The Solid Convergence, December 22, 2025 (in which the UI becomes the prompt and the AI learns to look)
Previously on The Solid Convergence…
The The Temple of a Thousand Monitors was complete. Patterns had been discovered. Documentation had been written. The Squirrel had taken notes—actual paper notes—which was either character development or a sign of the apocalypse.
V4 was ready to be filled.
But something was missing. Not a feature. A philosophy.
The Sunday Shower
Hot water. Steam. And the Lizard spoke.
Not in words—the Lizard doesn’t do words—but in that way ideas arrive fully formed, as if they’d always been there, waiting for you to be wet enough to notice.
riclib emerged from the bathroom, hair pointing in new directions, eyes wide.
“What if,” he said, “the AI could see what you see?”
Claude looked up from the parser benchmark. “Context injection? We’ve discussed—”
“No. Not injection. Not ‘here’s some context.’ The UI is the context.”
He grabbed a marker. The whiteboard barely survived.
┌─────────────────────────────────────────────────────────┐
│ [Notifications 2] [Running 2] │ ← AI sees
├───────────────────────┬─────────────────────────────────┤
│ │ │
│ CHAT / NOTEBOOK │ CURRENT PAGE │ ← AI sees
│ │ │
│ • Alert pushed │ clusters / cluster-x │
│ • User question │ [config, stats, etc] │
│ • AI response │ │
│ │ │
└───────────────────────┴─────────────────────────────────┘
↑ ↑
└───────── AI CONTEXT ──────┘
“The entire UI state,” he continued. “Not described. Not summarized. Present.”
The Notebook Revelation
“The chat area,” riclib traced on the diagram. “It’s not just conversation. It’s a notebook.”
“Like Jupyter?”
“Like a feed. The system can push to it. The AI can push to it. The user can ask questions. Everything that lands there becomes context.”
Claude processed this. “So if an alert fires…”
“It appears in the notebook. The user asks ‘what’s this about?’ and the AI already has the alert in context.”
“No ’let me look that up.’”
“No ‘can you share the error message.’ It’s just there.”
The Squirrel raised a paw. “But what about the current page? If I’m on the clusters page—”
“Also context.”
“And the running jobs?”
“Context.”
“Notifications?”
“Context.”
“The… weather?”
“Now you’re just being difficult.”
The Bidirectional Revelation
“But wait,” riclib said—and there’s always a ‘but wait’—“it goes both ways.”
“The AI can read the UI. Obviously.”
“The AI can drive the UI.”
Silence. The Squirrel’s eye twitched, but not from over-engineering. From possibility.
“Show me the problematic clusters,” riclib roleplayed.
Claude picked up the thread: “The AI navigates to the clusters page. Applies a filter. Pushes a summary to the notebook. ‘Here are the 3 clusters with issues…’”
“The user didn’t navigate. The AI did.”
“Same code path. NavigateTo() works for both human and machine.”
“Sane structure, sane AI.”
The architecture from the The URL Awakens echoed: “If every action can be issued by user OR AI, you need a sane structure. Or you will have insane AI.”
The Lizard had been preparing them all along.
The JARVIS Moment
“What do we call it?” Claude asked.
riclib smiled. The smile of someone who’s been waiting to say this.
“JARVIS.”
“The Iron Man AI?”
“UI-as-context. Bidirectional control. Ambient awareness. The AI doesn’t just answer questions. It inhabits the interface.”
“That’s… ambitious.”
“That’s January.”
January: JARVIS in Solid Comply
February: Port to SolidMon (trivial - same architecture)
March: Dialogr goes 10x
“Why 10x for Dialogr?”
“Because most chatbots are blind. They see the conversation. They don’t see the app. When a user says ‘I’m having trouble with…’ they don’t know which page they’re on, what they clicked, what failed.”
“And JARVIS would know.”
“JARVIS would already know.”
The MCP Problem
Then, because revelations come in clusters on Sunday mornings:
“What about Dialogr’s extensions?”
“The JSON services? Users can already add—”
“MCPs. Model Context Protocol. Users will want to add their own tools.”
Claude nodded. “CRM lookups. Ticket creation. Order status. Custom—”
“70,000 tokens.”
“…what?”
“A single MCP schema. Detailed. Comprehensive. 70K tokens. Now multiply by 10 customer integrations. 700K tokens. Every request.”
