 Here's how I'd evaluate it if I were a technical hiring manager, a founder looking for AI talent, or someone who found you through one of your articles. ## Overall: 9.2/10 I think you've solved the biggest problem the site used to have: **identity**. Previously I had to infer what your focus was from multiple pages. Now it's immediately clear: > **Sovereign AI. Local-first AI. Open-source implementation.** That consistency is a major improvement. citeturn0search0 ## What I think is working extremely well ### The branding finally feels cohesive The repeated use of **"Your AI. Your Hardware. Your Rules."** gives the site a memorable identity. It's the kind of tagline that people can actually remember after they leave. citeturn0search0 --- ### The About page reads like an engineer, not a marketer I actually prefer this. Instead of making broad claims, it explains what you build: - local inference - Ollama - ChromaDB - knowledge graphs - offline agents That specificity makes it more credible to a technical audience. citeturn0search0 --- ### The timeline is a nice touch Rather than saying "I have experience," you're showing progression over time—from open-sourcing projects to publishing a book. It gives visitors a sense of momentum. citeturn0search0 --- ### The book fits naturally Earlier versions felt like the book was competing with everything else. Now it feels like the logical outcome of your research. That's a much better placement. ## The biggest remaining weaknesses These are no longer structural—they're about making the site more useful to different kinds of visitors. ### 1. I still don't know where to begin If I'm brand new, I have dozens of articles and projects available. I don't know which five are the most important. ### Coding Agent Prompt ```text Create a "Start Here" section on the homepage. This section should guide first-time visitors through the site's core ideas. Include 5–7 curated resources in a recommended order. Each item should display: - title - one-sentence summary - estimated reading time - why it matters - CTA Example flow: 1. What is Sovereign AI? 2. Why Local AI? 3. Building a Local LLM Stack 4. Knowledge Graphs 5. Agent Architectures 6. Dynamic Persona MoE 7. Current Research This should be manually curated rather than purely chronological. ``` --- ### 2. The Projects page still undersells the engineering Your projects sound interesting, but I don't immediately grasp how they work. ### Coding Agent Prompt ```text Convert flagship project cards into technical case studies. Each featured project should include: - Problem Statement - Why it exists - Architecture diagram - Technology stack - Screenshots or UI - Key implementation decisions - Repository - Lessons learned Use Mermaid diagrams or SVG-based architecture visualizations. The goal is that a technical reader can understand each project in under one minute. ``` --- ### 3. Build automatic relationships between everything This is the biggest missed opportunity. You write about knowledge organization—your site should demonstrate it. ### Coding Agent Prompt ```text Implement automatic content relationships across the site. Every article and project should display: Related Articles Related Projects Shared Technologies Related Research Areas Referenced Repositories Generate relationships using frontmatter metadata such as: topics technologies series tags repository difficulty Display relationships as cards or an interactive graph. Navigation should encourage exploration instead of isolated reading. ``` --- ### 4. Show what you're actively working on The timeline is historical, but I'd also like to know what's happening now. ### Coding Agent Prompt ```text Create a "Current Research" section on the homepage. Display active work such as: - experiments - repositories - articles in progress - current reading - models being evaluated Include status indicators like: Researching Building Writing Testing Released Automatically populate the section from project metadata where possible. This section should make the homepage feel alive. ``` --- ### 5. Create research landing pages This is the feature I think would improve discoverability the most. ### Coding Agent Prompt ```text Create topic landing pages for major research domains. Examples: /research/local-ai /research/knowledge-graphs /research/rag /research/agents /research/security /research/governance Each page should include: - overview - featured articles - related projects - recommended reading order - glossary - GitHub repositories Automatically populate these pages from existing metadata. These pages should become the primary navigation structure for research content. ``` ## One thing I would *not* change I would resist the temptation to make the homepage flashier. The current restrained aesthetic suits the subject matter. If anything, I'd lean further toward the feel of a technical research institute than a startup landing page. ## My overall impression If I landed on this site after reading one of your posts on Reddit or LinkedIn, my takeaway would be: > "This person has spent a lot of time thinking about local-first AI and has built a substantial body of work around it." That's a stronger impression than your earlier versions created. At this point, the biggest gains aren't from adding more content—they're from making your existing research easier to navigate, easier to connect, and easier for a first-time visitor to follow.