
Your AI App Runs. Its Dependencies Might Still Be Wrong.
Reproduce a stale uv lockfile, see why frozen can run the old dependency, and give your coding assistant a consistency check it can prove.
BY JASON EAD
Original guides and analysis about coding tools, models, GitHub projects, agents, and creative AI workflows.

Reproduce a stale uv lockfile, see why frozen can run the old dependency, and give your coding assistant a consistency check it can prove.

Include human review time when comparing AI workflows. Use a tested decimal calculator and a task-trial record, with clearly fictional inputs and no model-performance claims.

Inspect parsed CSV cells for suspicious prefixes before spreadsheet delivery. Includes a tested text-only review gate, false-positive examples and clear limits.

Use a repeatable business test and Git bisect to locate an injected quote-calculation regression in a disposable four-commit repository.

Package a draft-only business reply skill with clear stopping points, source-backed review packets and five boundary tests before enabling delivery.

Build a tested Jinja rendering boundary that rejects missing report fields, escapes HTML text and keeps human approval separate from delivery.

Run a disposable SQLite restore drill that catches wrong business values even when database integrity passes. Includes tested Python code and failure checks.

Turn AI artwork into a reviewable business asset with an approved-copy brief, crop checks and a clear human release decision.

A valid JSON file can still contain the wrong price. Build a read-only Python review that exposes every service-catalog change before an AI-assisted edit reaches your business.

Use tiktoken to preserve required instructions, include whole business records and report omitted context before an AI request.

Build a local Datasette console to inspect AI workflow records, filter review queues and understand the limits of read-only snapshots and export controls.

Render structured project briefs through a reusable Typst template, preserve review artifacts and test the actual PDF output. Includes complete Python and template code.

Build and locally test a check-only Python formatting hook, separate style feedback from business correctness, and verify Claude integration before relying on it.

Run a local embedding model over business procedures, return traceable sources and test the questions your library cannot answer. Includes complete Python code.

Build a local DOCX-to-Markdown review bundle with source snapshots and hashes. A tested example shows why successful conversion can still lose business context.

Give business agents approved service details through two read-only MCP tools. Build the Python server and test real stdio calls with a fictional catalog.

Build a silent portrait promo from AI artwork and editable campaign copy. Includes a tested FFmpeg renderer, file checks and a fictional business example.

Use a transactional outbox and stable action IDs to recover CRM handoffs, with a tested local example that exposes duplicate-task and lost-reply failures.