Beunec

Aselius Workspace

Part of the Aselius Platform · Created by Beunec Technologies Inc.

Version: 1.0.0

Aselius Workspace is where researchers, engineers, founders, and startup teams run real-world tasks: research, drafting, coding prototypes, creative assets, and governed collaboration, with outputs you can preview, edit, download, and share. It is built for software engineering teams, research organizations, consulting firms, startup teams, university post-graduates who need production-grade deliverables, not just chat agent replies.

Access it from the Aselius Platform sidebar under Workspace.

What Workspace Is

Workspace is not a single chat box. It is an agentic task environment built around:

AreaWhat it does
TaskspaceYour primary work surface, conversation, attachments, engines, previews
GovernanceWorkspace-level AI behavior and content rules
ConnectorSecure OAuth connections to external apps
CreditsPrepaid balance for agentic engine usage
Shared with meAccept invitations and open workspaces shared with you

At the center is Taskspace (internally ChatSpace): one conversation thread per task, combining a conversation area on the left, your prompts, agent responses, and clickable snapshots of completed work, with a right-side Preview Panel for assets, attachments, sandbox iframe, documents, and HTML.

High-Level Architecture

How to read this: You work in Taskspace. Your message is enriched with hidden context (date, engine choice, agent notes, attachments). The Rivine orchestration runtime routes and executes the task. Deliverables land in Assets and as snapshots in the conversation. The Preview Panel lets you inspect and edit without leaving the browser.

Quick summary: how a turn works

You can pin an engine from the Space UI (skip automatic routing) or let the Mediator choose. You can also set a specialty (e.g. PDF vs spreadsheet for Research, or a legal domain for Cicero) to steer output without re-explaining context every turn.

11. Taskspace

Taskspace is where tasks are executed, previewed, and continued over time.

What you can do

  • Send natural-language requests to Rivine agentic engines
  • Attach files, paste text, parse URLs, capture screenshots
  • Pick an engine and specialty (sub-mode) for the kind of work you need
  • Use Agent Notes to jump directly to a pre-configured engine + specialty
  • Stream AI responses in real time, including tool progress whenever the engine uses external data or sandbox actions
  • Open deliverables from snapshot cards in the conversation
  • Approve or reject high-risk actions via Human-in-the-Loop (HITL) when the engine pauses for your decision
  • Search across messages, taskspaces, assets, and workspaces from the workspace header

Conversation layout (accessibility)

Older messages use flip cards to reduce visual clutter:

  • Your previous requests collapse to "Click to view your request"
  • Older AI responses (beyond the latest two) collapse similarly until you expand them
  • Attachment and file snapshots stay visible as tappable cards on expanded messages

This flip-card behavior applies to both sides of the exchange, your original prompt and the AI response, so you can review long agent output without losing your original ask.

Snapshots

When an engine finishes meaningful work, a snapshot card appears in the conversation. Click it to open the deliverable in the Preview Panel.

Output typeSnapshot behavior
Markdown documentOpens in the built-in editor (rendered + editable)
HTML report / deckRenders in the HTML preview; export when available
Image / video (Creative)Opens media preview from stored asset URL
Code (Rivine Code)Opens sandbox preview, see Rivine Code section below

Roles and permissions

RoleTypical access
OwnerFull control, share, transfer ownership
OperatorEdit governance, share, manage taskspaces
MemberCreate and use taskspaces
GuestView-only, cannot edit documents or governance

22. Rivine Agentic Engines

Rivine is Beunec's proprietary agentic orchestration runtime. Each Rivine engine is a runtime construct, orchestrator, tools, verification, and sandbox policy, not a single generic model call. The runtime handles planning, routing, tool use, verification, and delivery; language models operate inside that harness.

We do not disclose specific third-party model IDs, routing tables, or internal parsing strategies. What matters for users: engines are specialized, governed, and produce inspectable outputs.

