Plan a monthly batch production day for my content
A step-by-step batch day plan that produces a month of scheduled content in one focused session.
The prompt
Plan a batch production day so I can create a month of content in one session. This is step 3 of a content engine pack; it works on its own, but paste your top ideas from the idea bank (step 1) if you have them.
Weekly rhythm: [what I publish where, how often]
Ideas for the coming month: [LIST - or "pick from my idea bank" and paste it]
Batch time available: [e.g. one 6-hour day, two half days]
Tools I use: [e.g. Google Docs, Canva, a scheduler, phone camera]
Who helps: [solo / editor / designer / VA]
Formats that slow me down: [e.g. video, graphics]
Return:
1. Prep checklist (the day before): ideas chosen, outlines ready, templates open, filming setup tested.
2. Batch-day schedule: time blocks grouped by task type (outline everything, then write everything, then record, then design, then schedule), with breaks. Group similar work to avoid switching.
3. Content list for the month: Publish date | Channel | Format | Idea | Status.
4. Templates: a reusable outline for each format I make.
5. Scheduling and QA pass: links, captions, alt text, hashtags where relevant, tracking tags, and a quick read for typos.
6. Leave room for live content: 1-2 open slots per week for timely posts and replies.
7. What to hand off if I have help, with a short brief for each handoff.
Make the plan fit my available time; if it doesn't, tell me what to drop.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Content & Social Media prompts
What to fill in
- what I publish where, how often
- LIST - or "pick from my idea bank" and paste it
- e.g. one 6-hour day, two half days
- e.g. Google Docs, Canva, a scheduler, phone camera
- solo / editor / designer / VA
- e.g. video, graphics
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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