Complete procedures with a way back.

Create a durable Node.js chatbot with OpenAI Conversations, typed response streaming, safe cancellation, transcript recovery, duplicate protection, explicit retention and deletion, real failure drills, and a production release gate.

Create a browser voice assistant with WebRTC media, a server-controlled session, explicit consent, interruption and turn detection, typed events, bounded tools, transcript review, reconnect handling, and privacy-safe operations.

Combine input and output moderation, privacy-preserving safety identifiers, per-user and shared rate limits, bounded generation, refusal UX, incident evidence, review queues, and an appeal process.

Create a secure document pipeline for PDFs, scans, screenshots, and photos that validates intake, extracts strict structured data, preserves page and field evidence, detects refusals and uncertainty, and requires review before downstream use.

Build a server-only OpenAI integration with project-scoped service accounts, tenant authorization, application quotas, project spend alerts, privacy-preserving audit events, retention controls, key rotation, and tested incident recovery.

Upload bounded datasets to an isolated Python container, validate generated summaries and files, preserve analysis evidence, control downloads, reconcile provider objects, and test sandbox failure modes.

Build a runnable native OpenAI Responses and Claude Messages router for an explicitly limited non-streaming text contract, with strict unsupported-feature rejection, provider-specific adapters, durable turn idempotency, native evidence, sanitized errors, timeout reconciliation, live parity fixtures, tenant canaries, and rollback without replay.

Build a bounded research service that combines current web evidence with a private vector store, renders clickable citations, exposes every consulted source, limits retrieval, records cost, and refuses unsupported conclusions.

Create deterministic JSONL requests, upload and submit a bounded batch, poll without duplication, reconcile output and error files by custom ID, report cost, and safely resume only missing work.

Build an asynchronous job service with durable state, background Responses, signed and deduplicated webhooks, polling reconciliation, cancellation, status pages, retry classification, dead-letter recovery, and release-safe observability.

Create a production support workflow with typed specialist handoffs, bounded tools, guardrails, durable sessions, resumable human approvals, trace review, and deterministic release evaluations.

Build a production incident assistant that accepts signed alerts and bounded log excerpts, removes credentials and personal identifiers before durable storage, links every conclusion to immutable evidence, suggests only reviewed runbooks, drafts rather than performs external actions, requires an incident commander to approve dispatch, and exports a portable incident record.

Build a production catalog assistant that imports merchant-approved structured product data, generates reproducible embeddings, combines semantic retrieval with exact price and category filters, treats stale inventory as unknown, keeps recommendation language inside explicit boundaries, and turns account or order help into a local handoff draft that a merchant operator must approve before a separate dispatcher writes to support.

Run a workload-owned, evidence-based comparison between a pinned local Qwen3-4B GGUF served by llama.cpp and current OpenAI and Anthropic cloud API candidates. Measure quality, privacy boundaries, latency, reliability, operations, capacity, and total cost without pretending differently sized models or delivery models are identical.

Build a ChatGPT-compatible MCP service with read and write tools, an optional sandboxed UI component, OAuth-aware authorization, privacy disclosures, host testing, and an evidence-backed submission checklist.

Build an evidence-first support bot that crawls one authorized website through sitemap and robots controls, blocks SSRF, normalizes canonical pages, creates an OpenAI File Search index, returns inspectable citations, evaluates every revision, exposes an explicit human-escalation path, and refreshes content without replacing a known-good index.

Build a multi-workspace Slack support bot with OAuth installation, Slack-signed Events API and interaction handling, slash commands, durable delivery deduplication, channel allowlists, isolated thread memory, OpenAI streaming through Slack's native chat stream methods, bounded rate-limit retries, explicit two-step human escalation, encrypted installation storage, observability, export, rollback and teardown.

Build a deterministic TypeScript router that prefers local Ollama, permits OpenAI cloud only for eligible data with explicit per-request approval, checks provider capabilities and application-level validation evidence, fails over without loops or silent egress, and records content-free HMAC audit events.

Build a bounded Responses API agent whose strict function calls are treated as proposals, whose deterministic state and policy select eligible tools, whose consequential actions require exact human approval, and whose adapters use durable idempotency, effect-aware retries, deadlines, safe outputs, correlated audit and full-bundle rollback.

Measure production token economics and user latency, design cacheable prompts and context budgets, and ship only quality-gated optimizations.

Connect models to real capabilities with strict schemas, deterministic policy, human approval, idempotent execution, bounded retries and complete audit evidence.

Design, validate, evaluate and operate schema-constrained OpenAI responses without confusing valid JSON with factual truth or authorization.