News Entity Checks & Grounding Gate Tuning Fixes — August 19, 2026

Today, I set out to fix grounding gate tuning for news articles within my spatial AI platform, specifically focusing on improving entity checks. This was crucial because accurate entity recognition can significantly enhance the quality of information presented to users. After roughly an hour of focused work, I successfully implemented a fix that now ensures entity checks only cover the body prose, excluding editorial labels like titles and section headings.

The motivation for this fix stemmed from the first two live runs of the system, where I noticed discrepancies in how entities were being recognized. The grounding gate was incorrectly processing titles and section headings as factual claims, which muddied the results and could potentially mislead users. I wanted to ensure that the information presented through my portal CRM was as accurate and reliable as possible, which is essential for building trust in the agentic web.

Diagnosing the issue involved reviewing the output from the initial runs and comparing it against the expected results. It became clear that the grounding gate was too permissive in its checks, leading to the inclusion of non-factual elements. The fix required a manual run script to tune the gate's parameters, focusing specifically on the body prose of the articles. By restricting entity checks to paragraphs and bullet points, I could enhance the precision of the output and reduce noise from editorial content.

In the commit log, I noted that the fix involved grounding gate tuning from the initial live runs and the manual script. This was a relatively straightforward adjustment, but it did require careful consideration to ensure that the changes didn't inadvertently disrupt other functionalities. I took the time to test the adjustments thoroughly, running multiple scenarios to validate that the entity recognition was now functioning as intended.

One of the challenges I faced was the temptation to add additional features or improvements while I was in the code. However, I reminded myself that the goal today was to address a specific issue rather than add new complexity. This focus on targeted fixes is something I've learned to appreciate during my solo journey. Instead of spreading myself thin, I can make impactful changes by honing in on one area at a time.

Working solo with AI assistance through Claude Code in VS Code has been instrumental in streamlining my workflow. While it can be tempting to rely on larger teams or paid tools, I've found that having AI as a collaborator allows me to stay agile and maintain control over the development process. It’s a one-man-show approach that aligns perfectly with my ambition to build a billion-dollar valuation company.

Reflecting on today's progress, I feel a sense of accomplishment. Fixing the grounding gate tuning is a small but significant step toward enhancing the overall functionality of my spatial AI portal. As I continue to build out the agentic web, ensuring that users receive accurate and reliable information will be paramount. This fix not only improves the current capabilities but also sets a solid foundation for future developments.

In the coming days, I plan to monitor the output closely to ensure that the changes are having the desired effect. Continuous improvement is key in this journey, and I’m committed to refining the system based on real-world usage. Overall, today’s fix was a reminder of the importance of precision in AI systems and the impact that a small adjustment can have on user experience. I’m excited to see how these changes will enhance the value of my platform as I move forward.