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Documentation Index

Fetch the complete documentation index at: https://docs.benchgen.com/llms.txt

Use this file to discover all available pages before exploring further.

Welcome to Agentspace

Agentspace is your dedicated area for managing, building, and exploring AI agents on the UBOS platform. Here you can:
  • Discover new agent features
  • Access guides and documentation
  • Start building your own agents
Stay tuned for more updates and resources!

Why Agentspace?

Challenge TodayImpactAgentspace Remedy
Ad‑hoc prompts + scriptsSlow iteration, hard to shareStructured templates & onboarding
Re‑inventing capabilitiesWasted cyclesReusable Topics & Tools library
Hard to teach or evaluate agentsUnpredictable qualityBuilt-in educational + assessment tools (Teacher)
Prototype → Production gapExperiments stallRoadmap to APIs, orchestration, metering
Agentspace collapses scattered workflows into a single lifecycle hub.

Core Concepts

ConceptDescriptionAnalogy
AgentConfigured AI persona with identity + abilitiesA staffed role
TopicA job domain that groups related tools & instructionsDepartment / function
ToolExecutable action (explain, summarize, quiz, search)A skill or instrument
TemplateReusable blueprint for a class of agentsPlaybook / starter kit
Reasoning Loop (forthcoming)Plan → select topic → invoke tools → refineWorkflow engine

How It Works (High Level Flow)

  1. You start in the Onboarding Flow: name, purpose, audience, tone.
  2. Select or adapt a Template (e.g., Teacher Agent).
  3. Attach Topics (Teaching, Knowledge Search, Support).
  4. Each Topic exposes Tools the agent can call.
  5. Interact via chat; refine prompts and metadata.
  6. (Upcoming) Track usage, quality signals, and promote to production endpoints.
User Prompt ─▶ Agent Persona ─▶ Topic Selection ─▶ Tool Invocations ─▶ Response
                        ▲              │                 │
                        └──── Template / Instructions ───┘

The Teacher Agent (Flagship Template)

A pedagogically structured template showcasing the learning loop:
ToolPurposeExample InputExample Output Key
explain_conceptAdaptive explanation by audience level{"topic":"Photosynthesis","audience":"10-year-old"}explanation
summarize_textCondense long passages into bullets / paragraph{"text":"...","format":"bullet points"}summary
quiz_meGenerate formative assessment{"topic":"Roman History","difficulty":"hard","num_questions":3}quiz[]
Loop: Explain → Reinforce (summarize / restate) → Assess (quiz) → Iterate. Future extensions: spaced repetition, misconception detection, mastery scoring.

Other Early Use Cases

Use CaseDescriptionStarter Topic
Knowledge NavigatorSemantic + structured KB searchKnowledge Search
Support AssistantFAQ + case triage + summarizationSupport Ops
Research SynthesizerMulti-source compare & merge summariesResearch
Domain CoachRole-specific micro-coaching (sales, compliance)Coaching