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 Today | Impact | Agentspace Remedy |
|---|
| Ad‑hoc prompts + scripts | Slow iteration, hard to share | Structured templates & onboarding |
| Re‑inventing capabilities | Wasted cycles | Reusable Topics & Tools library |
| Hard to teach or evaluate agents | Unpredictable quality | Built-in educational + assessment tools (Teacher) |
| Prototype → Production gap | Experiments stall | Roadmap to APIs, orchestration, metering |
Agentspace collapses scattered workflows into a single lifecycle hub.
Core Concepts
| Concept | Description | Analogy |
|---|
| Agent | Configured AI persona with identity + abilities | A staffed role |
| Topic | A job domain that groups related tools & instructions | Department / function |
| Tool | Executable action (explain, summarize, quiz, search) | A skill or instrument |
| Template | Reusable blueprint for a class of agents | Playbook / starter kit |
| Reasoning Loop (forthcoming) | Plan → select topic → invoke tools → refine | Workflow engine |
How It Works (High Level Flow)
- You start in the Onboarding Flow: name, purpose, audience, tone.
- Select or adapt a Template (e.g., Teacher Agent).
- Attach Topics (Teaching, Knowledge Search, Support).
- Each Topic exposes Tools the agent can call.
- Interact via chat; refine prompts and metadata.
- (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:
| Tool | Purpose | Example Input | Example Output Key |
|---|
explain_concept | Adaptive explanation by audience level | {"topic":"Photosynthesis","audience":"10-year-old"} | explanation |
summarize_text | Condense long passages into bullets / paragraph | {"text":"...","format":"bullet points"} | summary |
quiz_me | Generate 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 Case | Description | Starter Topic |
|---|
| Knowledge Navigator | Semantic + structured KB search | Knowledge Search |
| Support Assistant | FAQ + case triage + summarization | Support Ops |
| Research Synthesizer | Multi-source compare & merge summaries | Research |
| Domain Coach | Role-specific micro-coaching (sales, compliance) | Coaching |