Are Most AI Agents Solving Annoying Problems Instead of Expensive Ones?
Few-Garlic2725 · reddit · 2026-10-21
A Redditor distinguishes tasks people dislike from problems people pay to remove, arguing many agent ideas (inbox cleanup, meeting notes, summaries) target annoyance, not budget. The hard question: where does annoyance become willingness to pay? Asks builders which workflow pains have real budgets and which use cases are too weak to bother with.
More from coding & agent
- 90% of big-company knowledge lives in heads, and "company brain" startups are in for pain — gabriel1 · 2026-10-21
- EAU: Co-evolving user simulator, environment, and RL setup for training LLM agents — UAlberta · 2026-10-21
- Meta's Self-Credit: Dense Rewards from Sparse RLVR via Intra-group Rescaling — meta · 2026-10-21
- Notion details its Auto model router: Elo-based evals, 62-93% cheaper than flagship models — ivanhzhao · 2026-10-21
- Dev sets up automation so agents proactively pick up stale issues and PRs — vikvang1 · 2026-10-21
- Tamper-proof agent logs still can't prove the agent did the job: who reads the record back? — ZealousidealAct9661 · 2026-10-21