The latest articles on DEV Community by Immanuel Gabriel (@immanuel_gabriel_341393bf). https://dev.to/immanuel_gabriel_341393bf https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3925833%2F70ffd687-29d3-4439-9c7f-20750f1b958f.png https://dev.to/immanuel_gabriel_341393bf en Immanuel Gabriel Mon, 11 May 2026 20:59:57 +0000 https://dev.to/immanuel_gabriel_341393bf/building-freshcontext-temporal-intelligence-infrastructure-for-ai-systems-1lmd https://dev.to/immanuel_gabriel_341393bf/building-freshcontext-temporal-intelligence-infrastructure-for-ai-systems-1lmd <p>I’ve been building something called FreshContext.</p> <p>The core idea is simple:</p> <p>AI systems often treat fresh and stale retrieved information as equally useful.</p> <p>FreshContext is an attempt to fix that.</p> <p>Instead of only retrieving information, the system applies temporal scoring before signals reach an LLM or agent workflow.</p> <p>That means:</p> <ul> <li>source timestamps matter</li> <li>decay matters</li> <li>provenance matters</li> <li>retrieval timing matters</li> </ul> <h2> What I built so far </h2> <h3> 1. FreshContext MCP </h3> <p>A Cloudflare-native MCP server with 21 tools focused on freshness-aware retrieval and live intelligence workflows.</p> <p>Current stack:</p> <ul> <li>Cloudflare Workers</li> <li>D1</li> <li>KV</li> <li>structured JSON envelopes</li> <li>freshness scoring</li> <li>observability tooling</li> </ul> <p>GitHub:<br> <a href="https://github.com/PrinceGabriel-lgtm/freshcontext-mcp" rel="noopener noreferrer">https://github.com/PrinceGabriel-lgtm/freshcontext-mcp</a></p> <h3> 2. Fresh HN Feed </h3> <p>A freshness-ranked Hacker News signal feed.</p> <p>Instead of simply listing posts chronologically, the feed scores signals using temporal decay and relevance weighting.</p> <p>GitHub:<br> <a href="https://github.com/PrinceGabriel-lgtm/fresh-hn-feed" rel="noopener noreferrer">https://github.com/PrinceGabriel-lgtm/fresh-hn-feed</a></p> <h3> 3. Fresh Jobs Feed </h3> <p>A freshness-ranked jobs API built on public job sources.</p> <p>The current focus is AI/ML-oriented roles, but the architecture is designed for broader signal ingestion later.</p> <p>GitHub:<br> <a href="https://github.com/PrinceGabriel-lgtm/fresh-jobs-feed" rel="noopener noreferrer">https://github.com/PrinceGabriel-lgtm/fresh-jobs-feed</a></p> <p>Live API:<br> <a href="https://fresh-jobs-feed.gimmanuel73.workers.dev" rel="noopener noreferrer">https://fresh-jobs-feed.gimmanuel73.workers.dev</a></p> <h3> 4. Ops Pulse </h3> <p>One thing I learned quickly:<br> observability matters.</p> <p>I built a separate operational analysis tool for monitoring:</p> <ul> <li>Workers</li> <li>D1</li> <li>cron ingestion</li> <li>runtime failures</li> <li>cache behavior</li> <li>external API failures</li> </ul> <p>The biggest improvement so far wasn’t a new feature.</p> <p>It was finally seeing the actual failure patterns clearly.</p> <h2> What surprised me </h2> <p>The hardest part wasn’t generating responses.</p> <p>It was:</p> <ul> <li>freshness correctness</li> <li>runtime isolation</li> <li>cache correctness</li> <li>partial failure handling</li> <li>observability</li> <li>temporal consistency</li> </ul> <p>The infrastructure side of AI systems is much deeper than I expected.</p> <h2> Current direction </h2> <p>The long-term goal is turning FreshContext into a broader temporal intelligence platform:</p> <ul> <li>freshness-aware feeds</li> <li>agent retrieval infrastructure</li> <li>signal marketplaces</li> <li>operational intelligence</li> <li>temporal ranking APIs</li> </ul> <p>Still very early.<br> But the architecture is finally starting to stabilize.</p> <p>If you’re building retrieval systems, agents, MCP tooling, or Cloudflare-native AI infrastructure, I’d genuinely love to connect and learn from others working in this space.</p> ai webdev typescript worker