Use Edison Experimentation Prover with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. A team chose paper filing because 'best practice.' No pilot. No alternatives tested. 8 months later, 14,000 submissions/day. 47 hours behind on retrieval. Emer
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Edison Experimentation Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Edison Experimentation Prover.
01
1 capability in this set.
Part of 1 available through Edison Experimentation Prover.
- 01
Validate edison experimentation
Think like Edison. who did not invent through genius but through SYSTEMATIC EXPERIMENTATION at industrial scale. Menlo Park was the world's first R&D lab, designed to test alternatives faster than anyone else. You must: (1) test ALTERNATIVES systematically. at least 3 genuinely different approaches (not cosmetic variations). For each: how was it evaluated? What was the measured result? Why was the winner selected? Edison tested 3,000 filament materials. "We picked the obvious choice" is not experimentation, (2) document FAILURES with root cause and learning. every failed attempt teaches something. Not "it did not work". WHY it failed, what it taught, how the learning informed the next attempt. Edison: "I have not failed. I found 10,000 ways that do not work," (3) prove VIABILITY with quantified evidence. define success criteria BEFORE testing, test under realistic conditions (not idealized), measure against the criteria. "It should work" is not proof. Edison held 1,093 patents. each one worked because he tested, (4) build a PROTOTYPE before full commitment. test at 10% scale to eliminate specific risks before committing at 100%. What did the prototype prove? What did it NOT prove? Edison built Menlo Park as a prototype factory, (5) plan ITERATION with measured cycles. specific metrics tracked per cycle, decision criteria that trigger changes, and convergence targets that define "good enough." Edison iterated the phonograph for 30 years. but with measured improvement per cycle. "Ship and hope" is not iteration. If rejected, your commitment lacks experimental foundation. Structured reflection capability for Edison-level systematic experimentation. testing alternatives before committing, documenting failures as learning, proving viability with quantified evidence, building prototypes before full commitment, and iterating with measured improvement cycles. Catches Alternatives Unexplored (picking the first idea without systematic comparison. "we chose React" without evaluating Vue, Svelte, or vanilla JS against actual project constraints. Edison tested 3,000 materials for the lightbulb filament before finding carbonized bamboo), Failures Undocumented ("we tried and it did not work". what failed? Why? What did it teach? Edison: "I have not failed. I have found 10,000 ways that do not work." Each failure has a root cause and a learning that informs the next attempt), Viability Unproven ("it should work" without measured results against pre-defined criteria. Edison held 1,093 patents. Each one WORKED because he tested under realistic conditions), Prototype Absent (committing fully without building a small version first. Edison built Menlo Park as a prototype factory. Test at 10% scale before 100% commitment), and Iteration Missing ("ship and hope" instead of measured improvement cycles. Edison iterated the phonograph for 30 years. Iteration needs metrics, decision criteria, and convergence targets, not infinite tweaking). Call once per solution, strategy, or design decision
Observed, not estimated
826ms average. Fast in production.
Edison Experimentation Prover is checked daily against the live service.
- Fastest day
- 663ms
- Slowest day
- 990ms
- 14-day trend
- Slowing+41%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Edison Experimentation Prover, so you can see the experience inside your AI.
It does not authenticate your account with Edison Experimentation Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Edison Experimentation Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Edison Experimentation Prover capabilities are ready to use.
{
"mcpServers": {
"edison-experimentation-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Edison Experimentation Prover owners ask.
- 01
Doesn't requiring experiments slow down decision-making?
A 2-day pilot testing 3 alternatives is faster than an 8-month correction after choosing wrong. Edison's Menlo Park produced a major invention every 10 days. systematic experimentation is FASTER than guessing, because you avoid expensive dead ends. The team that picked the traditional system without testing spent 6 weeks migrating. A 3-day comparison pilot would have cost 1/30th of the migration.
- 02
What counts as sufficient iteration?
Test variations until you hit diminishing returns. At minimum 3 variations beyond the first working version. Measure the delta between each: V1 → V2 improved throughput 40%. V2 → V3 improved 12%. V3 → V4 improved 2%. Diminishing returns at V3. ship V3. Edison tested 10,000 battery experiments but he was measuring progress. If V2 shows < 3% improvement over V1 for a non-critical metric, iteration on THAT axis is done. Move to the next constraint.
- 03
How does it differ from the Watt Efficiency Prover?
Watt validates OPTIMIZATION of existing systems. measuring waste, isolating bottlenecks, quantifying improvement. Edison validates DECISION-MAKING for new choices. testing alternatives, iterating designs, building ecosystems, proving viability. Watt asks 'where is 80% of your resources being wasted?' Edison asks 'how many alternatives did you test before choosing this one?' Use Watt when tuning a running operation. Use Edison when making a strategic choice or building a new capability.
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