Public sample • AI coding-agent cost and control readiness

Using AI agents to ship code faster? Make spend, browser actions and deploy gates reviewable.

A practical LaunchReady add-on for founders and agencies using Cursor, Claude Code-style agents, browser MCP/debug tools, and AI-generated launch changes. It checks cost stop-rules, action logs, regression coverage, and human acceptance gates before you sell or deploy. It is workflow-readiness only — not a security audit, compliance review, cost guarantee, or production-safety certification.

Request a free 3-point mini-checkBack to main LaunchReady offer
39/60fictional cost/control readiness score
3 pointsfree check for one public demo/repo/workflow
A$149fixed Agent Cost & Control snapshot

Representative fictional sample: AI-built SaaS dashboard

This is a fictional/composite example. It does not describe a real customer, private repository, tool bill, security issue, production incident, model result, or commercial outcome.

Workflow: founder uses AI coding agents to build dashboard, onboarding and billing screens Tools mentioned: Cursor/Claude Code-style editing, browser debug/MCP tool, manual deploy Main risk: agent retries failed changes without a stop rule; browser-test evidence disappears in chat history Safe next action: define spend/time stop rules, preserve browser action logs, and require human acceptance before auth/billing/deploy changes Do not claim: guaranteed lower token cost, secure code, compliance, or autonomous production readiness

Readiness scorecard

Cost visibility6/10
Tie agent spend to named tasks and add stop conditions for repeated failed edits, long tool loops, or risky file areas.
Action logs5/10
Browser/debug work should preserve URL, screenshot, console/network issue, command, and human decision — not just chat transcript.
Human gates8/10
Auth, billing, permissions, data deletion, env vars and deploy changes need explicit acceptance before merge/release.
Browser/MCP safety6/10
Separate read-only investigation from write-capable actions; record when a tool can click, submit, edit, or trigger external effects.
Regression checks7/10
Name smoke tests for signup, login, billing, cancellation, data export/deletion, and core dashboard paths.
Safe claims7/10
Say “AI-assisted build reviewed for launch readiness,” not “AI agents guarantee quality, security, or lower cost.”

Mini-check returned to the buyer

1. Stop runaway loops. Pause the agent after 2 failed attempts on the same issue, after a fixed spend/time budget, or before touching auth/billing/deploy files.
2. Make browser-agent work reviewable. Keep URL, screenshot name, console errors, network failures, tool command and human decision for each critical flow.
3. Separate demo speed from production confidence. Public copy can mention faster iteration; it should not imply agent-written code is safe, secure or complete without review.

Pricing and safe claims

Free: 3-point mini-check for one public demo/repo/workflow. A$149: Agent Cost & Control Readiness Snapshot with cost-control map, browser-agent log checklist, human-gate table and safe-claims rewrite. A$499: AI build-control pack with acceptance checklist, smoke-test map and founder handoff notes.

Safe claim: “I help make AI coding-agent workflows more reviewable before launch.” Unsafe claim: “I guarantee your AI agents will reduce cost, write secure code, or safely deploy production changes.”

Request a free mini-checkView standard LaunchReady sample