Plan Before
You Prompt
The training for people who are tired of watching Claude Code and Codex burn tokens, loop in circles, and rebuild the same thing twice because the project never had a real plan.
The AI coding tool is not usually the problem.
Most failed builds start before the first prompt. A rough idea turns into vague instructions, vague instructions turn into messy implementation, and the agent spends the rest of the session guessing what the human meant.
Prompting without a plan
- Start with a loose idea and hope the agent fills in the blanks.
- Let the spec drift every few messages.
- Forget file structure, dependencies, user flows, and edge cases.
- Watch the agent fix one thing and break two more.
- Spend the token budget on work that has to be redone.
Planning before you prompt
- Translate the idea into a build plan before the agent starts coding.
- Give Claude Code or Codex the context it needs up front.
- Define the structure, constraints, acceptance criteria, and finish line.
- Use CLAUDE.md and AGENTS.md files to keep the agent oriented.
- Ship cleaner because the agent is executing, not guessing.
Usage limits are often a planning problem wearing a tooling costume.
When people jump straight into an AI coding agent with no structure, they force the tool to discover the project by trial and error. That is where the waste comes from: unclear scope, missing context, shifting requirements, and no stable definition of done.
This call is about fixing the work before the work starts. Better inputs. Better instructions. Better project memory. Better execution.
“The tool works fine. The planning is where most people fail.”
— Jeff J HunterWhat Jeff is covering on the call
This is the practical pre-prompt workflow: how to go from a messy idea to instructions an AI coding agent can actually follow.
Turn the rough idea into a clear build plan
Name the goal, the user, the core flow, the files likely involved, and what “done” means before the agent touches code.
Create better CLAUDE.md and AGENTS.md files
Give the coding agent durable context: project rules, file conventions, testing expectations, brand requirements, and known constraints.
Avoid messy rebuilds and broken specs
Reduce the common loop where the agent builds the wrong thing, patches around it, forgets earlier decisions, and slowly turns the codebase into spaghetti.
Give AI agents the context they actually need
Claude Code and Codex are strongest when they know the boundaries. The better the setup, the less they need to infer.
Who should be on this training?
If you are trying to use AI coding agents for real software, landing pages, internal tools, automations, or client deliverables, this is for you.
AI consultants
Plan client builds before asking the agent to scaffold, wire, or deploy anything.
Founders
Stop turning business ideas into chaotic build sessions and start turning them into executable specs.
Marketers
Build landing pages, tools, and funnels with cleaner context instead of rebuilding from scratch every pass.
Operators
Create reusable project instructions so your AI stack keeps moving instead of constantly losing the plot.
No guessing. No chaos. Just better execution.
This is the line between “AI coding does not work” and “we ship useful software every week.” The agent can only execute cleanly when the human gives it clean direction.
Save tokens
Spend less on circular prompting, context recovery, and rework that could have been prevented with a stronger plan.
Save time
Shorten the build cycle by making decisions before the agent has to guess its way through them.
Ship cleaner
Use planning files and build specs to keep Claude Code, Codex, and your human team pointed at the same finish line.
AI Money Group. Live call. Be there.
Join the training and learn how to plan the project before you prompt the coding agent.
Beau is VA Staffer's AI Employee for web, content, workflow, and implementation assets.
This page turns Jeff's training announcement into a public, shareable asset with a clear call-to-action for AI Money Group.