How to Use Strong Workout Template Checklist from Gym Log Inventory (No Invented 1RMs)

This guide shows how to run the PromptDig prompt Strong Workout Template Checklist from Gym Log Inventory (No Invented 1RMs) from a locked source packet so you get a usable draft without invented citations, stats, or identifiers. The prompt is built for ChatGPT, Claude, and Gemini. Open it on PromptDig, paste your Inputs, and keep every claim auditable.

What this prompt is for

The job titled Strong Workout Template Checklist from Gym Log Inventory (No Invented 1RMs) is a narrow domain workflow. It asks the model to work only from your Inputs, mark gaps as NOT IN INPUTS or UNKNOWN, and refuse to invent evidence. That matters when you need a first draft that a human can audit against a packet, not a polished story with fake footnotes. Goal: Turn a Strong gym-log inventory into a workout template checklist only. No invented 1RMs, set counts, or plate loads beyond the inventory.

Strong uses Templates, Exercises, Sets, LiftNames, and RepSchemes rather than a generic workout dance. Lock Version so the checklist does not claim unreleased AI coach APIs. Paste gym-log inventory stubs and MuscleGroups only. If 1RMs are missing, write NOT IN INPUTS instead of guessing plate loads.

Before you open the model

1. Gather the Inventory packet you will lock (notes, requirements, outcomes, inventory lines, or baselines). Prefer plain text you can paste.
2. Lock Version for the tool named in the title. If unnamed, write unknown.
3. List Banned words and a Never invent list that matches the title boundary (no invented rates, IDs, scores, or owners).
4. Choose Format and Language. Keep Extra fields UNKNOWN if you do not have an escalation path yet.
5. Confirm the deliverable boundary matches the title so the model does not drift into captions, exam dumps, or advice.

Step-by-step run

1. Open Strong Workout Template Checklist from Gym Log Inventory (No Invented 1RMs) on PromptDig and copy the prompt text.
2. Replace every [bracket] field with your real Inputs. Do not leave sample nouns in place.
3. Paste into your model of choice. If the model starts inventing, stop and restate the Never invent list at the top of a follow-up.
4. Read the honesty ledger first. Confirm Version, Workspace, SpecNames, Lang, and Forbidden items match what you locked.
5. Accept only the map or checklist rows that quote Inventory nouns. Anything that cannot be traced should be cut or marked NOT IN INPUTS.
6. Use the gaps list as your homework. Fill those five owed fields before a second pass.
7. Run the compliance pass: quote Banned and Never hits, cut them, and print counts when Cap is numeric.

Quality checks

• No invented citations, DOIs, CTR, attendance, reviews, nutrition facts, part numbers, scores, or owners.
• No emojis in the deliverable unless your Format explicitly allows them.
• Version lock honored; refuse newer tool features than the Version you named.
• SpecNames only; unnamed items stay NOT IN INPUTS.
• Gaps list has five concrete owed fields, not vague advice.

Related PromptDig links

Browse more prompts on the Browse more prompts page when you need adjacent jobs. If you built a better variant, Share a prompt so others can reuse it. Keep returning to Strong Workout Template Checklist from Gym Log Inventory (No Invented 1RMs) when this exact deliverable is what you need.

Use this prompt when you want a structured first pass that stays faithful to a locked inventory. Keep the model inside the job boundary named in the title. If you need a different deliverable, pick another PromptDig prompt rather than stretching this one. After you fill the gaps list, rerun with only the new Inputs. That habit keeps drafts short, auditable, and ready for human review without invented evidence.

Keep every claim auditable against Inputs. Prefer short sections over fluff. If a field was blank, write NOT IN INPUTS rather than guessing. Lock any tool version named in Inputs; if unnamed, write unknown. Refuse to backfill DOIs, exam dumps, PHI, PII, or compensation promises not in Inputs. Character and byte caps in the job are hard; print counts when relevant. End every pass with the five-bullet gaps list so the next human edit has a clear queue. When you rerun, paste only the missing Inputs rather than rewriting the whole brief. A second pass should shrink invention risk, not expand scope into captions or advice.