A Prompt Is Not the Project History
AI answers often disappoint for a simple reason: the question arrived without the history that gives it meaning.
You can write a detailed prompt today. It still may not include the decision made six weeks ago, the customer objection heard twice, or the constraint discovered during an earlier test. If that information was not retained, an AI cannot recover it from a clever instruction.
A prompt asks for work. Context supplies the ground beneath it. “Prepare a project handoff” is a prompt. The objective, prior decisions, constraints, failed approaches, unresolved questions, and dates are context.
More context is not always better. A large unfiltered dump can introduce obsolete decisions, unrelated topics, private information, and contradictions. The useful skill is selecting enough relevant material for the job while leaving out what does not belong.
Native AI projects and memory may already solve part of this problem. They are convenient when work stays inside one provider. A separate context file serves a different purpose: you choose the source material, can inspect it, and can provide the same snapshot to another tool. The file does not remember or update itself.
Collect useful facts while work is happening. Ask the AI question when the job becomes clear.
Build the Context Before You Need the Answer
- Save one useful observation, decision, instruction, or constraint when it occurs.
- Add a stable primary tag for the subject. Use a secondary tag when a narrower slice may matter later.
- Continue saving related facts over time.
- Before asking an AI question, select only the context relevant to that question.
- Remove sensitive, stale, or unrelated material.
- Manually provide the selected file or text to an external AI tool.
- Ask a grounded question that requires citations to the supplied material, exposes uncertainty, and avoids invention.
If the source material is missing, pause. An AI can organize, compare, or question what you provide. It cannot create a reliable history of events it never received.
Three Ways Accumulated Context Becomes Useful
1. Reconstruct a project decision history
A website migration has produced small facts over several months:
- 2026-06-12: Keep the existing checkout provider for launch. Migration risk is higher than the expected fee savings.
- 2026-07-03: Redirect test failed for uppercase legacy URLs. Add explicit cases before launch.
- 2026-07-28: Support reported delayed account emails for addresses on one domain.
- 2026-08-14: Launch moved until redirect coverage and email delivery are verified.
Save each as a Skip with WEBSITE MIGRATION as the primary tag. Add secondary tags such as DECISION, BUG, or CUSTOMER IMPACT. When a handoff or status review is needed, export `WEBSITE MIGRATION`, optionally narrowed to `DECISION`.
Manually provide the Markdown file to ChatGPT, Claude, Gemini, NotebookLM, or another tool that accepts it. Ask the tool to reconstruct the timeline, cite Skip numbers and dates, separate decisions from open questions, and flag conflicts. The AI performs the analysis. Pulse supplies the selected record.
2. Find patterns in customer observations
Suppose these observations arrive across calls and support work:
- Customer copied the order number into Notes because the confirmation screen disappeared too quickly.
- Two-person shop wants a printable end-of-day exception list, not another dashboard.
- Customer understood the status label but did not know who should act next.
- Owner checks unresolved orders from a phone after closing.
Save them under ORDER WORKFLOW, with secondary tags such as CUSTOMER OBSERVATION and MOBILE. Later, export the relevant group and ask an external AI tool to cluster repeated problems, quote the supporting Skips, count distinct observations, and keep hypotheses separate from evidence.
Four observations do not prove market prevalence. They can expose a question worth validating without forcing you to reconstruct every conversation from memory.
3. Reuse working instructions across AI tools
A useful instruction set may contain several pieces:
- Use sentence case for headings.
- Do not invent metrics when the source is silent.
- Product descriptions must distinguish free text capture from paid AIR transcription.
- When reviewing a draft, list factual conflicts before stylistic preferences.
- A short example of an acceptable final answer.
Save these as Skips under WORKING INSTRUCTIONS, with secondary tags for WRITING, PRODUCT FACTS, or a specific project. Export the focused set when starting work in an external AI tool. Ask it to summarize the relevant instructions, flag conflicts, identify missing information, and then complete the current task.
