Solis Design Consulting

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Knowledge Services

AI Knowledge Systems

Toolkit

Creating an efficient knowledge architecture is essential for organizations aiming to optimize information flow and accessibility. Start by identifying the core topics and subtopics relevant to your business. Use clear, consistent labeling and categorize information logically to enhance findability. Implement user-friendly navigation paths and ensure that your information hierarchy aligns with user needs and search behaviors. Regularly review and update your architecture to accommodate new knowledge and evolving business priorities.<h3>Optimizing for User Experience and Scalability</h3>Focus on designing scalable structures that can grow with your organization. Incorporate feedback mechanisms to understand how users interact with your knowledge base and make iterative improvements. Utilize metadata and tagging to support advanced search capabilities and AI-driven content recommendations. By prioritizing both usability and adaptability, your knowledge architecture will serve as a dynamic foundation for effective knowledge management and technical communication.

Mastering Knowledge Architecture: A Step-by-Step Guide to Structuring Information Effectively

The integration of artificial intelligence into documentation workflows is revolutionizing how technical writers and knowledge managers create, manage, and deliver content. AI-powered tools now assist in automating repetitive writing tasks, enhancing content accuracy through real-time error detection, and personalizing documentation based on user roles and preferences. These advancements not only boost productivity but also improve the overall quality and relevance of technical documents.<h3>Impact of AI on Knowledge Services and Information Architecture</h3>In 2024, we see a growing emphasis on AI-driven knowledge graphs and semantic search technologies that enable more intuitive information retrieval. Organizations are adopting AI to streamline knowledge infrastructure, reduce content silos, and foster collaborative documentation environments. Staying informed about these trends is crucial for businesses looking to maintain a competitive edge through innovative knowledge services and technical writing strategies.

Emerging Trends in AI-Enabled Documentation Workflows for 2024

At Solis Design, we believe every client’s knowledge needs are unique. Our process begins with a thorough assessment of your existing information landscape and business objectives. We collaborate closely with your team to design customized knowledge infrastructures that align with your operational workflows and user expectations. This personalized approach ensures that the solutions we deliver are both practical and scalable, supporting long-term knowledge management success.<h3>Combining Technical Expertise with Creative Problem Solving</h3>Our team leverages deep expertise in information architecture, technical writing, and AI-enabled tools to build documentation workflows that enhance clarity and efficiency. By integrating cutting-edge technology with human-centered design principles, we create knowledge environments that empower your workforce and improve decision-making. Transparency and ongoing partnership are key elements that define how we work behind the scenes to support your knowledge service goals.

Inside Solis Design: How We Craft Tailored Knowledge Solutions for Menlo Park Clients

Technical Content is most effective when it is intentionally designed, structured, and maintained. Solis Design helps organizations create documentation and content systems that improve usability, support adoption, and scale with business growth. Modern organizations generate enormous volumes of information, but information alone does not create clarity. Solis Design helps organizations transform content into coherent, navigable knowledge systems that are easier to create, maintain, discover, and use.Our work brings together technical content strategy, documentation architecture, and knowledge architecture to support both immediate communication needs and long-term organizational growth.Our services include:<ul><li>technical writing and documentation</li><li>API and developer documentation</li><li>content strategy and planning</li><li>editorial review and content optimization</li><li>documentation and information architecture</li><li>structured content strategy</li><li>knowledge modeling</li><li>taxonomy and navigation systems</li><li>content governance and lifecycle management</li><li>workflow analysis</li><li>scalable publishing frameworks</li></ul>The result is a sustainable knowledge ecosystem: content that is clear and useful to its audience, structured for efficient management and retrieval, and designed to scale as products and organizations evolve.

Knowledge Strategy & Architecture

AI-Enabled Knowedge Systems Checklist

The Solis Design Toolkit is a collection of tested prompts for an AI-assisted workflow created to help teams research, write, organize, and understand information more effectively. Whether you are planning documentation, reviewing content, exploring customer requirements, or developing knowledge assets, these practical resources can help accelerate the journey from information to understanding. For larger demonstration projects and experimental tools, visit the Projects page.

Exploring how knowledge is structured, discovered, and applied in the age of AI.

Solis Design Content Consulting includes experimental and applied projects focused on documentation systems, information architecture, and AI-enabled knowledge tooling.Cuttle Authoring Tool EvaluatorSolis Design includes experimental and applied projects focused on documentation systems, information architecture, and AI-enabled knowledge tooling. We have experience and expertise in evaluating authoring platforms for emergent, startup, and growth companies. Often, only one of two aspects of the authoring requirements are considered leaving a considerable number of the authoring process missing.Behind this demo is a robust checklist of the documentation process. We have selected a few of the current platforms to compare against our checklist.Contact us for a demo of our Cuttle Authoring Tool EvaluatorTM.

