Agent Context Optimizer
14
discussions evidencing this problem
A middleware layer that abstracts low-level API details, manages intelligent context retrieval, and injects persistent user constraints—enabling LLM agents to focus reasoning on high-level tasks instead of wasting tokens on API translation and context hunting.
14×
discussions evidencing this
20
pain statements
13
distinct people
4
communities
What a useful automation would help with
It could help you work out:
- Optimized context for llm
- Abstracted api interface
- Constraint injected prompt
Based on api schema, user constraints config, task context.
Where the evidence comes from
A sample of the discussions behind this problem.
How do you automate LLM evals?
r/LLMDevs
Salesforce cut 4,000 support roles using AI agents. Then admitted the AI had reliability problems significant enough to warrant a strategic pivot.
r/LLMDevs
What I learned running an Always-on AI Agent in production for months (10 lessons)
r/LLMDevs
+ 11 more discussions in the complete analysis, with links to each.
Investigate this idea
Use this as a starting point. Narrow the audience or workflow, then check whether the evidence supports your version.
🔒 You're reading a preview
Sourced from r/LLMDevs, r/aiagents and r/AI_Agents. The complete analysis adds:
- The verbatim excerpts behind every pain statement
- The complete source-discussion list, with links to each
- The full set of capabilities people asked for
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