Available engines (today)

EngineBest forDeliverableMinimum credits to select
AutoPlatform routes to the best engine-None
Rivine ChatProfessional, action-oriented dialogueMarkdown or inline HTML$2.00
Rivine ResearchSource-grounded research and analysisMarkdown → PDF or spreadsheet HTML$10.00
Rivine CodeSoftware engineering, debugging, security reviewSandbox code + live preview$20.00
Rivine CiceroLegal drafting, review, and policy workMarkdown legal memo$5.00
Rivine CreativeImage, video, and audio creation/editingPNG / video media$5.00
Rivine FIDAFinancial research and quantitative analysisNot available yetComing soon

Not available yet: Rivine FIDA, Rivine Agentic Engines as an API, and several connector/import integrations (see below).

Which engine should I pick?

Specialty selections

Most engines require a specialty before you send a message. Specialties activate a focused sub-agent mode with its own operating instructions.

EngineSpecialties
Rivine ChatChat
Rivine ResearchPDF, Spreadsheet
Rivine CodeNextJS, Python, NextJS + Python
Rivine CiceroContract Review, Legal Drafting, Immigration Law, International Relations, Corporate Law, Employment Law, Policy and Law Drafting
Rivine CreativeImage Generation, Image Editing, Video Generation, Video Editing, Audio Generation

If a specialty is required and not selected, send is blocked until you choose one. Set specialty in the Space UI or describe it in your prompt, the Mediator can also infer it from context.

Grounded data (when enabled)

For Chat, Research, Creative (briefing), and Cicero, you can enable grounded sources, finance, health literature, SEC filings, maps, web search, and more. Agents are instructed to cite sources rather than rely on memory alone. Source toggles are per-workspace; disabled sources are never called.

Agent Notes

Agent Notes are pre-written harness instructions for each specialty, they tell the runtime how to execute (evidence rules, escalation triggers, output shape), not just what to answer.

  • In Auto mode, Agent Notes list every specialty across engines; picking one auto-selects the matching engine + specialty.
  • On send, the selected note is injected invisibly into your message (you do not see it in the chat bubble).
  • Notes enforce behaviors like: cite sources, never invent spreadsheet cells, escalate legal risk to HITL, block unsafe creative requests, etc.

Separately, Agent Notes can also surface after a run as transparency metadata in the conversation: the routing decision, which engine handled the task, verification or escalation flags, and citation summaries. This is not a separate agent, it exists to help you audit what happened, not to replace the deliverable.

How engine execution works (simplified)

Rivine Code is designed as an autonomous coding runtime build, debug, audit, and preview software without opening a local IDE. For non-technical users, that means seeing a working preview in the browser. For engineers, it means a quick prototype you can download and carry into production tooling.

Current behavior in Workspace (transparent):

  • Engine outputs appear as snapshots in the conversation (markdown, HTML blocks, generated images).
  • Markdown and HTML open in the Preview Panel (editable document editor or HTML live preview).
  • Most deliverables are saved to Assets.
  • Rivine Code project file trees run in an isolated sandbox with preview capability; those sandbox filesystems are not persisted to Assets today (planned for a future release), only the snapshot/preview bridges the two in the conversation.
  • The HTML tab provides a sandboxed iframe preview for HTML content (code editor + live render).

Human-in-the-Loop (HITL)

When the runtime hits verification limits, low confidence, or high-risk actions, it can pause and show an approval request in Taskspace. You can approve or reject before execution continues. This is especially relevant for legal, security, and data-sensitive workflows.

33. Mediator Modes

Mediators shape how your intent is interpreted before routing.

ModePurposeWhen to usePlan availability
AlphaOptimizes intent for global regulatory complianceFast routing; good for clear, single-intent requestsAll plans
BravoApplies the Agentic Annotation ProtocolDefault; more careful intent analysis before routingPro, Essential
CharlieOptimizes intent and awaits approval before routingRevision pass, useful when routing confidence is low or context is ambiguousEssential

Transparency note: Mediator selection is available in the Taskspace UI and gated by subscription plan. Full end-to-end wiring from UI selection into every stream request should be verified against your deployment; the frontend currently stores mediator choice in the interface while the primary stream payload focuses on message, attachments, sources, and file context.

If you select an engine explicitly in the Space, routing can skip the Mediator entirely and go straight to that engine.

44. Preview Panel (right side)

The Preview Panel is your inspect-and-edit surface without leaving Workspace.