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AI-Enabled Projects

Your customers and your employees need clear and accurate information that they can discover quickly. Organizations often have the necessary information. However, it is often scattered in isolated silos that slow the flow of information to those who need it. Solis Design is a consulting practice dedicated to helping startups and growing organizations turn fragmented bits of information into clear, scalable knowledge systems.What can we do for you? We offer the full circle of information development. We provide technical content strategy, technical writing, information architecture, information maintenance and AI-enabled content workflows that include human validation. We work with many types of information to improve employee onboarding, product adoption, operational continuity, and customer satisfaction. Our goal is to help people find the right information when they need it and turn complexity into knowledge that works.Proven expertise · Patent-holding · Startups to enterprise

Transform Complexity into Clarity

We provide expert knowledge management solutions to optimize your organization's intellectual assets and enhance decision-making processes.

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We design and implement robust knowledge infrastructure systems that support efficient storage, retrieval, and sharing of critical information.

Knowledge Infrastructure

Our technical writing services deliver clear, precise, and user-friendly documentation tailored to your products and audience.

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Technical Writing

Structured content strategies and documentation workflows that improve usability, support adoption, and align business goals with user needs.

Content Strategy & Development

Knowledge architectures that organize complex information, improve discovery, and help teams create, maintain, and scale content with confidence.

Knowledge Architecture

AI-assisted workflows and knowledge operations that streamline documentation, accelerate discovery, and improve organizational understanding.

AI-Enabled Knowledge Systems

Core Capabilities

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C. A. Solis

Knowledge Systems Consultant

About Me

C. A. Solis helps organizations transform complex information into scalable knowledge systems that improve usability, adoption, and organizational understanding. She works at the intersection of documentation architecture, content strategy, developer experience, and AI-enabled knowledge workflows.Her practice extends beyond traditional technical writing into the design of integrated knowledge ecosystems. She develops the structures, workflows, and governance models that help organizations create, manage, and scale knowledge effectively. Her work draws on information architecture, docs-as-code methodologies, and emerging AI technologies while remaining grounded in a simple principle: knowledge must remain understandable.Her experience spans AI, GraphQL, observability, big data, developer tooling, mobile technologies, video streaming platforms, and satellite systems. She has worked with <a target="_blank" rel="noopener noreferrer nofollow" href="http://Duvo.ai">Duvo.ai</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="http://Chief.ai">Chief.ai</a> (formerly <a target="_blank" rel="noopener noreferrer nofollow" href="http://Storytell.ai">Storytell.ai</a>), Stellate, Atlassian, Splunk, LinkedIn, and other technology-focused organizations.Underlying this work is a longstanding interest in how people discover, interpret, and share complex information. Clarity matters. So does structure. Carefully designed systems make both possible.