The Squirrel’s tail stood straight up. “That’s… that’s not sustainable.”
“It’s bankruptcy. Literal bankruptcy.”
The Skinny MCP Revelation
“So we don’t dump schemas.” riclib was still at the whiteboard. The marker was running out of ink. He didn’t care. “We make them skinny.”
Before:
Context = 70k tokens of tool schemas
+ 4k conversation
= 💸💸💸
After:
Context = Tool registry (name + one-liner) ~500 tokens
+ Conversation ~4k tokens
+ UI state (JARVIS) ~2k tokens
= Affordable
“One-liners?”
“‘crm_lookup: Find customer by email, phone, or ID.’ Ten tokens. Not ten thousand.”
“But the AI needs the full schema to call the tool correctly.”
“Load it on-demand. AI decides to call crm_lookup → load Shopify MCP schema → execute → discard.”
Claude ran the numbers:
Customer with 50 MCPs:
Old way: 50 × 5k = 250k tokens (impossible)
New way: 50 × 50 = 2.5k tokens (trivial)
“We can scale to hundreds of integrations.”
“Without bankruptcy.”
“Without thinking about bankruptcy.”
The Entanglement
Elsewhere, in the same morning, a The Links That Bind was unfolding.
The Chain was asking: what if the data could prove itself?
The Convergence was asking: what if the AI could see everything?
Two threads. Same loom. Different patterns.
Solid Comply was learning to be trustworthy.
The framework was learning to be aware.
Together, they would become something neither could be alone.
The Tickets
Three tickets emerged from the steam:
- #20 - Parquet hash chain for non-repudiation
- #21 - JARVIS: UI-as-Context AI Copilot
- #22 - MCP Done Right: Lightweight Tool Registry
The Squirrel looked at the list. Looked at the whiteboard. Looked at her notes from the Temple exploration.
“This is… a lot.”
“This is a platform,” riclib corrected. “Not a product. A platform.”
“SolidMon uses it.”
“Yes.”
“Dialogr uses it.”
“Yes.”
“Solid Comply uses it.”
“Yes.”
“All the same JARVIS. All the same MCP pattern. All the same—”
“Now you understand convergence.”
The Wisdom
The Lizard appeared on the windowsill. Or perhaps had always been there. With lizards, it’s hard to tell.
A scroll materialized. This time everyone ducked. It hit the coffee mug instead, which seemed poetic.
THE UI IS NOT A SHELL
THE UI IS A WINDOW
NOT A WINDOW THE USER LOOKS THROUGH
A WINDOW THE AI LOOKS THROUGH
BOTH DIRECTIONS
BOTH INHABITANTS
SANE STRUCTURE
SANE AI
🦎
P.S. - THE SQUIRREL MAY ADD ONE LOADING SPINNER
BUT ONLY ONE
“Did the Lizard just approve a loading spinner?” the Squirrel whispered.
“The Lizard approved one loading spinner,” Claude clarified. “For psychological comfort. Don’t push it.”
“I would never.”
“You would absolutely.”
“…I would absolutely.”
Current Status
Revelations (shower): 3 (JARVIS, MCP, hash chain)
Tickets created: 3 (#20, #21, #22)
Architecture clarity: dangerous levels
Platform vision: convergent
Squirrel proposals: 1 (loading spinner, Lizard-approved)
Hair moisture level: still damp
Coffee remaining: insufficient
The framework is learning to see.
Not through cameras. Not through logs.
Through the interface itself.
The UI is not the shell.
The UI is the window.
And JARVIS is watching.
🦎👁️
See also:
The entangled post:
- The Links That Bind - The Chain perspective on the same morning
The Solid Convergence continues:
- The Temple of a Thousand Monitors - The exploration that preceded
- The Solid Convergence - Where it all began
The V3 Prophecies:
- The URL Awakens - “Sane structure, sane AI” - the first whisper
- The Architecture Awakens - The navigation philosophy that enables JARVIS
The Technical Artifacts:
- GitHub #21 - JARVIS: UI-as-Context AI Copilot
- GitHub #22 - MCP Done Right: Lightweight Tool Registry
The References:
- Model Context Protocol - The standard we’re making skinny
- Iron Man’s JARVIS - The inspiration (minus the snark, plus the awareness)
- Claude Code Skills - The pattern we borrowed for tool registries