Tabs

TabPurpose
AssetsAll taskspace files, filter by user vs AI, type, download, delete, open
AttachmentsPending items before you send a message
PreviewMarkdown documents, images, plain text
HTMLHTML code editor + sandboxed live preview
ShareShare workflow (when opened from share actions)

Markdown documents

  • Rendered and editable in the built-in document editor
  • Table of contents in fullscreen
  • Word count
  • Export: Markdown, PDF (print), DOCX
  • Save updates the asset (guests: read-only)
  • Follow-up prompts can request surgical revisions (targeted patches) instead of full regeneration, you don't need to ask the engine to redo the whole document to fix one section

HTML

  • Split view: code editor + sandboxed iframe preview
  • Export: HTML file, PDF (print)
  • AI responses that include HTML code blocks appear as HTML snapshots in the conversation, click to open the HTML tab
  • Research PDF-style reports and spreadsheet layouts preview as self-contained HTML, suitable for review, print, or export workflows supported by your plan

Panel behavior

  • Resizable on desktop (width remembered)
  • Full-screen sheet on mobile
  • Optional fullscreen mode for focused editing

55. Assets

Assets are the durable output library for each Taskspace.

PropertyDetails
TypesDocument, code, image, data, other
CreatorUser or AI
Typical flowUpload/parse → markdown asset, or AI generates → saved asset
In AI contextTaskspace assets are included as current_file_context on each message so engines stay grounded in your files

By source

SourceExamples
YouUploads (documents, images, references)
AIGenerated markdown, HTML, media from Chat, Research, Cicero, Creative

Assets are versioned. AI-created assets are tagged with engine metadata and citations where applicable.

Snapshots vs Assets

  • Snapshots in chat are quick-open cards tied to message content (pasted text, file references, HTML blocks, images).
  • Assets are persisted files you manage in the Assets tab.

Rivine Code's sandbox filesystem is separate from Assets for now, only the snapshot/preview bridges the two in the conversation.

66. Attachments & file parsing

Supported upload types

Uploaded files are converted to a markdown-first representation for AI grounding (exact parser engines are proprietary).

CategoryExtensions
Imagesjpg, jpeg, png, gif, bmp, svg, webp
Documentspdf, docx, xlsx, pptx, csv, txt, rtf, md
Audiomp3, wav, m4a, flac, ogg, mpeg
Videomp4, mov, avi, mkv, webm, mpeg
Codepy, js, jsx, ts, tsx, html, css, json, xml, sql, java, tex, vue, svelte, go, rs, rb, php, c, cpp, h, cs, swift, kt, yaml, yml, scss, less, mdx

Limits

LimitValue
Max file size200 MB
Max files per message10
Max files per batch upload10
Daily uploads3 (Base) / 10 (Pro) / 20 (Essential)

Not supported

  • Archives (.zip, .rar, etc.)
  • Executables and other blocked extensions for security

Import methods

MethodStatus
File uploadAvailable
Paste textAvailable (no server parse)
Paste / clipboard imageAvailable
Web page or YouTube URL parseAvailable
Screenshot captureAvailable
Import from Manage FilesAvailable
Google Drive / OneDrive / Dropbox attachComing soon

What is AI-powered here

  • Parsing runs on Beunec's server-side pipeline (not a chat completion you type into).
  • Parsed content becomes markdown assets the engines can reason over.

77. Hidden context injection (agentic awareness)

To activate the full Rivine harness without cluttering your chat, Workspace injects structured tags into outbound messages. These are hidden from the visible conversation but used by the runtime for classification, routing, and output quality.

TagPurpose
<context_identity>Your local date, time, timezone, and location (if browser permission granted)
<agentic_engine>Explicit engine override when not using Auto
<user_propritize>Specialty / sub-agent mode selection
<agent_note>Full specialty harness instructions
<pasted_text>Pasted content attachments
<file_attachment>References to parsed asset files
Language hintResponse language preference (non-English)

This is how Workspace gives agents situational awareness (when/where you are working) and execution discipline (which engine, which specialty, which rules) without you managing prompts manually.

88. Governance

Route: Workspace → Governance tab
AI-powered? The page itself is configuration UI. Saved rules inform AI behavior on the backend, it is not a chat feature.

