Research
How AI models check each other, when automated oversight helps and when it gets in the way, and what changes when people hand work to AI agents instead of chatting with them. Papers by Vadym Chernets, an independent researcher who builds multi-AI systems, with short notes that take one question each. Everything here is free to read in full, and every paper has a PDF.
Latest
After the Programmer Divide: One Measure for People Who Build Through AI Agents
A measure in place of a job title for people who build through AI agents: the verified delegation horizon, amplification gain, and 41 predictions registered on OSF and scored yearly until 2031.
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Why multi-agent critics keep reviewing instead of shipping
Offered both options in one sentence, AI critics asked to add a control 68 times and to remove one once. What that means for review loops and token budgets.
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When guardrails block the defender, and the attacker had none
In July 2026 hosted-model guardrails refused incident responders' log analysis. The attacking agents had run with that class of guard removed by design.
Papers
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After the Programmer Divide: One Measure for People Who Build Through AI Agents
A measure in place of a job title for people who build through AI agents: the verified delegation horizon, amplification gain, and 41 predictions registered on OSF and scored yearly until 2031.
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Verification Theater: Measured Failure Modes of AI Verifier Panels
When agreement among AI verifiers stops meaning correctness: four measured failure regimes of verifier panels, from a pre-registered blind collection across sixteen models.
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Weakly Discriminative, Not Repaired by Profile Injection, and Manipulable: Self-Confidence in LLM Evaluation
Can an LLM's own stated confidence be trusted in evaluation? A pre-registered test across sixteen models: weakly discriminative, not fixed by profile injection, and manipulable.
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Guards That Add Guards: Automated Oversight in Multi-Agent AI
Oversight loops add guards and do not retire them. A field record from multi-agent AI, public incidents, and a 144-run randomized test that prices each remedy.
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After Chat: The Three Transitions Between Non-Programmers and Agentic AI
Why so few non-programmers have crossed from chat to AI agents, a four-level model of the crossing, and a preregistered programme that measures it.
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AI-Watchbird (Sheckley): When Automated Oversight Widens Its Own Mandate and Harms What It Guards
When AI guards overreach: guardrails and critics that widen what counts as harm, block the work they protect, and get answered with more guards.
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Agreement Is Not Independent Evidence: Auditable Multi-Model Synthesis Without an API
Why ten agreeing AI chatbots can be worth two independent opinions, and a free way to merge their answers that shows who said what and where they disagree.
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What Does 7 Downloads Mean? Metric Blindness and the Cold Start of Scholarly Attention After the SSRN Rankings Sunset
Your paper has 7 downloads. Is that normal? Compare it with papers of the same field and age, because the platform average describes no paper at all.
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Architectural Trust: Why Consumer Trust in Agentic Commerce Migrates from AI Models to Verifiable Architecture
When an AI agent buys for you, trust should rest on checks you can verify, like independent AI models agreeing, rather than on how confident one model sounds.
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The Missing Variable in AI-Assisted Litigation: Architecture and the Quality of Pro Se Access to Justice
Does it matter how a person without a lawyer uses AI in court? A federal case study of one chatbot versus several models that check each other before filing.
Notes
Short pieces, each on one question, each linked to the full paper it comes from.
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Why multi-agent critics keep reviewing instead of shipping
Offered both options in one sentence, AI critics asked to add a control 68 times and to remove one once. What that means for review loops and token budgets.
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When guardrails block the defender, and the attacker had none
In July 2026 hosted-model guardrails refused incident responders' log analysis. The attacking agents had run with that class of guard removed by design.
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"We have guards" is not a safety case
A list of guardrails shows a system is guarded, not that the guards stay bounded. The narrow claim a deployer can prove, and eleven questions to ask.
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A read-only auditor for AI-agent event logs
AI-Watchbird-Sheckley reads a multi-agent run's event log and reports nine oversight signals. It never blocks. What it measures, and what it does not.
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One weapon detector, two kinds of error
A school weapon-detection product missed a handgun in a shooting and months later flagged an unarmed student. What the public records say about two-sided error.
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What a school-bus recall says about remote oversight
Two separate school-bus records, a recall of 3,067 vehicles and a remote agent's 'No' in Austin, and what they say about where human oversight should sit.
