How do I test a Lindy agent?

Connect your Lindy agent to TestMu AI, ingest your docs or a knowledge source, and let it auto-generate scenarios. An AI evaluator then chats with your agent like a real user across thousands of scenarios, scoring every response on quality metrics with a clear pass or fail. Explore agent testing to see the full workflow.

Why should I test agents built on Lindy?

Lindy makes it fast to ship no-code agents that send emails, qualify leads, update HubSpot or Salesforce, summarize meetings, and place and answer phone calls with its voice agents, but a live agent acts on real inboxes, records, and calls. Teams have seen Lindy agents reply on the wrong Gmail thread, email the wrong recipient, or write the wrong CRM field. One edit to a prompt, trigger, or knowledge source can quietly break a workflow that worked yesterday. Independent testing catches wrong actions, invented facts, and lost context before a customer or your CRM does.

Can TestMu AI check that my Lindy agent calls the right action?

Yes. Beyond what the agent says, TestMu AI evaluates what it does: emails the correct contact, replies on the intended Gmail thread, writes to the right HubSpot or Salesforce field, and routes through the correct conditional branch. Define pass/fail criteria per scenario so a wrong recipient or mis-mapped CRM update fails the run instead of reaching production.

How do I stop my Lindy agent from hallucinating answers?

Connect the SOPs, help-center docs, and PDFs your agent answers from, and TestMu AI generates scenarios that probe for grounding. It flags when the agent invents a policy, quotes a discount it cannot authorize, or answers a question with no source in your knowledge base, scoring hallucination and context accuracy on every reply with a clear pass or fail.

Can I run regression tests after editing a Lindy workflow?

Yes. Re-run your full scenario suite against the updated agent to confirm that adding a trigger, changing a prompt, or editing a branch did not break a step that worked before. TestMu AI supports scheduled runs via preset frequencies or custom cron expressions with IANA timezone support, and you can trigger runs from CI/CD to catch regressions on every change.

Does this replace Lindy's own tooling?

No, it complements it. TestMu AI is an independent QA layer that evaluates your agent from the outside, the way a customer or your CRM would. You keep building in Lindy and use KaneAI and agent testing to prove the agent behaves correctly before and after every release.

Test the AI Agents You Build on Lindy

Deploy autonomous AI evaluators against your Lindy agents across thousands of scenarios. Catch the wrong Gmail thread, mis-mapped CRM field, and hallucinated answer before your live inboxes and customers do.

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Deep Dive into Lindy Testing

Agent Conversations

Tool and Action Calls

Scenario Generation

Go-Live Assessment

Test Lindy Agent Conversations

Lindy agents qualify leads and answer support across chat, email, and voice. Score every turn on 9 quality metrics to catch invented discounts and wrong policies.

9 Quality Metrics

Score bias, hallucination, completeness, context awareness, and response quality on every reply your Lindy agent drafts.

Scenarios From Your Knowledge

Auto-generate 60-100+ test scenarios from the SOPs, help docs, and product PDFs your Lindy agent answers from.

Catch Off-Script Replies

Flag when an agent promises a refund it cannot authorize or answers a billing question with no source.

Complete Lindy Testing Coverage

Confidence by Evaluation Volume

HIGH (100+ evaluations), MEDIUM (50-99), LOW (20-49), VERY LOW (below 20). Confidence calibrates to how many scenarios you run against the agent.

9 Quality Metrics on Every Reply

Bias, hallucination, completeness, context awareness, response quality, flow, user satisfaction, file handling, and file accuracy on what your Lindy agent says and does.

4-Dimension Go-Live Assessment

Each run scores Functional Completeness, Quality Standards, Risk Profile, and Operational Readiness before the agent acts on live inboxes and CRMs.

Pass/Fail Action Analysis

Pinpoint every correct call and every wrong one, the wrong Gmail thread or HubSpot field, tracked as Pass, Fail, or Partial against your criteria.

Built for Every Layer of Lindy QA

Project and Environment Management

Separate test projects per Lindy agent, manage environments, and scope variables with bulk creation.

Test Profiles and Personas

Run a lead, a frustrated customer, or a returning user against your agent from a pre-built or custom persona library.

Custom Validation Criteria

Define evidence-based pass/fail rules per scenario, including which action fired, with High/Medium/Low confidence tracking.

Security and Infrastructure

Execute via HyperExecute with optional secure tunnels for firewall-restricted Lindy webhook endpoints.

Scheduling Engine

Re-run suites after every workflow edit using preset frequencies or custom cron expressions with IANA timezone support.

Observability and Reporting

Track agent quality across runs with unified dashboards, exportable reports, and real-time trends on replies and actions.

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Success Stories of TestMu AI (Formerly LambdaTest)

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