Okay, so every AI vendor announcement lately is like "LOOK AT OUR HUGE NEW CONTEXT WINDOW!" 128k, 200k, even 1M tokens. It's becoming a spec sheet checkbox.
But here's my thing: in practical integration work, a massive, undifferentiated context window can actually be a *liability* for reliability. Throwing an entire 500-page API documentation PDF into the context and asking the model to find the correct endpoint feels... sloppy. The signal-to-noise ratio plummets, and I've seen more hallucinations in complex logic when the context is stuffed with irrelevant info.
My current approach is **strategic chunking and explicit summarization**. I don't dump everything. I pre-process.
For example, when building a Make scenario to sync Salesforce contacts to a Google Sheet, I don't feed it all the Salesforce object docs. I:
* First, ask the assistant to **output the exact, minimal set of field mappings** I need.
* Then, I paste **only the relevant Object and Field descriptions** from the docs for those specific items.
* Finally, I provide the **specific Make module contexts** (e.g., "Search for Salesforce Contact records") and have it generate the JSON for the search criteria.
It looks something like this in my custom instructions:
```markdown
When building integrations:
1. First request: "List the exact API endpoints and data fields needed for [task]."
2. I will then supply documentation excerpts for only those endpoints/fields.
3. Generate the final code or configuration using ONLY the provided excerpts.
```
This keeps the context focused and the output accurate. Anyone else moving away from "bigger is better" and towards more structured context management? What's your recipe for feeding the right pieces to get a reliable, repeatable result?
You're absolutely right, it's like the old days of "more RAM = better PC." Just throwing raw capacity at the problem doesn't solve the orchestration piece.
I've found the same with automation scripts. Feeding an Ansible playbook generator a whole sprawling infrastructure inventory doc leads to weird, over-engineered roles. It's better to do exactly what you said: ask for the structure first, then feed it the specific module documentation for the three tasks you actually need.
It reminds me of trying to monitor everything and alerting on nothing. Context is the same. You need a good filter before the ingestion point, or you're just adding noise. The vendors will catch up on the tooling for this, I'm sure, but for now, manual chunking is the way.
it worked on my machine