Public Evidence Lab / Dossier O-2055
Collected sample: 9 independent content items across 1 source families. Known publication dates: 2026-07-10 — 2026-11-01.
First seen 2026-07-10 · Last updated 2026-11-05 · Recalculated daily
These observations describe collected samples, not platform-wide prevalence; they cannot establish whether a problem is widespread or accelerating. Collection scope changed on 09-16 and 09-27; monthly counts must not be read as trends.
Post title: How can I optimize my Claude Max Accounts
I have been using max 200$ plan for development bu…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: building a solo game with 9 AI-assisted workstreams. how would you actually orchestrate them?
I'm considering a small durable job system with de…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: What tooling do you use for a cloud-based, multi-user AI software factory?
How does someone launch a task, follow its progres…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Why do agent guardrails and permission mapping fall apart once agents call other agents?
Straightforward IAM gets messy fast once agents st…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: [TLDR] How do you actually orchestrate your AI agents? [via r/ClaudeAI]
Do you have some simple way of orchestrating multi…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: The biggest challenge for AI agents might be coordination
I’ve been experimenting with multiple AI agents wo…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Is anyone else finding agent harnesses less efficient than just using one strong agent + an orchestrator?
I keep running into: Context getting lost between …
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
This dossier already carries first-hand payment evidence. What it still cannot tell you: market size, how reachable these people are, or what it costs to acquire them.
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Scoring summary
Evidence confidence = strength × evidence volume × source diversity × payment × competition × trend × 10. Counts use independent content items; only first-hand pain, current spend, explicit willingness to pay and concrete feature requests affect the score. Repeated posts by one author are discounted. Scoring and status changes follow deterministic rules.
“Payment-backed” means first-hand payment evidence exists in the record. It does not mean the business is worth building. “Fading” is a recency tag shown alongside any evidence level, not a lower level. Read the full methodology.