A private path to getting things done
Give agents the goal. Keep the context yours.
AI analysis, with your approval at the boundary.
The outcome can be shared.
You decide what gets there.
A clear path from a private goal to a reviewed result.
Intelligence
Give AI a clear goal. Keep a deliberate boundary around the material it receives.
GPT-6 SOL high powers the live workspace through your configured AI gateway.
Send the goal first. Review the plan before sharing source material for analysis.
Your prompts and reports are not published to a public blockchain.
Coordination
Bring purpose, context, and approval together before the analysis begins.
Tell AI the outcome you need. It returns a structured plan for your review.
Approve or decline the actual plan, with the selected source bound to your decision.
Solana coordination remains a proposed layer. This diagram illustrates the architecture.
Private runtime
Keep source material in this tab while the plan is prepared. Your approval sends the selected text to the AI gateway.
Each approval belongs to the current session and can be used once.
Choose the material your analysis needs without publishing it on-chain.
Source analysis waits for approval. The grid is a visual study, not a running sandbox.
Agent actions
Plan, approve, and receive a streamed AI report, with a clear decision at the boundary.
Move from a clear goal to a plan, then to an approved text analysis.
Read the report as it arrives. Check its fingerprint and download a Markdown copy.
The live workspace analyzes text. It does not execute code, publish, or spend funds.
Visual demonstrations · model icons and execution grids are illustrative.
The interactive visual could not load. The live AI workspace is available below.
From intent to outcome
Give AI a goal. Review its plan, then choose whether to send your source material for analysis.
An evidence-based research brief
Your goal is sent to the AI gateway when you generate a plan.
Only selected text is prepared. Files stay in this tab until approval. Editing the text clears the file selection.
[Source: product-notes.md] Fictional product notes: A. Local inference keeps text on the device but needs suitable hardware. B. A hosted model API is quick to integrate; its provider receives submitted text. C. Confidential compute needs attestation and additional infrastructure. Team: two developers. Target: a text-analysis MVP in four weeks. No verified benchmarks.
Best-effort patterns. Check names, internal notes and other sensitive details yourself.
A goal becomes a plan.
You decide what moves next.
Real AI analysis through your configured gateway. Source text is sent after approval; provider retention policies apply. No confidential compute, live browsing, wallet, or Solana transaction is connected. Read the data flow.
Keep source material off-chain. Review the plan, approve the analysis, and choose what belongs in the final report.
Review the model plan before sending source text. Keep each approval tied to the current session and the exact material you selected.
See an example of how activity can be understood at a glance. The live activity panel below records only stages, timing, and report usage.
Veilo Protocol keeps source material out of public records. Solana coordination is a proposed architecture; the current workspace runs through your AI gateway.
Illustrative interface · sample data
The interactive visual could not load. The live AI workspace is available below.
A little more visibility
A useful trace does not need your raw material. Follow the decisions and requests, one milestone at a time.
Wall time includes your review. This is a local workflow trace, not a model benchmark.
A fictional workflow illustrates the interface. Choose This tab to see your own activity after running an intent.
Data boundariesContext, memory, and results have different audiences. Make each one an explicit choice.
Keep your working context close. Choose what appears in a shared handoff.
Understand the privacy modelIllustrative visibility policy using sample data. This control does not encrypt data or change real access permissions.
Compare private notes. Keep evidence and assumptions separate.
An evidence-based research briefMask common secrets before diagnosing an error.
Likely causes and a concrete debugging checklistAnswer from the documents you select, with source references.
A sourced answer with missing evidence called outTurn unpublished notes into a draft you can review.
A public-facing draft and a disclosure checklistPrepare a public proposal from selected internal discussion.
A proposal draft, open questions and an approval checklistConnect an AI assistant through MCP, select local documents, or call the developer API. We provide the model; you approve the source.
The proposed Solana architecture
The architecture separates working context from coordination. Share the record a task needs, with a clear boundary around the rest.
Choose the illustrated record.Both examples leave the source context out.