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<h4>Purpose</h4>Transform product demonstrations, feature walkthroughs, and recorded training sessions into structured documentation drafts.Technical writers frequently receive information in the form of Loom recordings, Zoom meetings, screen captures, webinars, and informal product demonstrations. Converting these recordings into publishable documentation often requires multiple viewings, extensive note-taking, content organization, and editorial review.The Demo-to-Documentation Workflow accelerates this process by transforming transcripts and recordings into structured documentation drafts. By combining organizational knowledge assets with AI-assisted content generation, the workflow produces review-ready documentation while preserving organizational writing standards, terminology, and documentation practices.<h3>Result</h3>When implemented, this workflow should produces a structured documentation draft and a companion SME Review Checklist, enabling technical writers to spend less time organizing information and more time validating, refining, and publishing high-quality documentation.<h3>Workflow Overview</h3>Upload Video or Transcript → Load Knowledge Assets → Select Documentation Template → Enter Prompts To Run Workflow → Generate Documentation Draft → Review SME Checklist → Validate → Publish<h3>Upload Sources and Knowledge Assets (Optional but Recommended)</h3><h4>Sources</h4><ul><li>Product demonstration video</li><li>Video transcript</li><li>Meeting transcript</li><li>Screen capture transcript</li></ul><h4>Knowledge Assets</h4><ul><li>Company Style Guide-- Defines writing style, voice, formatting, and terminology</li><li>Audience Personas - Tailors content to the intended audience</li><li>Product Glossary - Ensures consistent terminology</li><li>Existing Documentation - Prevents duplication and maintains consistency</li><li>API References - Validates technical terminology</li><li>Coding Standards - Reviews code examples and commands</li><li>Documentation Standards - Applies organizational documentation practices</li><li>Quality Review Checklist - Initial editorial checks</li><li>Deny List - Instructions to guide the AI to avoid certain practices.</li></ul>When multiple knowledge assets are supplied, organizational standards take precedence over default AI conventions.<h3>Upload How-To Topic Documentation Template</h3>Template PurposeDefines document structure to teach users how to complete a specific task.Sample SectionsTitle | Overview | Prerequisites | Procedure | Expected Results | Related Resources<h3>Specify AI Workflow Role</h3>Act as an experienced Technical Writer and Documentation Architect.When Knowledge Assets are supplied, adopt the organization's documentation standards, terminology, writing style, audience guidance, and editorial conventions. Where conflicts exist, organizational standards override default AI conventions.<h3>Write Workflow Prompts in Chat Session</h3> Workflow Prompt: Generate two Markdown documents: a structured Documentation Draft using the specified template and an SME Review Checklist using the following specified workflow steps.<h4>Phase 1 – Initialize Context</h4><ol><li>Analyze the uploaded video or transcript.</li><li>Load all supplied Documentation Context.</li><li>Apply the selected documentation template.</li><li>Determine the target audience using supplied personas when available.</li></ol><h4>Phase 2 – Analyze Content</h4><ol start="5"><li>Identify the primary feature, workflow, or task.</li><li>Extract technical concepts, prerequisites, procedures, expected results, warnings, limitations, and best practices.</li><li>Compare findings with existing documentation to identify duplicate content, inconsistencies, and documentation gaps.</li></ol><h4>Phase 3 – Generate Documentation</h4><ol start="8"><li>Organize content using the selected template.</li><li>Apply the Company Style Guide and Product Glossary.</li><li>Convert spoken explanations into concise instructional language.</li><li>Remove conversational language and unnecessary repetition.</li><li>Preserve demonstrated functionality without introducing unsupported information.</li></ol><h4>Phase 4 – Technical Validation</h4><ol start="13"><li>Validate code samples for syntax and completeness.</li><li>Verify command-line examples for technical plausibility.</li><li>Recommend screenshots, diagrams, tables, or illustrations where appropriate.</li><li>Suggest links to related documentation.</li></ol><h4>Phase 5 – Generate SME Review Checklist</h4>Include:<ul><li>Open Questions</li><li>Missing Information</li><li>Assumptions</li><li>Technical Ambiguities</li><li>SME Follow-up Questions</li><li>Recommended Screenshots or Diagrams</li><li>Suggested Examples</li><li>Validation Checklist</li></ul><h4>Phase 6 – Editorial Review</h4><ol start="17"><li>Review the Documentation Draft for:</li></ol><ul><li>Clarity</li><li>Organization</li><li>Consistent terminology</li><li>Conciseness</li><li>Technical plausibility</li><li>Compliance with all supplied Documentation Context</li></ul>

Feature: Video Demo-to-Documentation Workflow

<h3>Quality Review Checklist Example</h3>Workflow Prompt: In the chat session, ask the AI to verify the following items before generating the documentation:✓ Technical plausibility using supplied source material✓ Logical organization✓ Complete procedural flow✓ Consistent terminology✓ Active voice✓ Concise language✓ Reusable procedural steps✓ Valid code examples (when applicable)✓ Verified command-line examples (when applicable)✓ Consistency with existing documentation (when supplied)✓ All unresolved questions captured in the SME Review Checklist<h3>Deny List Example</h3>Workflow Prompt: Tell the AI To NOT:<ul><li>Invent product functionality.</li><li>Invent configuration values.</li><li>Omit prerequisite information.</li><li>Leave procedural gaps without identifying them.</li><li>Rewrite established company terminology.</li><li>Remove important warnings or cautions.</li><li>Assume missing information without documenting the assumption.</li><li>Mix unresolved technical questions into the Documentation Draft.</li></ul>

Knowledge Asset Examples

Knowledge Development Services

AI is transforming how organizations create, manage, and retrieve knowledge. Solis Design helps teams integrate AI-enabled workflows into existing documentation and operational environments without sacrificing clarity, governance, or usability.Our services include:<ul><li>AI-assisted documentation generation</li><li>intelligent content review and validation</li><li>structured content pipelines</li><li>retrieval-aware knowledge systems</li><li>knowledge discovery and surfacing</li><li>workflow automation and content orchestration</li></ul>The result is faster content production, improved consistency, and knowledge systems designed to evolve alongside modern products and platforms.

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