End-to-end tracing
Follow each request through retrieval, generation, tool calls, and guard checks, with span-level timing, token counts, costs, and searchable trace trees.
Future AGI
ClaimFuture AGI is a platform for tracing, testing, and improving AI agents with prompts, simulations, evaluations, and guardrails.
Overview
Future AGI is a platform for building, testing, observing, and improving AI agents. The site positions it around the problem of agent hallucinations and shows tools for tracing agent execution, evaluating outputs, simulating conversations, managing prompts, and adding guardrails.
The product brings these workflows into one environment so teams can inspect failures, compare runs, and iterate on prompts or agent logic with the same underlying data. Pricing information shows a free starting tier with usage-based billing after the included limits, which makes it suitable for teams that want to begin small and expand as usage grows.
Features
Evaluation workflows
Compare heuristics, code-based checks, LLM-as-judge setups, and agentic evaluations, with templates and historical or inline workflows for testing agent behavior.
Simulation for agent testing
Test text and voice agents with scenarios, personas, and transcripts so teams can inspect how an agent handles realistic conversations before shipping changes.
Prompt and agent workbench
Manage prompts, versioning, labels, folders, and a visual agent playground for building and iterating on prompt and graph-based workflows.
Guardrails and content protection
Apply built-in rule-based and ML-powered guardrails for content moderation, PII, secrets, toxicity, and injection checks in monitor or protect modes.
Shared analysis and experiment data
Store datasets, experiments, annotations, and AI-assisted analysis in shared workspaces for comparison, review, and debugging across the agent lifecycle.
Use Cases
Debugging agent behavior
Development teams can inspect a single agent request across retrieval, tool calls, and model output to see where latency, cost, or factual errors appear.
Iterating on prompts and agent flows
Prompt authors can compare versions, labels, and playground runs to refine system prompts or graph logic before a release.
Testing conversational agents
QA and product teams can run simulated text or voice conversations with personas and scripted scenarios to review how an agent handles realistic interactions.
Controlling production usage
Operations teams can set guardrails, routing, rate limits, and budgets in front of model traffic to reduce unsafe or unbounded behavior.
Comparing experiments and reviews
Evaluation teams can store datasets, run experiments, and review annotations to compare model or agent changes across a shared workspace.
Pros and Cons
Pros
- Covers multiple stages of the agent lifecycle, from prompt creation and simulation to tracing, evaluation, and guardrails.
- Includes a free starting tier and usage-based pricing, which lowers the entry barrier for small teams.
- Supports collaborative workflows such as projects, datasets, annotations, and shared traces.
- Provides detailed observability data at the span level, including timing, tokens, cost, and payloads.
- Offers both rule-based and ML-assisted protection options for agent outputs and inputs.
Cons
- The public sources are strongest on tracing, pricing, simulation, and prompt workbench details; other modules are referenced but not described in equal depth.
- The available pages do not provide a complete integration inventory, so buyers may need to verify framework, SDK, and enterprise compatibility before adopting it.
FAQ
What does Future AGI do?
Future AGI is a platform for tracing, evaluating, simulating, and managing AI agents. The source pages show observability, prompt workbench, simulation, guardrails, datasets, and AI-assisted analysis modules.
Who is it for?
The source emphasizes end-to-end tracing, evaluation setup, prompt workbench workflows, text and voice simulation, and pricing tied to usage across product areas. It is designed for teams building and improving AI agents rather than a general-purpose app.
Does Future AGI have a free plan?
The pricing page shows a free starting tier and usage-based pricing after the included allowances are exceeded. It also notes free access to core features on each product area and optional paid add-ons for higher retention and enterprise needs.
Can teams collaborate in the platform?
Yes. The site shows team members and projects as included on plans, and it presents shared work across traces, datasets, prompts, and annotations rather than a single-user workflow.
What integrations are documented?
The site shows direct support for tracing, simulation, prompt workbench, evaluations, guardrails, datasets, annotations, and an API/SDK. The provided sources do not give a complete integration list for every downstream tool or framework beyond tracing integrations.
Quick Facts
- Category
- AI agent observability and testing platform
- Website
- futureagi.com
- Primary use
- Tracing, evaluation, simulation, prompt management, and guardrails for AI agents
- Pricing
- Free tier available; usage-based pricing after included allowances
- Notable workflow
- Trace requests, simulate scenarios, and compare outputs before shipping changes
- Team use
- Supports unlimited team members and projects on the public pricing page