---
title: "Gumloop"
type: "AI Tool"
url: "https://aidemos.com/tools/gumloop"
description: "We tested Gumloop on lead qualification, routing, and approval gates; free-tier company research was slow, source-less, and leaked a system prompt."
category: "productivity"
website: "https://www.gumloop.com/"
published: "2026-07-16T12:54:45.515415+00:00"
updated: "2026-07-16T12:54:45.515415+00:00"
evidenceCount: 56
verifiedCount: 0
coverage: "partial"
---

# Gumloop

No-code agent builder for structured business workflows and approval gates, but free-tier research is unreliable.

`No-code` · `Human-in-the-loop` · `Free tier available` · `4/5 tasks passed`

**Website:** [Visit Gumloop](https://www.gumloop.com/)

## Evidence (first-party, tested)

*56 tested cells · 0/56 artifact-verified. Scores are out of 5. Cite a cell by its Evidence ID, e.g. `ev:gumloop·lead-qualification-for-sarah-at-retailco·agent-capability-beyond-chat`.*

| Criterion | Scenario | Verdict | Score | Tested | Proof | Evidence ID |
| --- | --- | --- | --- | --- | --- | --- |
| Agent capability beyond chat | Lead qualification for Sarah at RetailCo | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-3-c35c31cc952a.png) | `ev:gumloop·lead-qualification-for-sarah-at-retailco·agent-capability-beyond-chat` |
| Business logic and classification | Angry double-charge refund complaint with escalation triggers | ✓ worked | — | — | — | `ev:gumloop·angry-double-charge-refund-complaint-with-escalation-triggers·business-logic-and-classification` |
| Business logic and classification | Lead qualification on a borderline budget with a strong ops pain point | ✓ worked | — | — | — | `ev:gumloop·lead-qualification-on-a-borderline-budget-with-a-strong-ops-pain-point·business-logic-and-classification` |
| Business logic and classification | Angry subscription double-charge customer routing | ⚠ struggled | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-8-3c972020713f.png) | `ev:gumloop·angry-subscription-double-charge-customer-routing·business-logic-and-classification` |
| Business logic and classification | Lead qualification for Sarah at RetailCo | ✓ worked | — | — | — | `ev:gumloop·lead-qualification-for-sarah-at-retailco·business-logic-and-classification` |
| Business logic and classification | Borderline B2B lead qualification for QuickCart India | ✓ worked | — | — | — | `ev:gumloop·borderline-b2b-lead-qualification-for-quickcart-india·business-logic-and-classification` |
| Business logic and classification | Angry duplicate-charge customer routing case | ✓ worked | — | — | — | `ev:gumloop·angry-duplicate-charge-customer-routing-case·business-logic-and-classification` |
| Deployment options | cross-scenario | ✓ worked | — | — | — | `ev:gumloop·cross·deployment-options` |
| Human approval and guardrails | Email follow-up draft with approval gate for Vikram Singh | ✓ worked | — | — | — | `ev:gumloop·email-follow-up-draft-with-approval-gate-for-vikram-singh·human-approval-and-guardrails` |
| Human approval and guardrails | Email approval reply YES | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-17-b52f28686085.png) | `ev:gumloop·email-approval-reply-yes·human-approval-and-guardrails` |
| Human approval and guardrails | Email approval reply NO with requested changes | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-17-b52f28686085.png) | `ev:gumloop·email-approval-reply-no-with-requested-changes·human-approval-and-guardrails` |
| Human-in-the-loop control | Follow-up email draft with explicit human approval gate | ◐ mixed | — | — | — | `ev:gumloop·follow-up-email-draft-with-explicit-human-approval-gate·human-in-the-loop-control` |
| Human-in-the-loop control | Email approval reply NO with requested changes | ✓ worked | — | — | — | `ev:gumloop·email-approval-reply-no-with-requested-changes·human-in-the-loop-control` |
| Human-in-the-loop control | Email approval reply YES | ✓ worked | — | — | — | `ev:gumloop·email-approval-reply-yes·human-in-the-loop-control` |
| Human-in-the-loop control | Email follow-up draft with human approval gate for Vikram Singh at TechNova Solutions | ✓ worked | — | — | — | `ev:gumloop·email-follow-up-draft-with-human-approval-gate-for-vikram-singh-at-technova-solutions·human-in-the-loop-control` |