This is not one-click prompt management. Pulse does not insert text into a chat, fill variables, or synchronize instructions automatically. It provides a portable, inspectable source file.
Where Pulse Fits
GetSkipa Pulse saves small pieces of plain text. Text typed in Pulse Pad, or text already copied to the clipboard, can be saved, tagged, searched, and copied later. Basic text functionality is free.
AI Context Export creates a point-in-time Markdown file from saved text under one primary tag. You can optionally narrow it with one secondary tag and include archived items. The export requires an authenticated online Google Drive connection, has a 5 MB limit, and must be created in Drive before the identical local download becomes available.
Pulse does not analyze the file, automatically send it to an AI provider, or maintain AI memory. You manually decide whether to give the file or its text to another service. That service's pricing, privacy practices, upload rules, context limits, and response quality are separate from Pulse.
For exact controls, see the Pulse User Guide. If the material begins as an unfinished thought, see how to save an idea before it disappears or do a low-friction brain dump. The guide to speech-to-text notes explains where short live voice transcription fits.
Choose Context Deliberately
Before providing an export to an AI service:
- Confirm that every included Skip belongs to the task.
- Exclude private or regulated information unless use with that service is authorized.
- Look for outdated instructions and superseded decisions.
- Narrow the export when unrelated material would distract from the question.
- Remember that a Pulse export is a snapshot and does not update automatically.
- Ask the AI to cite supplied Skip numbers, distinguish evidence from inference, and say when the context is insufficient.
NotebookLM is one possible destination when you want to work from selected sources. Treat the Pulse export as a manually supplied snapshot. Pulse does not connect to NotebookLM or keep a NotebookLM source synchronized.
Use a Grounded Prompt
These three starters show the pattern. The downloadable pack includes seven complete prompts for project briefs, decision histories, customer patterns, handoffs, contradiction checks, working instructions, and gap analysis.
Project brief
Use only the attached context as the factual source. Create a concise project brief covering the objective, current state, decisions, constraints, open questions, and next actions explicitly supported by the context. Cite the relevant Skip number and date for every important statement. Separate source facts from inference. If something is missing, write "Not established in the supplied context."
Customer patterns
Analyze the attached customer-observation context. Group repeated problems by the customer's underlying job or obstacle. For each group, cite Skip numbers and dates, count distinct observations, show contradictory evidence, and list unanswered questions. Do not estimate prevalence beyond this sample or turn one comment into a trend.
Contradiction check
Audit the attached context for contradictions, changed decisions, and stale assumptions. Show the earlier and later statements with their Skip numbers and dates. Classify each as a contradiction, update, or unresolved ambiguity. Do not resolve a conflict that the source does not resolve.
Frequently Asked Questions
Does Pulse give ChatGPT context automatically?
No. Pulse creates a Markdown file from the tags you select. You decide whether to upload the file or paste its text into ChatGPT or another service.
Is AI Context Export the same as AI memory?
No. It is a point-in-time, user-selected snapshot. It does not remember conversations, update itself, or decide what an AI should recall.
Can I use the export with tools other than ChatGPT?
Yes, if the destination accepts the file or pasted text. Pulse does not bind the export to a specific provider. The destination's own limits and policies still apply.
Is AI Context Export free?
Core Pulse text functionality, including AI Context Export, is free. Creating an export requires an authenticated online Google Drive connection. AIR is an optional paid voice input method. Any external AI service may have separate charges.
Can I choose individual Skips?
Not currently. An export requires one primary tag, can be narrowed by one secondary tag, and can optionally include archived Skips.
Does more context always produce a better answer?
No. Relevant and current context is more useful than an indiscriminate dump. Remove unrelated, sensitive, duplicated, or obsolete material first.
Try a Small Export
Save a few related facts under one stable project or topic tag. Create an export, review what it contains, and manually provide it to an AI tool only if it is relevant and appropriate to share. Text features and AI Context Export are free. AIR is optional and paid.