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Reliable AI Delivery System
Turn AI coding output into evidence-backed delivery
A downloadable set of six Codex skills, ten test cases, and guides for AI coding work. It helps define scope, debug from evidence, verify acceptance criteria, and separate proven results from unverified claims before an agent says a task is done. Personal Founder Edition is sold through Gumroad for US$39.
Hi Product Hunt — I built Reliable AI Delivery System because I kept seeing AI coding agents sound confident before the work was actually proven. A build can pass while accessibility is still untested. A report can say “fixed” even when no file was changed. A handoff can look complete while the evidence is thin.
This is a downloadable Codex skill system, not a cloud app. It includes one orchestrator plus five focused skills:
- Reliable Work Start to lock the task target, scope, forbidden actions, and acceptance criteria
- Scope Control to stop drift and call out work that needs fresh approval
- Systematic Debugging Guard to debug from observed evidence instead of guesses
- Evidence Acceptance to separate proven work from unverified claims
- Reliable Delivery Report to produce a concise, reviewable handoff
The v1.2 release includes ten test scenarios. Two of them use real disposable fixtures: one auth reset redirect regression and one export failure caused by a missing output directory. Both were reproduced, fixed, and retested with command output and diffs.
The limits are intentional: this does not run work automatically, access credentials, guarantee defect-free code, or replace human engineering/security/legal review. It is meant to make AI-assisted delivery more controlled and auditable.
I’d love feedback from people using Codex, Claude Code, Cursor, or other coding agents: where do your agents most often overclaim completion, and what evidence would make you trust a handoff more?
About Reliable AI Delivery System on Product Hunt
“Turn AI coding output into evidence-backed delivery”
Reliable AI Delivery System was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #21 on the daily leaderboard. A downloadable set of six Codex skills, ten test cases, and guides for AI coding work. It helps define scope, debug from evidence, verify acceptance criteria, and separate proven results from unverified claims before an agent says a task is done. Personal Founder Edition is sold through Gumroad for US$39.
On the analytics side, Reliable AI Delivery System competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Reliable AI Delivery System performed against the three products that launched closest to it on the same day.
Who hunted Reliable AI Delivery System?
Reliable AI Delivery System was hunted by YEH I CHUN. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Reliable AI Delivery System including community comment highlights and product details, visit the product overview.
YEH I CHUN