| Human-in-the-loop control | Email follow-up draft with human approval gate for Vikram Singh | ✓ worked | — | — | — | `ev:gumloop·email-follow-up-draft-with-human-approval-gate-for-vikram-singh·human-in-the-loop-control` |
| Instruction following accuracy | Company research on Lenskart for sales outreach | ✗ failed | — | — | — | `ev:gumloop·company-research-on-lenskart-for-sales-outreach·instruction-following-accuracy` |
| Instruction following accuracy | Angry double-charge refund complaint with escalation triggers | ⚠ struggled | — | — | — | `ev:gumloop·angry-double-charge-refund-complaint-with-escalation-triggers·instruction-following-accuracy` |
| Instruction following accuracy | Angry billing complaint with refund threat | ⚠ struggled | — | — | — | `ev:gumloop·angry-billing-complaint-with-refund-threat·instruction-following-accuracy` |
| Instruction following accuracy | Company research for Lenskart | ✗ failed | — | — | — | `ev:gumloop·company-research-for-lenskart·instruction-following-accuracy` |
| Instruction following accuracy | Leave policy Q&A plus leave request draft for Arjun Desai | ✓ worked | — | — | — | `ev:gumloop·leave-policy-q-a-plus-leave-request-draft-for-arjun-desai·instruction-following-accuracy` |
| Instruction following accuracy | Borderline B2B lead qualification for QuickCart India | ✓ worked | — | — | — | `ev:gumloop·borderline-b2b-lead-qualification-for-quickcart-india·instruction-following-accuracy` |
| Instruction following accuracy | Angry duplicate-charge customer routing case | ◐ mixed | — | — | 🧾 [proof](https://t9014651757.p.clickup-attachments.com/t9014651757/610eeba6-0301-4ec7-8422-3a719d500276/image.png) | `ev:gumloop·angry-duplicate-charge-customer-routing-case·instruction-following-accuracy` |
| Knowledge integration | Medical leave request grounded in an uploaded leave policy PDF | ◐ mixed | — | — | — | `ev:gumloop·medical-leave-request-grounded-in-an-uploaded-leave-policy-pdf·knowledge-integration` |
| Knowledge integration | Leave request with policy lookup for Arjun Desai | ✓ worked | — | — | — | `ev:gumloop·leave-request-with-policy-lookup-for-arjun-desai·knowledge-integration` |
| Knowledge integration | Leave policy Q&A plus leave request draft for Arjun Desai | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-6-1e77c86e96d3.png) | `ev:gumloop·leave-policy-q-a-plus-leave-request-draft-for-arjun-desai·knowledge-integration` |
| Knowledge integration | cross-scenario | ✗ failed | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-7-c24b3ddf4fa5.png) | `ev:gumloop·cross·knowledge-integration` |
| Knowledge retrieval | Medical leave request grounded in an uploaded leave policy PDF | ✓ worked | — | — | — | `ev:gumloop·medical-leave-request-grounded-in-an-uploaded-leave-policy-pdf·knowledge-retrieval` |
| Knowledge retrieval | Leave policy Q&A plus leave request draft for Arjun Desai | ✓ worked | — | — | 🧾 [proof](https://t9014651757.p.clickup-attachments.com/t9014651757/de294047-0446-4682-a4d3-f093c8722d74/FutureSmart-AI-Leave-Policy.pdf) | `ev:gumloop·leave-policy-q-a-plus-leave-request-draft-for-arjun-desai·knowledge-retrieval` |
| No-code setup | cross-scenario | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-2-abdf6d3f7365.png) | `ev:gumloop·cross·no-code-setup` |
| Observability | Email follow-up draft with approval gate for Vikram Singh | ✗ failed | — | — | — | `ev:gumloop·email-follow-up-draft-with-approval-gate-for-vikram-singh·observability` |
| Observability | cross-scenario | ✗ failed | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-19-99537edc8f3e.png) | `ev:gumloop·cross·observability` |
| Reliability | Company research for Lenskart | ✗ failed | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-15-6fb896fccf96.png) | `ev:gumloop·company-research-for-lenskart·reliability` |
| Reliability | Angry duplicate-charge customer routing case | ⚠ struggled | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-11-3c972020713f.png) | `ev:gumloop·angry-duplicate-charge-customer-routing-case·reliability` |
| Structured output | Angry double-charge refund complaint with escalation triggers | ⚠ struggled | — | — | — | `ev:gumloop·angry-double-charge-refund-complaint-with-escalation-triggers·structured-output` |
