Give it a purpose.
Choose a task and a success check. Set the harness, model, environment, and access.
✳ Happy paths. Better products.
Give a fresh agent something worth doing. Follow its journey. Build a better way through.
One prompt installs AJX: the CLI and the skill, together.
A clear goal, with a result we can verify: 100 data rows in a valid CSV.
Both commands look relevant. The top-level help does not explain which one writes CSV.
The documented --out flag fails. A help lookup reveals the supported --output flag.
The task succeeds. The detours still reveal three ways to improve the product.
Pick a stop. Follow the evidence.
A fresh agent. A useful perspective.
AJX gives a fresh worker a real task, records its journey, and turns the evidence into product improvements your team can act on.
Choose a task and a success check. Set the harness, model, environment, and access.
Follow the attempt in your local console. Keep the events and artifacts, including the detours.
Open the report. Inspect the asks. Follow each one back to the evidence before deciding what to fix.
A happy ending isn’t the whole story.
A concrete change. The reason it matters. A way to check it. That’s what an AJX product ask gives your team.
Fictional sample · Demo Export CLIThe docs use --out. The CLI expects --output. The first attempt fails before the agent finds the correction.
Use the supported flag in a copyable CSV example.
The documented command creates a valid 100-row CSV.
Only the start and completion are visible during a 47-second export. The agent cannot tell working from stuck.
Emit progress separately from the CSV output.
A delayed export remains observable without polluting stdout.
Both export and dump sound right. Top-level help does not explain which command writes CSV.
Explain formats and intended use in command help.
An agent can identify the CSV command from top-level help.
Forks, blocks, waits, and helpful moments.
Asks and outcomes across versions and harnesses.
These events and measurements are invented to demonstrate the report. No real product or agent was tested in this example.
Your product’s turn
Open your project in a skill-capable agent and paste the prompt. It installs AJX and helps you plan one small, useful attempt.
Review the task, success check, access, and expected model costs. Then open the report and visual journey together.
Codex · Claude Code · Kiro CLI
AJX skills work with compatible Agent Skills hosts.
Install the latest stable AJX CLI and skill by following https://raw.githubusercontent.com/royosherove/ajx/main/docs/AGENT-QUICKSTART.md Then load the installed AJX skill. I want to use AJX to test jq. Starting point: https://jqlang.org/manual/ Task: Filter a sample JSON inventory to in-stock items and export their names and prices as CSV. Prepare any tools, generated sample data, and local test server needed in a temporary workspace. Use the AJX skill to run one trial with a fresh agent, verify the result, and show me the report and journey.
bash -o pipefail -c 'curl -fsSL https://github.com/royosherove/ajx/releases/latest/download/install.sh | bash' && export PATH="$HOME/.local/bin:$PATH"
macOS or Linux. The installer includes the skill. Your agent can read it directly; start a fresh session if the host needs one to discover /ajx. No GitHub login required.
Native CLI + Agent Skill. No Go toolchain or GitHub login.
Start with one attempt;
add matrix runs or CI checks when ready.