Every AI coding session has a moment of maximum leverage, and it is not the moment you accept the diff. It is the first message. Whatever the agent reads first becomes its mental model of the task — the scope, the constraints, the definition of done. Get that wrong and every following message is a correction.
And yet the most common first message in the industry is a raw paste: a Jira ticket written for a human who already has context, a Slack thread where the actual requirement is buried in message 14 of 32, a bug report that says "doesn't work on mobile" and nothing else.
Why raw tickets fail as prompts
Tickets are written to coordinate humans, not to instruct agents. They assume shared context ("like we discussed in standup"), they mix decisions with discussion, and they almost never state acceptance criteria explicitly. An agent reading one has to guess at all three — and agents are confident guessers.
- Missing scope — the agent doesn't know what *not* to touch, so it refactors things you never asked about.
- Implicit done — without acceptance criteria, the agent decides for itself when it's finished. Usually too early.
- Buried constraints — "must stay backwards compatible" in a thread reply is invisible; in a structured file it's a hard gate.
- No verification plan — the agent writes code but doesn't know which command proves it works.
What Task mode does instead
Task mode on MDPilot takes anything — ticket, thread, voice-note transcript, half a spec — and restructures it into a TASK.md: objective, scope and non-scope, acceptance criteria as checkable items, watch-outs, and an agent prompt block at the bottom designed to be the literal first message you paste into Claude Code, Cursor, or Copilot.
The generation runs a gap check while it writes: if your input never mentions how to verify the change, the output flags it instead of inventing one. If scope is ambiguous, the file says so explicitly — an honest "unclear, confirm before starting" beats a confident hallucination.
Three execution modes
- Developer guide — written for a human engineer: context first, reasoning explained, tradeoffs visible.
- AI Exec — written for an agent: imperative, plan-first, with verification gates between steps.
- Context drop — a compact context file for when the agent already has the task and just needs the background.
AI Exec mode bakes in a plan-first directive: the generated prompt opens by instructing the agent to write a 3–5 line plan and check it against the watch-outs before touching any file. That single instruction eliminates a whole class of "the agent sprinted off in the wrong direction" failures.
The workflow
1. Paste your ticket/thread at mdpilot.in/task (≥ 20 chars, no account)
2. Pick the execution mode
3. Generate — 5 to 15 seconds
4. Copy the Agent Prompt block
5. Paste it as the FIRST message in your AI tool