Blog
Practical articles for creators and small service teams on choosing, setting up, and checking AI tools.
Google Stitch: turn an app idea into screens you can work with
A booking app needs more than a good-looking home screen. Google Stitch gives you a place to explore the screens, flow and design rules before implementation.
Claude Sonnet 5.5 vs GPT-6.1 Sol: same base price, different trade-offs
Sonnet 5.5 and GPT-6.1 Sol arrived on September 28–29 with matching base API rates. Compare access, long-context costs and integration changes before your first trial.
Claude Code vs Codex vs Antigravity: choose by the work you need to finish
Choose Claude Code, Codex or Google Antigravity by phone continuity, visible UI work, recovery and review time. An editor's observations, with a short trial to test your own workflow.
GPT-5.5 has retired from Codex: check saved model settings
Find saved GPT-5.5 selections in Codex defaults, agents, scheduled tasks and scripts, then verify an available replacement after the October 14 cutoff.
GPT-6 Sol in Codex: budget credits and reviewer time together
A Codex credit rate is not a per-task bill. Compare Sol and Luna on accepted work, retries, review time and actual account usage.
Claude Opus 5.5 pricing: calculate the whole agent run
Opus 5.5 has lower API token rates than Opus 5. Here is how to count cache use, retries and accepted work before predicting an agent's real cost.
Ten cases to test before an AI client-intake workflow goes live
Download ten synthetic intake cases and a pilot log. Rehearse duplicates, missing details, old prices and human handoffs before an AI workflow goes live.
Claude Opus 5.5: what to check before switching a production agent
Opus 5.5 changes more than the model ID. Check thinking, tool choice, fallback conversations and computer use before moving an agent to production.
GPT-6 Sol or Luna in Codex? Choose by the work you need checked
Sol and Luna serve different jobs. Here is a practical way to route complex coding and focused repeatable work while measuring review time and retries.
Opus 5.5 or GPT-6 Sol for a coding agent? Run a pilot that can change your mind
A head-to-head coding-agent pilot should measure accepted changes, recovery, review time and actual cost under comparable task conditions.
Make or n8n for client intake? Choose the recovery path first
For a client intake handoff, compare Make and n8n by who notices a failed run, how the team repairs it and whether a retry creates a duplicate task.
Run an AI workflow pilot that can end with a decision
A useful AI pilot has a baseline, an owner, explicit review and stop rules, and a decision date. This guide shows a small team what to record before expanding a workflow.