Project context
A one-screen AGENTS.md and two rules the agent sees before you assign the task. One chat per task.
A printable PDF instruction from the webinar Working with AI Tools at the User Level. Pick one task from your backlog, follow six steps with checkboxes and ready prompts, fill in the result card. Written for any agent: Explyt, Claude Code, Codex, Cursor.
One email with the PDF, then up to two follow-ups. No sales calls.
Check your inbox: the PDF is on its way.
While you wait, pick a task: it has a ticket, it's testable, it touches 2–10 files, and a mistake is cheap.
You own the checkpoints. The agent does the work in between. Each step has checkboxes and a prompt you can paste as is.
A one-screen AGENTS.md and two rules the agent sees before you assign the task. One chat per task.
The agent drafts task-01.md from a template: context, goal, requirements, out of scope, acceptance criteria. You approve it.
Failing tests from the acceptance criteria, committed separately and closed to the agent before implementation starts.
One prompt with hard limits: ten test runs, three review rounds, then a report of what is fixed and what is still open.
Test diff first, reviewer report second, code diff against the requirements third, your own test run last.
What the agent misread goes into AGENTS.md or a rule; a repeated manual step becomes a skill; project gotchas go into memory.
Plus: result card, symptom-based troubleshooting, and a when-to-use-what table. 8 pages.
Sergey Pospelov from the Explyt team ran the session on 28 September 2026. The instruction condenses the slides, the live IDE demo, and the guide into steps you can follow on your own project.
Five chapters and key terms: methodology, SDD and TDD, feedback loops, subagents and worktrees, personal setup. With the full task-01.md example and a 30-minute checklist.
Open the guide →What was said and shown, with frames from the live demo: a rule, a skill that did not load at first and why, agent onboarding, and Memory Bank in action.
Read the notes →