Tools
Open-source tools, each explained in plain words, with the code on GitHub. All tools
Ask Multiple AIs at Once and See Where They Disagree
Ask Claude Code, Codex, Gemini and Grok the same question at once, compare their answers claim by claim and see what agreement is worth. Free, no API keys.
How Much Does AI Cost Your Company? Count It Before You Buy
Count what Claude, ChatGPT, Gemini and Copilot will cost your team, compare Claude Team with Enterprise, and track Claude Code spend. Free, open source.
ChatGPT and Claude Together on iPhone: One Answers, the Other Checks
Fact-check ChatGPT with Claude in one tap: a free iPhone shortcut where ChatGPT answers and Claude checks. Your own free accounts, no server, open source.
Claude Code for Pastors, Nurses, Teachers, Artists and Realtors: Free Kits
Free Claude Code kits for pastors, nurses, teachers, artists and realtors: they learn your rules and check three lines of every result against your paper.
Company Not Responding to Your Refund? Let AI Follow Up Until It's Done
Company not responding to your refund? Chasecall for Claude Code remembers the task, drafts each follow-up, counts attempts and says when to call. Free.
How to Reduce AI Costs: Pay a Model Only for the Decisions That Need One
Reduce AI costs on ticket triage and approvals: a cache, rules and a local model decide first, a paid model or a person only the rest. Free, open source.
How to Measure AI Productivity by Checked Work, Not Tokens
Turn a log of the work you hand to AI agents into one dated line for a résumé or review: how big a piece you delegate and verify. Free, open source.
AI for Court Documents: Catch Fake Citations Before You File
AI for pro se litigants: AIs from rival companies draft your filing blind, one merges, two check every citation. Free, open source, no API key needed.
Can You Trust AI Answers? Ask a Second AI From Another Company
Before you act on an AI answer, ask an AI from another company. Duocall quotes both where they agree and names every difference. Free, no API key.
Claude for Your Company: Your Own Plugin and the Same Rules on Every Laptop
Turn your team's frequent tasks into your own Claude plugin and put the same rules on every laptop through Jamf, Intune or the admin console. Open source.
Stop AI From Leaking API Keys, Card Numbers and Client Files
Free Claude Code plugin that stops API keys, card numbers, IBANs, ID numbers and client lists leaving in an AI message, and gives each kind of data a route.
AI Morning Summary of Your Email: Who Is Waiting for Your Reply
Free Claude Code plugin that reads your mailbox read-only and writes a morning summary: what matters, who awaits your reply, Google Alerts, newsletters.
Run Claude Code Overnight and Wake Up to a Report
Leave Claude Code working all night on one task: it keeps your computer awake, checks its own work, switches AIs when a limit hits, and leaves a morning report.
Control Claude Code From Your Phone and Leave the Computer Working
Leave Claude Code working at home and use your phone. Checks why remote sessions silently fail, shows every job on one screen and rings you when needed.
Free Claude Code Plugin Marketplace: 12 Open Plugins, Added With One Line
Free Claude Code plugin marketplace with 12 open plugins: file copies, second opinions, overnight work, mailbox summaries, AI cost control. One line adds it.
Ask ChatGPT, Gemini, Grok and DeepSeek the Same Question at Once
A free Claude Code plugin that asks several AI chat sites your question in your own Chrome and gives one report: where they agree, disagree and who said what.
Run Claude Code on a Cheaper Model Without Losing Your Phone Remote
Use DeepSeek, GLM, Kimi or a local model in Claude Code for routine work in its own window, and keep your Claude seat, Remote Control and advisor. Free plugin.
Undo Button for Claude Code: Back Up Your Files Before AI Changes Them
A free Claude Code plugin for non-programmers: it copies a file before the AI changes it, puts it back on request, and says what was and was not checked.
Get a Second Opinion on Claude Code's Answer From Codex, Grok and Other AIs
A free Claude Code plugin that asks Codex, Antigravity, Grok or Kimi the same question through your own subscriptions and shows where they agree and differ.
Is My SSRN Download Count Good? A Free Benchmark by Paper Age and Field
Check whether your SSRN download count is normal. Free tool built from 1,360 archived SSRN papers, with percentiles by paper age and subject field.
How to Get Your Team Using AI Agents: a 30-Day Pilot Plan
Bring colleagues from the AI chat window to working agents in 30 days: a pilot plan, a 20-minute first session, a daily card in Telegram, a report with numbers.
New papers and notes by RSS.