How to Build a 2-Prompt AI Workflow to Turn Loom Videos into Agency SOPs

To turn raw Loom recordings into agency SOPs, run your unscripted video transcript through a 2-prompt AI processing chain. Prompt 1 strips out filler dialogue, transcribes rambling verbal explanations into linear chronological actions, and flags missing prerequisites. Prompt 2 takes that raw operational output and converts it into a standardized agency SOP document complete with video timestamps, step-by-step instructions, and quality control checklists. This workflow creates documented procedures in under 5 minutes without requiring manual writing.

The Bottleneck of Unscripted Process Recording

Recording screen walkthroughs is the fastest way for agency operators to capture operational knowledge. However, raw transcripts created from unscripted video recordings are disorganized. They contain conversational filler, background noise, side thoughts, and broken sentences that confuse employees trying to follow written procedures.

Software tools help bridge the gap between video and written documentation. Features inside Loom AI generate titles, summaries, and basic documents directly from recorded videos. Third-party documentation converters like Trails turn Loom uploads into editable steps with screenshots and structured guides in minutes. Without a structured prompting strategy, basic artificial intelligence summaries skip operational nuances, technical prerequisites, and critical decision logic. Processing raw transcript text through a targeted 2-prompt sequence ensures verbal walkthroughs become precise agency standards.

Prompt 1: Raw Transcript Cleanup and Step Extraction

Prompt 1 acts as a operational documentation auditor. It accepts unedited transcript text from your recording platform, eliminates conversational chatter, and converts loose verbal explanations into structured chronological actions.

Paste your raw transcript text directly under this prompt instructions block:

System Role: You are an expert agency operations analyst.

Task: Analyze the provided video transcript and extract the core operational workflow. Remove all conversational filler, tangents, introductory remarks, and redundant explanations.

Output Requirements:

1. Prerequisites: List every account, tool, permission level, and asset required before starting this task.
2. Primary Objective: Write a 1-sentence summary defining the target outcome.
3. Chronological Action Steps: Extract every specific technical action mentioned in the video. Format each step as an active operational directive starting with an imperative verb.
4. Conditional Rules: Identify any 'if/then' logic, decision branches, or warnings mentioned by the speaker.
5. Flagged Gaps: Note any implied steps that the speaker performed on screen but failed to explain verbally.

To execute this documentation workflow across your organization, follow these 5 steps:

1. Export the raw text transcript from your video recording platform
2. Paste Prompt 1 into your AI model alongside the unscripted transcript text
3. Review the extracted step list to confirm no technical actions were omitted
4. Copy the structured step output into Prompt 2 for final formatting
5. Paste the final output into your team knowledge base or workflow system

Prompt 2: SOP Standard Formatting and Quality Verification

Prompt 2 takes the extracted operational steps from Prompt 1 and formats them into a standardized agency operating procedure. It establishes uniform document metadata, clear section headers, visual callouts for errors, and definition of done criteria.

Paste the output from Prompt 1 into this formatting prompt:

System Role: You are a senior process architect for service agencies.

Task: Take the extracted steps and structure them into a formal Standard Operating Procedure (SOP).

SOP Structure Requirements:

- Metadata Block: Title, Category, Role Responsible, Estimated Execution Time, and Video Link Reference Placeholder.
- Purpose & Scope: Who executes this process and when it must be performed.
- Required Inputs & Access: Software subscriptions, credentials, and prerequisite files.
- Step-by-Step Execution Guide: Numbered instructions grouped by logical phase. Include formatted callouts for common mistakes or warnings.
- Definition of Done: A clear checklist confirming the task was executed correctly.
- Revision History: Log section for date and editor tracking.

If you use platforms like Trainual to store operational documentation, running transcript text through this prompt workflow standardizes your formatting before publishing. You can evaluate whether dedicated documentation platforms fit your team by reading Is Trainual worth it?.

Standardizing Agency Workflow Documentation

Combining video walkthroughs with written instructions improves execution speed across client operations. Video recordings show exact interface clicks, while structured text gives team members a searchable reference document during daily work. According to a process documentation guide by Lifehack Method, pairing Loom recordings with AI-generated written instructions creates clear documentation that includes direct timestamps and linkable video references.

Instead of paying for software that records browser clicks automatically, a custom AI prompt stack processes transcript text from any video recorder. Operators considering specialized process-capture platforms can read Is Scribe worth it? to evaluate feature sets against custom prompt chains.

To maintain operational consistency across all automated systems, agencies can also learn to Centralize Your AI Knowledge Base Across Every Agent.

Operational Quality Rules for AI Prompt Chains

Maintain high technical standards across all generated procedural documents by applying these structural rules:

• Require clear input parameters and completed outputs for every operational step
• Document specific system permissions, administrative roles, and user access requirements
• Standardize technical instructions using active imperative verbs
• Mandate concrete definition of done criteria for task verification
• Insert timestamp markers for complex visual interface actions

The 2-Prompt Loom Video to Agency SOP Prompt Stack is in Sell More Resources.

Who this is not for

This workflow is not for organizations that require automated browser click tracking and DOM element recording without capturing human video context. It is not for teams that operate without video recording tools or refuse to record screen walkthroughs for standard tasks. Organizations with strict privacy policies that prohibit processing internal operational text through cloud-based language models should also skip this workflow.

FAQ

How long does it take to transform a Loom transcript into a final SOP using this method?

The entire conversion process takes under 5 minutes once you have recorded the video. Extracting the transcript takes seconds, running Prompt 1 requires roughly 30 seconds of processing time, and Prompt 2 formats the final document immediately. Reviewing the text to confirm accuracy and inserting screenshot images takes another 2 to 3 minutes. This workflow eliminates the hours usually required to draft procedural documentation manually from scratch.

What should I do if the AI model misses an important technical step during extraction?

If the language model skips a step, update the raw transcript text with a brief note describing the missing action before running Prompt 2. Alternatively, adjust Prompt 1 to mandate extra emphasis on menu navigation or background software configuration. Because the initial prompt isolates raw actions from conversational clutter, adding missing technical steps into the intermediate text takes only a few seconds before generating the final standard operating procedure document.

Can I use this prompt workflow with screen recording platforms other than Loom?

Yes, this 2-prompt workflow functions with transcript text generated by any video recording platform. Whether you use Zoom, Fathom, Descript, OBS, or native operating system screen recorders, the system processes raw text files identically. The AI model relies entirely on the written transcript text provided in the prompt input, making the underlying recording software irrelevant to the final documentation quality.

Do I need a paid AI account to run these process generation prompts effectively?

While free model tiers can process basic transcripts, paid subscriptions to major AI providers yield superior document formatting and tighter adherence to complex system prompts. Large context window models handle long video transcripts without truncating steps or hallucinating missing details. Using advanced models ensures that multi-step software instructions, conditional branches, and technical prerequisites remain accurate throughout the generated procedural document.