What you configure

System instructions

  • Primary role
  • Specified industry
  • Behavioral guidelines
  • Response format

Content restrictions

  • Prohibited topics
  • Content filters

Who can edit: Owners and Operators. Guests see read-only fields.

99. Connector

Route: Workspace → Connector (dedicated page)
AI-powered? No, this is credential and permission management so engines can access external systems when authorized.

Connectable today

AppAccess
Google (Gmail/Calendar)Mail/calendar read & send
Microsoft 365Mail/calendar
SupabaseRead/edit
FirebaseRead/edit
MongoDBRead/edit
StripeRead balances/transactions
GitHubRead repositories

Not yet implemented

  • Dropbox
  • Box

Connect Apps toggles in the Taskspace input area list additional sources (web, maps, health, etc.) but are currently disabled in the UI, connecting apps is done through the Connector page first.

1010. Credits

Route: /credits (linked from the balance widget in Workspace header)
AI-powered? No, this is prepaid usage billing.

  • Credits are consumed when you run agentic engines (usage-based after free monthly allocation).
  • Each Rivine engine has a minimum balance required to select it (see engine table above).
  • Low balance is highlighted when under $5.00.
  • Credits can be shared via CloudHandle (per plan features).
  • Pay-per-token usage is metered per call at the runtime level (see "Under the hood" below).

1111. Shared with me

Route: Platform sidebar → Shared with me
AI-powered? No, this is collaboration and access control.

  • View pending invitations and active shared workspaces
  • Accept or decline invitations
  • Open a shared workspace (lands in its first Taskspace)
  • Roles: Owner, Operator, Member, Guest

Workspace owners/operators can share from the Preview Panel Share tab (when enabled).

Under the hood (what we share publicly)

We do not publish exact model names, routing tables, or parsing strategies, that is proprietary Beunec infrastructure. Here is what matters for trust and quality.

1. Orchestration runtime (RE-AI graph)

A graph-based runtime coordinates each turn:

  • State persists across steps and supports human-in-the-loop pauses (approval, clarification, escalation)
  • Long tasks can resume without losing thread context
  • Pay-per-token usage is metered per call

2. Reasoning framework (REA / REI / REAI)

Engines use one of three tool-calling reasoning patterns, chosen by task type:

PatternOrientationTypical engines
REAAnalysis-firstResearch, Cicero
REIImplementation-firstCode
REAIAnalysis + implementationChat

Each loop: plan → call tools → verify → terminate with a structured answer. Models are nudged to finish via a final_answer contract rather than trailing prose.

3. Harness engineering ("brain and hands")

Beunec separates decision-making from execution:

  • The orchestrator plans and delegates
  • Sandboxes and tools run in isolated environments (E2B for code; scoped tool access for research/legal)
  • If execution fails, the harness can retry or adapt without wiping conversation memory, similar in spirit to resilient agent harnesses in the industry, tuned for Rivine's multi-engine layout

For Research and legal work, downstream formatters (PDF/Sheets) do not re-run open web research, they work from the lead agent's grounded output, controlling cost and drift.

4. Verification

  • Deterministic checks where possible (schemas, tests, linters on the Code cold path)
  • Inferential self-checks via agent instructions and escalation tags
  • Grounded citations for factual engines
  • Repeated failure or high-risk actions can escalate to you (HITL)

5. Agentic Annotation Protocol

Every agent, sub-agent, and tool-facing model receives a standardized instruction layer: capability boundaries, when to call tools, when to escalate, and positive/negative behavioral examples. This is the same family of ideas as the GCAP/ASPS annotation approach, consistent behavior across the stack, not ad-hoc prompts per feature.

