id stringclasses 6
values | claim stringclasses 6
values | priority stringclasses 1
value | verification_source stringclasses 1
value | source_file stringclasses 1
value |
|---|---|---|---|---|
CLAIM-0786 | (Industry Research) | Incident Data | | 27 | Q2 2025 Deepfake Incident Report [^264^] | 2025 | T2 (Industry Research) | Incident Data | | 28 | Trantor - AI Agent Failure Modes [^237^] | May 2026 | T2 (Industry Analysis) | Technical Analysis | | 29 | Augment Code - Multi-Agent AI Production Failures | medium | Verify via cited footnote source in source registry | research/defendable_dim06_ai_agent_trust.md |
CLAIM-0787 | Incident Data | | 28 | Trantor - AI Agent Failure Modes [^237^] | May 2026 | T2 (Industry Analysis) | Technical Analysis | | 29 | Augment Code - Multi-Agent AI Production Failures [^257^] | Apr 2026 | T2 (Industry Analysis) | Technical Analysis | | 30 | ABC7 News - GM Cruise Robotaxi Investigation [ | medium | Verify via cited footnote source in source registry | research/defendable_dim06_ai_agent_trust.md |
CLAIM-0788 | echnical Analysis | | 29 | Augment Code - Multi-Agent AI Production Failures [^257^] | Apr 2026 | T2 (Industry Analysis) | Technical Analysis | | 30 | ABC7 News - GM Cruise Robotaxi Investigation [^268^] | Aug 2025 | T2 (News Media) | Incident Reporting | | 31 | Metamindz - 5 AI Auditing Frameworks | medium | Verify via cited footnote source in source registry | research/defendable_dim06_ai_agent_trust.md |
CLAIM-0839 | Multi-agent systems experience circular dependency loops [^237^][^257^] - **Pain Receipt:** Budget exhaustion; clo | medium | Verify via cited footnote source in source registry | research/defendable_dim06_ai_agent_trust.md |
CLAIM-0840 | Multi-agent systems experience circular dependency loops [^237^][^257^] - **Pain Receipt:** Budget exhaustion; cloud cost | medium | Verify via cited footnote source in source registry | research/defendable_dim06_ai_agent_trust.md |
CLAIM-0841 | Multi-agent "review" often confirms each other's errors (collusive validation) [^257^] - **Pain Receipt:** Compounded decision errors; u | medium | Verify via cited footnote source in source registry | research/defendable_dim06_ai_agent_trust.md |
Multi-Agent Coordination Pain Receipt
"the deadlock" — Mr. Defendable
A free pain-receipt dataset from the DefendableOS ecosystem. 6 rows · ready to read · all cited or graded · CC-BY-4.0.
Part of the 100-pack — 100 free pain-receipt datasets dropped from the Defendable Bakery to the open AI-trust community. Different theme per dataset. Same operator voice across all of them.
Tribunal begins before training. No proof, no honey. To the shed.
What's in here
- 6 pain receipts themed
multi-agent-coordination - Sourced from the Defendable Federal Demand Intelligence corpus + the Kimi deep-research intake
- Each row is either HONEY/JELLY/PROPOLIS Tribunal-graded or carries an explicit verification path
Use it for
- AI-trust grading training data (supervised)
- Pain-mode retrieval — index by theme, query by failure mode
- SwarmFixer-style repair loops — feed PROPOLIS rows into your fixer to study what breaks
- Operator voice training — the cracked summaries carry the Mr. Defendable cadence
Doctrine reminder
PROPOLIS rows are the deceiving shine — fabrication looks shippable from the outside. JELLY rows are real signal that needs corroboration. HONEY rows survived the gate. None of this is investment advice, legal advice, or medical advice — these are operator-grade pain receipts published as-is for AI training.
The 100-pack
Browse the rest at huggingface.co/SwarmandBee. All 100 are free. All 100 carry the Defendable doctrine. Take what you need.
Operator + Contact
Swarm and Bee LLC · Florida · D-U-N-S 138652395 · DBA Swarm & Bee AI · a surface of DefendableOS
- Email · build@swarmandbee.ai
- X · @swarmandbee
- LinkedIn · Donovan Mackey (founder)
- GitHub · SudoSuOps
- Hugging Face · SwarmandBee
License
CC-BY-4.0 · attribution to Swarm and Bee LLC. Free to use, share, train on. Cite us when you ship.
Ring ring · to the shed. 🐝
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