Lucidic AI

How Enterprises and Developers Observe Reliable AI Agents

See your agent's mind at work

Monitor your AI agents, debug faster, and observe at scale. Gain complete visibility into your AI agents to track decisions, catch failures early, and refine agent behavior with precision.

Get started for free Read the docs

Backed by

Combinator

Visualize Your Agent's Journey

Track every decision, action, and outcome as your AI agent navigates through complex workflows. Understand exactly how your agent thinks and identify optimization opportunities.

Mass Simulation Workflow Trajectory (3 Sessions):

Restaurant Booking Workflow (Collect Preferences → Book Restaurant → Pay For Reservation)

State (3)

Restaurants Extracted: Le Cinq, Pur' - Jean-Francois Rouquette, Epicure

Restaurant search — candidate list compiled and task (or info delivery) completed

No Action Needed

No retries or blockers; agent waiting only for user next step or marking done

Top Restaurants Found

Located and extracted high-rated restaurants using Google search results: Le Cinq, Pur' - Jean-Francois Rouquette, Epicure

User Criteria Matched

Results matched cuisine, location, and rating as specified by the user

State (4)

Restaurant Google Search Query Typed

Google search submitted — waiting for results page to load

Awaiting SERP

No search results parsed yet; agent blocked waiting for SERP

Query Submitted

Agent entered query and clicked 'Google Search' button in all steps

Ready to Process Results

Stable browser session, criteria submitted; next step is processing search results

State (1)

Payment Successful

Payment processed successfully — pending booking confirmation message

No Action Needed

No user input or retries required at this stage

Stripe Payment Success

Paid with provided payment details and returned successful booking

Awaiting Booking Confirmation

Workflow is waiting to generate booking confirmation narrative for user

State (3)

Survey Completed, Launching Browser to Search

browser_agent_ready_for_search — waiting to launch restaurant search

Stable State

No errors, retries, or repeated initializations present

No Actions Taken

No search or scraping actions initiated in any step

Initialized Agent

Browser agent initialized and ready for restaurant search in all steps

Preferences Saved

User preferences (cuisine, city, star rating) persisted across steps

State (2)

Restaurant Extraction Complete: Miss Ricky's, Olio E Più, Monteverde

Extraction complete — agent delivered shortlist of high-rated Italian restaurants in Chicago

4-Star Italian Parsed

Parsed Google search for 4-star Italian restaurants in Chicago

Top Restaurant Candidates

Extracted and listed candidate restaurants: Miss Ricky's, Olio E Più, Monteverde

Structured Results Extracted

All extraction steps produced structured results; criteria fully matched, no booking attempted yet

State (2)

Payment Failed Initally, then Succeeded

Booking payment — handled payment failure and resolved with retry

Payment Failed Initially

Simulated payment initially failed due to insufficient funds in all steps

Booking Process Unblocked

Booking process unblocked, confirmation ready in all merged steps

Error Handled Successfully

Agent ran error-handling and successfully retried payment in every case

Start State (3)

Restaurant Preferences Collected from Users

Preference collection complete — ready to search restaurants

Restaurant Preferences Collected from User

Cuisine, location, star level, other preferences collected

Ready for Search

No downstream restaurant search or booking action started yet

All Preferences Gathered

Agent has fully gathered all user dining preferences in chat

Sequential Prompting Complete

User and agent exchanged sequential prompts to collect cuisine, city, and star rating

State (3)

Starting Browser Page Reached

Processing initial Google search for restaurant booking

Waiting for Results

Agent is waiting for search results to load

Entering Preferences

Search query based on user preferences issued or pending

Google Homepage Opened

Browser session started and directed to Google homepage

State (1)

Monteverde Selected and Booking In Progress

Monteverde selected as best match for user's criteria

Matched User Preferences

Selected Monteverde based on user's preference for authentic Italian cuisine

Ready For Booking

Restaurant selected from extracted options; ready to proceed to booking

Selection Criteria Applied

Applied criteria: 4+ stars, table availability, and proximity to downtown

Options Evaluated

Evaluated all extracted Italian restaurant options against user requirements

End State (3)

Awaiting Survey Completion

Post-booking survey — waiting for user to complete feedback

Survey Started

Survey prompt issued and user participation confirmed

Ready for Survey

No payment or technical issues remain; next step is delivering survey questions

Feedback Confirmed

User agreed to provide feedback after reservation confirmation

State (2)

Le Cinq Selected, Booking In Progress

Processing reservation at Le Cinq — confirming date, time and party size

Date Selection Complete

User confirmed reservation for Friday at 7:30pm for party of 4

Contact Details Provided

Collected user's phone number and email for reservation confirmation

Special Requests Noted

Added user's request for a quiet table away from kitchen

React Flow

Interactive Example Workflow Trajectory

Click any step to jump to that point in the workflow and click the background to zoom back out. Hover over edges to see which states are transitioned to.

Real-time Agent Trajectory Mapping

Watch your AI agents navigate through decision trees, API calls, and logic branches. Each node represents a key decision point, with full visibility into the agent's reasoning process.

Works with Your Tech Stack

Seamlessly integrate with LLMs, frameworks, and tools. Support for OpenAI, Anthropic, Google, and open-source models out of the box.

OpenAI

LLM

Anthropic

LLM

Google Gemini

LLM

LangChain

Framework

Pydantic

Framework

OpenTelemetry

Framework

Python

Language

See more integrations

→

Features

Tools for Reliable AI Agents

Build, test, and deploy reliable AI agents with our comprehensive toolkit designed to provide complete visibility and control over your agent workflows.

QAQC - Quality Assurance Quality Control

Monitor agents in production with real-time alerts

Learn More

Time Travel

Have a particular part in your workflow messing your agent up? Jump directly to that step and re-run it until it works with our time travel.

Learn More

Evaluation Rubrics

Use our default evaluation rubric, create your own rubrics, or pass in your own evaluations. Create specific evaluations for CAPTCHAs, billing pages, booking websites or whatever else you need.

Prompt Database

Host prompts with versioning, labeling, and environment support. Edit, save, and pull latest versions without touching code.

Workflow Sandbox

Step-by-step run analysis with quick stats and failure insights. Iterate faster for more reliable agents.

Mass Simulations

Analyze large-scale agent runs. Identify failure patterns and improve reliability at scale. Run your agent hundreds of times and never worry about reliability again.

Workflow Trajectory

State-by-state analysis of what your agent is doing at scale. See efficiently grouped representations of your runs in as much detail as you want.

Lucidic AI

The platform for building reliable AI agents.