6. Security posture (summary)

  • Workspace-scoped assets and authenticated API access
  • Sandbox isolation per engine/thread
  • Credentials scoped to connectors you authorize, not globally exposed to agents
  • PII handling and output guardrails at the infrastructure layer

What is AI-powered vs not (summary)

FeatureAI-powered?
Taskspace chat & streamingYes
Rivine engines + specialtiesYes
File/URL parsing to markdownServer pipeline (proprietary; not user-facing LLM chat)
Preview Panel editorsNo client-side edit/export
Assets library CRUDNo standard API
GovernanceConfig only shapes AI via backend
Connector OAuthNo
Credits & billingNo
Shared with meNo
Workspace searchDepends on implementation; not generative chat
Voice inputBrowser speech-to-text → your message text
Mediator UIIntent shaping layer; plan-gated

Detailed breakdown

AI-powered today

  • Mediator routing
  • All Rivine agentic engines and their sub-agents
  • Grounded research and citation assembly
  • Surgical document/code revisions via follow-up prompts
  • Creative media generation pipelines
  • Rivine Code sandbox execution and cold-path delivery (APST, coder, CI/CD steps where enabled)

Not AI-powered today (may evolve)

  1. Built-in document editor: Manual edits in the preview panel are your changes. The editor does not silently rewrite content unless you ask an engine to revise it.
  2. Workspace administration: Members, roles, permissions, billing, and connector OAuth setup are standard platform controls, not agent-driven decisions.

We will disclose when additional surfaces become AI-assisted.

How Aselius Workspace compares

We will not claim features we have not shipped. Here is an honest positioning lens for researchers, engineers, and founders evaluating agentic tools:

DimensionTypical copilot / workspace productsAselius Workspace
ArchitectureOften a chat layer over one modelRivine runtime with specialized engines, specialties, verification, and HITL
Output handlingCopy-paste from chatAssets + Preview Panel edit markdown/HTML, export, reopen from snapshots
Task continuitySession-based chatTaskspaces with persistent assets and governed configuration
Enterprise controlTenant policies varyGovernance per workspace + role-based sharing
CodingIDE assistant or codegenRivine Code as runtime construct with in-browser preview (not "just autocomplete")
TransparencyOpaque routingVisible engine/specialty choice, agent notes, HITL checkpoints

We are not claiming to replace your entire IDE, legal counsel, or brokerage stack. We are offering a unified place to run governed agentic work and leave with deliverables, documents, code previews, research outputs, and creative assets, without stitching together five separate tools.

Usage tips

  1. Pick the right Space engine: or let Bravo Mediator route, then lock the engine if it chose correctly.
  2. Enable only the grounded sources you need: fewer sources, faster turns, lower cost.
  3. Use follow-ups for surgical edits: "patch section 3", "fix the chart labels", instead of regenerating entire documents.
  4. Rivine Code: describe stack (Next.js, dashboard, landing page); use preview to validate before download.
  5. Rivine Research: say PDF or spreadsheet upfront, or set the specialty toggle.
  6. Cicero: treat output as legal information, not legal advice: escalation paths exist for high-stakes matters.

Recommended workflows

Researcher

Engineer / founder

Legal / policy operator

Team lead

Roadmap (disclosed only)

Available now: Rivine Chat, Research, Code, Creative, Cicero; Mediator modes; grounded sources; asset previews; Code sandbox preview; pay-per-token metering.

In progress / not yet production:

ItemStatus
Rivine FIDA (financial intelligence & backtesting)Coming soon
Rivine Agentic Engines as an APIComing soon
Google Drive / OneDrive / Dropbox attach in TaskspaceComing soon
Dropbox / Box ConnectorNot yet implemented
Rivine Code sandbox filesystem → Assets persistenceFuture

Beunec will disclose additional capabilities when they are ready for production use.

Legal & product notes

© 2026 Beunec Technologies, Inc. All rights reserved.

  • Aselius Platform is created by Beunec Technologies Inc.
  • Workspace is one application within the platform, selectable from the sidebar.
  • Rivine, Reverse Engineering of Analysis & Implementation, and related orchestrations are proprietary, not open source. Documentation describes capabilities and outcomes, not internal implementation recipes.
  • Rivine Cicero and similar engines are not substitutes for licensed attorneys, physicians, or financial advisors.
  • Agentic Annotation Protocol principles (capability transparency, refusal of harmful requests, no fabricated real-time data) are embedded in engine harness design.
  • AI outputs require human review for high-stakes decisions (legal, medical, financial, security). Cicero and Research outputs are assistive, not substitutes for licensed professionals.

Quick reference diagram: one task end-to-end