| Structured output | Lead qualification on a borderline budget with a strong ops pain point | ⚠ struggled | — | — | — | `ev:gumloop·lead-qualification-on-a-borderline-budget-with-a-strong-ops-pain-point·structured-output` |
| Structured output | High-intent lead qualification for RetailCo | ◐ mixed | — | — | — | `ev:gumloop·high-intent-lead-qualification-for-retailco·structured-output` |
| Structured output | Angry billing complaint with refund threat | ✓ worked | — | — | — | `ev:gumloop·angry-billing-complaint-with-refund-threat·structured-output` |
| Structured output | Company research for Lenskart | ✗ failed | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-16-d40332533058.png) | `ev:gumloop·company-research-for-lenskart·structured-output` |
| Structured output | Borderline lead qualification for QuickCart India | ✓ worked | — | — | — | `ev:gumloop·borderline-lead-qualification-for-quickcart-india·structured-output` |
| Structured output | Lead qualification for Sarah at RetailCo | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-3-c35c31cc952a.png) | `ev:gumloop·lead-qualification-for-sarah-at-retailco·structured-output` |
| Structured output | cross-scenario | ⚠ struggled | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-5-3e45855174b0.png) | `ev:gumloop·cross·structured-output` |
| Structured output | Leave policy Q&A plus leave request draft for Arjun Desai | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-6-1e77c86e96d3.png) | `ev:gumloop·leave-policy-q-a-plus-leave-request-draft-for-arjun-desai·structured-output` |
| Structured output | Angry duplicate-charge customer routing case | ✓ worked | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-10-32b8b937bc83.png) | `ev:gumloop·angry-duplicate-charge-customer-routing-case·structured-output` |
| Testing/debugging experience | Email follow-up draft with approval gate for Vikram Singh | ✗ failed | — | — | — | `ev:gumloop·email-follow-up-draft-with-approval-gate-for-vikram-singh·testing-debugging-experience` |
| Testing/debugging experience | Email approval reply NO with requested changes | ✗ failed | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-20-19f15704b9c5.png) | `ev:gumloop·email-approval-reply-no-with-requested-changes·testing-debugging-experience` |
| Tool and integration support | Follow-up email draft with explicit human approval gate | ✗ failed | — | — | — | `ev:gumloop·follow-up-email-draft-with-explicit-human-approval-gate·tool-and-integration-support` |
| Tool and integration support | Angry double-charge refund complaint with escalation triggers | ✗ failed | — | — | — | `ev:gumloop·angry-double-charge-refund-complaint-with-escalation-triggers·tool-and-integration-support` |
| Tool and integration support | Lead qualification on a borderline budget with a strong ops pain point | ✗ failed | — | — | — | `ev:gumloop·lead-qualification-on-a-borderline-budget-with-a-strong-ops-pain-point·tool-and-integration-support` |
| Tool and integration support | Borderline lead qualification for QuickCart India | ✗ failed | — | — | — | `ev:gumloop·borderline-lead-qualification-for-quickcart-india·tool-and-integration-support` |
| Tool and integration support | Leave request with policy lookup for Arjun Desai | ✗ failed | — | — | — | `ev:gumloop·leave-request-with-policy-lookup-for-arjun-desai·tool-and-integration-support` |
| Tool and integration support | Angry billing complaint with refund threat | ✗ failed | — | — | — | `ev:gumloop·angry-billing-complaint-with-refund-threat·tool-and-integration-support` |
| Tool and integration support | Email follow-up draft with approval gate for Vikram Singh | ✗ failed | — | — | — | `ev:gumloop·email-follow-up-draft-with-approval-gate-for-vikram-singh·tool-and-integration-support` |
| Tool and integration support | cross-scenario | ✗ failed | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-4-6204f6c9ddd6.png) | `ev:gumloop·cross·tool-and-integration-support` |
| Web research capability | Company research on Lenskart for sales outreach | ✗ failed | — | — | — | `ev:gumloop·company-research-on-lenskart-for-sales-outreach·web-research-capability` |
| Web research capability | Company research for Lenskart | ✗ failed | — | — | 🧾 [proof](https://d3epheqghktydj.cloudfront.net/gumloop-image-11-6fb896fccf96.png) | `ev:gumloop·company-research-for-lenskart·web-research-capability` |

