Delentia Labs 2026.03 Snapshot is the release where the public platform catches up with the current benchmark baseline of the system. This update focuses on reliability, trust signals, and launch readiness rather than exposing sensitive implementation detail.
References in this article to 7,820 tests or a private enterprise service layer describe the public repository CI or enterprise environment evidence lane, not the public SDK proof lane.
What Changed
- Public metrics were aligned to the current benchmark snapshot.
- Core platform pages now present the system in a clearer enterprise-safe way.
- Site navigation and content paths were tightened to reduce duplication and improve evaluation flow.
- Technical SEO surfaces such as sitemap, robots policy, schema consistency, and blog indexing were improved for launch.
Current Platform Baseline
- Version: 2026.03 Snapshot
- Test coverage: 7,820 passed / 0 failed / 0 errors
- Service footprint: a private enterprise service layer
- Availability target: no published uptime figure (no SLA is offered) SLA
- Quality target: 0.3% hallucination rate in public benchmark framing
Why This Release Matters
This release is less about announcing a single feature and more about making the platform legible and trustworthy for external evaluation. That matters because enterprise buyers, researchers, and AI teams judge readiness based on consistency, clarity, and governance signals as much as raw capability.
Focus Areas
- Public-safe architecture messaging for core systems and platform pages
- Stronger product evaluation paths across solutions, pricing, and company content
- Launch-critical crawl governance so search engines index the right pages first
- Cleaner release communication for future roadmap, changelog, and blog authority building
Looking Ahead
The next milestone is not simply shipping more pages. It is building authority around them: better release notes, stronger benchmark evidence, a more deliberate blog cadence, and tighter entity consistency across search, AI assistants, and human evaluators.
What enterprise teams should retain from this briefing
Delentia Labs 2026.03 Snapshot aligns the public platform with the current benchmark baseline, strengthens enterprise readiness, and improves launch-critical SEO and content governance.
Move from knowledge into platform evaluation
Each research article should connect to a solution page, an authority page, and a conversion path so discovery turns into real evaluation.
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Ittirit Saengow
Primary authorIttirit Saengow (อิทธิฤทธิ์ แซ่โง้ว) is the founder and architect of Delentia, an open-source agent runtime. He grew up in a Khlong Toei flat community, studied architecture and does not write code: he conceived the FDIA equation (F = (D^I) × A), the JITNA protocol (RFC-001) and the RCT-7 framework, and builds the system by directing AI coding assistants and checking their work with tests. It is an early, one-person project with no customers yet. The public repository CI runs 7,820 tests; what is and is not measured is on the Benchmark page.