How to use Codex to fix truncated home-maintenance answers
Codex built Domoranda’s applicable home-care records and caught truncated coach responses; the owner retained safety, privacy and production launch decisions.
devpost.com
Suggested prompt
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Build home-care records from confirmed equipment facts, including repeated appliances and exact filter locations. Match only applicable reviewed guides and preserve unresolved facts. Test structured-answer truncation, durable delivery and allowance refunds, and pause for human safety and release review before exposing guidance to households.
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Sourced account- Source author
- Stephen Olszewski
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- The creator reports a deployed home-care product and a verified completed Home Coach answer after repairing output truncation; no avoided-repair or household-safety outcome is inferred.
- Human involvement
- Olszewski retained product, safety, privacy and launch decisions; synthetic demo households and professional stopping conditions limited the claimed use.
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How the agent did it
- Olszewski defined confirmed household facts, repeated equipment records and applicability-based maintenance boundaries.
- Codex implemented care records and delivery behavior while the owner retained safety and release decisions.
- Final verification found truncated structured answers, leading to a bounded ceiling change and reported live-answer proof.
Stephen Olszewski used Codex to build Domoranda, a home-care application that matches confirmed equipment and household facts to applicable maintenance guides. The design distinguishes separate filter locations and repeated appliances instead of assuming one generic item per category. Unconfirmed models, dates and local requirements remain unresolved.
Codex implemented vertical slices across household records, recurrence, guidance, isolation and release checks. The owner set the consumer promise, safety stopping points, privacy limits and launch authority. A deterministic synthetic household kept the public demonstration separate from customer records.
A concrete final-verification failure affected the Home Coach. Its original 400-token structured-answer ceiling could truncate a valid response before the JSON completed. Codex found that boundary; the release raised the bounded ceiling, preserved cost and escalation rules, passed CI and demonstrated a completed answer in production, according to the creator. Delivered answers were saved server-side so a closed browser did not discard them.
Runtime models explain applicable reviewed guidance while deterministic code retains authority over schedules, applicability and allowances. The outcome is a reported deployed consumer product and a specific delivery repair, not proof that any home avoided damage or that generated instructions replace professional inspection. Hazardous or uncertain work remains subject to the product’s stated stopping boundaries.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Devpost · Stephen Olszewski
Frequently asked questions
Does the system invent missing equipment details?
The source says unconfirmed model, service-date and local-requirement facts remain unresolved.
What concrete delivery bug did Codex find?
A 400-token output ceiling could truncate structured JSON before an answer completed.
Was the public demo a real customer household?
No. It used a deterministic synthetic household.
More details
About this account
Olszewski defined confirmed household facts, repeated equipment records and applicability-based maintenance boundaries. Codex implemented care records and delivery behavior while the owner retained safety and release decisions.
Primary dated account opened at its canonical maintenance-compiler URL. Codex implementation and live truncation finding explicit. Public demo is synthetic; reported deployment does not establish prevention of damage or professional inspection quality. Suggested prompt written by Agents In Use; no original task prompt was found in the verified text.
Credit: Stephen Olszewski — Devpost
Source published
Added to Agents In Use
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Tools and topics
Codex · Next.js · Supabase · OpenAI Responses API · Netlify
home maintenance · confirmed equipment · durable answers
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.