> 🧾 = artifact-verified (proof captured) · 👁 = observed (noted, no artifact) · verdicts: worked / mixed / struggled / failed.

## Use Case Track Record

Gumloop passed 4 of 5 anchor tasks on the free tier; live company research was the only full failure.

- **#4** [Gumloop](https://aidemos.com/rankings/no-code-ai-agent-builders) — Passed lead qualification, leave-policy drafting, customer routing, and approval gating; failed company research on free-tier web search and leaked a system prompt.

> **Strong on structured business agents; weak on free-tier research and exact handoff fidelity.**
>
> Gumloop passed 4 of 5 anchor tasks in testing: lead qualification, leave-policy retrieval plus drafting, customer routing, and multi-turn approval gating all worked without code. The clear weak spot was company research on the free tier, where web search took minutes, returned no sources, and leaked a system prompt.

## Demo Recording

[Video: Gumloop demo recording](https://d3epheqghktydj.cloudfront.net/gumloop-gumloop-tool-demo-clean-cdcbb8a2bb55.mp4)
*Video — Clean screen-recording demo of Gumloop's agent builder and tested workflows.*

## Feature-by-Feature Breakdown

### Plain-English Agent Configuration

Gumloop lets a business user define agents from plain-English instructions without code or API setup. In testing, it was used to specify lead-qualification, leave-policy, customer-routing, company-research, and email-approval agents conversationally.

**Input:**

```
INPUT: Lead Qualification Agent instructions — classify a lead using Budget, Authority, Need, and Timeline; output Lead Score, Qualification Summary, and Recommended Action.
```

**Output:**

> **Image**

**Input:**

```
INPUT: Email Approval Agent instructions — draft an email, ask for YES/NO approval, and only mark it Ready to Send after explicit confirmation.
```

**Output:**

> **Image**

**Bottom line:** The core no-code setup works well: Gumloop can produce different business agents from plain English instructions without requiring code.

### Structured Classification and Routing

Gumloop can turn conversational inputs into reusable business decisions, such as a BANT-style lead verdict for a sales lead and a priority-based routing decision for a billing complaint. The same workflow pattern also supports structured classification outputs for different inbound cases.

**Input:**

```
INPUT: Customer routing test — a customer says they were charged twice, want a refund, and have waited 5 days with angry escalation language.
```

**Output:**

> **Image**

**Input:**

```
INPUT: Same customer routing test, checked for exact downstream handoff fidelity against the instructed routing map.
```

**Output:**

> **Image**

**Input:**

```
INPUT: Same customer routing test, checked for production-style case metadata in the structured output.
```

**Output:**

> **Image**

**Bottom line:** Structured classification is a strength, but the routing output drifted from the exact map and omitted standard support metadata like ticket ID, SLA timer, and sentiment score.

### Document-Grounded Answering and Drafting

Gumloop can read an uploaded PDF, answer questions from it, and use that information to draft a workflow output. In the leave-policy test it extracted entitlement and approval rules from the policy document and produced a leave request draft for Arjun Desai.

**Input:**

> **Pdf**

**Output:**

> **Image**

**Bottom line:** Good at policy retrieval plus drafting, but it is not a full HR workflow on the free tier because the PDF is not persistent and the response did not check remaining leave balance.

### Human Approval Gates and Revision Control

Gumloop supports approval checkpoints that pause a workflow before a risky action is finalized. In the email workflow it drafted an email, asked for YES/NO approval, produced a revised version after NO, and remembered prior approval state within the session.

**Input:**

```
INPUT: Email follow-up request for Vikram Singh at TechNova Solutions; draft an email, wait for approval, only mark Ready to Send after YES.
```

**Output:**

> **Image**

**Input:**

```
INPUT: Follow-up session after approval — user replies NO and asks for changes in the same thread.
```

**Input:**

```
INPUT: Revision comparison request after NO in the same approval session.
```

**Output:**

> **Image**

**Bottom line:** The approval gate itself is a standout strength, but the free tier keeps the workflow session-local with no audit trail or version comparison.

### Web Research Automation

Gumloop can launch live web research for a company-research workflow. In the Lenskart test it searched for several minutes and attempted to assemble a research brief from web sources.

**Input:**

```
INPUT: Company research request — company name Lenskart, website lenskart.com.
```

**Output:**

> **Image**

**Bottom line:** This is the clearest failure in the review: the free-tier research flow did not produce any of the required company fields and exposed internal instructions instead.

## Pricing & Access

Credit-based plans; the free tier was enough to test the core builder, but the free plan lacked direct integrations and persistent document storage in testing.

| Plan | Price | Notes |
| --- | --- | --- |
| Free ★ (tested) | $0/month | 5,000 credits/month, 1 seat, 1 active trigger, 2 concurrent runs, 5 concurrent agent interactions, unlimited agents and flows, forum support — sufficient for testing and prototyping. |
| Pro | $37/month (20% off with annual billing) | 20,000+ credits/month, unlimited seats and teams, 5 concurrent runs, 25 concurrent agent interactions, agent reflections, unified billing, connector policies and guardrails, 1 MCP server hosting. |
| Enterprise | Custom pricing | Everything in Pro, plus role-based access control, SCIM/SAML, admin dashboard, audit logs, data exports, incognito mode, virtual private cloud, 5 MCP server hosting. |

*Pricing checked June 2026; verify current plans on the official site.*

## Is It Right For You?

**Use it if**
- You want to build AI agents using plain-English instructions without writing code.
- You need structured business workflows such as lead qualification, routing, or approval-gated email drafts.
- You want a genuine human approval gate before a risky action is finalized.
- You are okay re-uploading reference documents at the start of each new conversation on the free tier.

**Skip it if**
- You need dependable, fast live web research on the free tier.
- You need a persistent knowledge base that survives across conversations.
- You need out-of-the-box CRM, email, HRMS, or ticketing integrations on the free plan.
- You need exact routing labels and strict downstream handoff fidelity.
- You need numerical lead scoring or weighted classification breakdowns.

## Classification

- **Category:** productivity
- **Subcategory:** agent-platforms
- **Type:** text

## Frequently Asked Questions

**Q: Do I need to know how to code to use Gumloop?**

No. In this review, the tested agents were configured with plain-English instructions rather than code or API setup.

**Q: What worked best on Gumloop in testing?**

Lead qualification, leave-policy retrieval plus drafting, customer routing, and multi-turn approval gating all worked well enough to pass their anchor tasks.

**Q: Can Gumloop read uploaded PDFs and use them in a workflow?**

Yes. It correctly read the FutureSmart AI leave policy PDF, answered from it, and used it to draft a leave request.

**Q: Does Gumloop keep uploaded documents between conversations?**

Not on the tested free tier. The leave-policy PDF had to be attached again at the start of each new conversation.

**Q: Can Gumloop pause for approval before sending an email?**

Yes. The email workflow asked for explicit YES or NO approval, and only moved to a ready state after approval.

**Q: Can Gumloop reliably do live web research?**

Not on the tested free tier. The Lenskart research run took about 6 to 7 minutes, returned no usable sources, and exposed internal instruction text.

**Q: Can Gumloop export or push results directly to CRM, HR, email, or ticketing tools on the free plan?**

In the free-tier tests, no connected CRM, HRMS, email, or ticketing integrations were available, and the outputs stayed as chat text that had to be copied manually.

**Q: Does Gumloop follow custom routing labels exactly?**

Mostly, but not always. In the billing routing test it correctly classified and prioritized the issue, but it invented a different team name instead of using the exact routing label provided.

**Q: What does the free plan include?**

The reviewed free plan was listed at $0/month and included 5,000 credits/month, 1 seat, 1 active trigger, 2 concurrent runs, 5 concurrent agent interactions, unlimited agents and flows, and forum support.

## Similar Tools

AI tools similar to Gumloop:

- [Relevance AI](https://aidemos.com/tools/relevance-ai) — A no-code builder for business agents that can reason, retrieve documents, search the web, and wait for approval.
- [Zapier AI Agents](https://aidemos.com/tools/zapier-ai-agents) — Build no-code business agents from plain English, with standout web research, routing precision, and approval handling.
- [Dust](https://aidemos.com/tools/dust) — Strongest for no-code agents grounded in internal documents, structured outputs, and approval gates, but weaker for live web research and free-tier integrations.
- [Pickaxe](https://aidemos.com/tools/pickaxe) — The simplest no-code agent builder for instruction-driven workflows, but unreliable for uploaded-document grounding.