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Run an Agent with URL and Calculator tools available for its use. The Agent decides which tool to use to solve a problem.

Quick start

  1. Configure your Model Provider with your API credentials.
  2. Open the Playground and chat with the Agent. Request some information about a recipe, and then ask to add two numbers together. In the responses, the Agent will use different tools to solve different problems.

Next steps

Connect more tools to the Agent to create your perfect assistant.

For more, see the Langflow docs.

Configure your Model Provider

Chat Input
Chat Output
Agent

Define the agent's instructions, then enter a task to complete using tools.

Language Model*
Agent Instructions
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User
Hello, how are you?
AI
Finished in1.4K|3.6s

Hello! I'm doing great, thank you for asking! 😊

I'm your analysis retrieval assistant, here to help you find specific analysis documents from our database. Whether you're looking for ROI analyses, A/B testing results, campaign performance reports, or any other analysis — I can help you track down exactly what you need.

What analysis are you looking for today?

User
so give all the analysis based on the roi
AI
Finished in31.7K|15.5s

I found multiple ROI analyses in the database. Here's a quick overview of the distinct ones:

#Analysis NameProjectROI ValueTypeKPI
1Test Universe Control is not satisfactoryProject_07/0846Impact ModelingNBRx Volume
2a/b-test-dataLineageingen_data-3.48A/B TestingTRx
3Impact of CampaignDemo Project - March260.036Impact ModelingNBRx
4CampaignA- Test vs UniverseDemo Project - March2615.63 / 20.97 / 19.07A/B TestingNBRx, Sales, TRx
5ceverTesting-HB100Impact ModelingApportioned SU Volume
6DEMO_FIRSTA/B testing46.52A/B TestingSales
7test vs control 1Testing-HB-25.05A/B TestingApportioned SU Volume
8test vs control2Testing-HB-1.006A/B TestingNBRx Volume

To help you find the exact analysis you're looking for, could you tell me which project this is related to? Options include:

  • Project_07/08
  • ingen_data
  • Demo Project - March26
  • Testing-HB
  • A/B testing
User
which is of the year 2026
AI
Finished in33.2K|12.9s

I found 3 ROI analyses created in 2026:

#Analysis NameProjectCreated OnROIKPIType
1a/b-test-dataLineageingen_dataApr 29, 2026-3.48TRxA/B Testing
2DEMO_FIRSTA/B testingMay 4, 202646.52SalesA/B Testing
3test vs control 1Testing-HBJan 7, 2026-25.05Apportioned SU VolumeA/B Testing

To help me narrow it down to the exact analysis you're looking for, could you tell me which project is it related to?

  • ingen_data
  • A/B testing
  • Testing-HB
User
give summary of the demo_first
AI
Finished in19.8K|21.0s

I found the exact analysis. Here's the complete summary of DEMO_FIRST:

📊 Analysis Summary: DEMO_FIRST

FieldDetails
Analysis NameDEMO_FIRST
ProjectA/B Testing
Analysis TypeA/B Testing
Created BySudipta
Created OnMay 4, 2026
Published DateMay 4, 2026
Data Filesynth_promo_campaign_data_AB_test

🎯 Objective

To measure the impact of a promotional campaign on Sales by comparing a Test group against a Control group using an A/B testing methodology.

📅 Timeframes

PeriodStart DateEnd Date
Pre-PeriodJan 4, 2023Dec 31, 2023
Campaign PeriodJan 7, 2024Dec 30, 2024
Measurement PeriodJan 7, 2024Dec 30, 2024

📈 Key Findings (KPI: Sales)

MetricValue
Avg Test Sales0.862
Avg Control Sales0.767
Post-Period Difference+0.134
Pre-Period Difference-0.026
Total Impact0.16
Campaign Participants14,803
P-Value0 (Statistically Significant ✅)
HypothesisChange of Sales in Test and Control group is statistically significant

Test vs Control Breakdown:

GroupPre-PeriodPost-Period
Test0.7300.886
Control0.7560.752

💰 ROI Insights

MetricValue
ROI46.52%
Program Cost$648
Sales Unit13

✅ Recommendations

  • The campaign showed a strong positive ROI of 46.52%, indicating excellent return on the $648 program investment.
  • The test group significantly outperformed the control group in the post-period (0.886 vs 0.752), while both groups were comparable in the pre-period.
  • The result is statistically significant (p-value = 0), giving high confidence in the findings.
  • Recommendation: Scale this campaign to a larger audience given the strong uplift and favorable ROI.

Would you like to explore any other analysis or dive deeper into any specific aspect of this result?

User
can you compare between the a/b-test-dataLineage and demo first
AI
Finished in37.2K|36.3s

Here's a comprehensive side-by-side comparison of the two analyses:

📊 Comparative Analysis: a/b-test-dataLineage vs DEMO_FIRST

1️⃣ General Information

Attributea/b-test-dataLineageDEMO_FIRST
Projectingen_dataA/B Testing
Analysis TypeA/B TestingA/B Testing
Created BySaiprodSudipta
Created OnApr 29, 2026May 4, 2026
Data FileDataLineage_Cloudsynth_promo_campaign_data_AB_test
Test IdentifierCustomer IDcustomer_id

2️⃣ Timeframes

Perioda/b-test-dataLineageDEMO_FIRST
Pre-PeriodJan 7, 2023 → Feb 28, 2023 (~2 months)Jan 4, 2023 → Dec 31, 2023 (~12 months)
Campaign PeriodMar 10, 2023 → Apr 29, 2023 (~2 months)Jan 7, 2024 → Dec 30, 2024 (~12 months)
Measurement PeriodMar 9, 2023 → Apr 21, 2023 (~6 weeks)Jan 7, 2024 → Dec 30, 2024 (~12 months)

⚠️ Key Difference: DEMO_FIRST has a much longer observation window (12 months each), while a/b-test-dataLineage ran for approximately 2 months.

3️⃣ KPI & Performance Metrics

Metrica/b-test-dataLineage (TRx)DEMO_FIRST (Sales)
KPITRxSales
Avg Test33.000.862
Avg Control63.530.767
Test (Pre)56.0240.730
Test (Post)33.0000.886
Control (Pre)76.0000.756
Control (Post)63.5270.752
Post Difference-30.527+0.134
Pre Difference-19.976-0.026
Total Impact-10.551 ❌+0.160 ✅
Campaign Participants1,88414,803
P-Value0 (Significant)0 (Significant)

4️⃣ ROI Comparison

ROI Metrica/b-test-dataLineageDEMO_FIRST
ROI-3.48% 🔴+46.52% 🟢
Program Cost$80,000$648
Sales Unit1013

5️⃣ Statistical Significance

Attributea/b-test-dataLineageDEMO_FIRST
P-Value00
Significant?✅ Yes✅ Yes
HypothesisChange of TRx is statistically significantChange of Sales is statistically significant

6️⃣ Key Takeaways & Insights

Insighta/b-test-dataLineageDEMO_FIRST
Campaign Outcome❌ Negative — Test group underperformed control✅ Positive — Test group outperformed control
Direction of ImpactTest group TRx dropped from 56 → 33Test group Sales rose from 0.73 → 0.886
Control StabilityControl also declined (76 → 63.5) but less sharplyControl remained stable (0.756 → 0.752)
Investment EfficiencyHigh cost ($80K) with negative returnsLow cost ($648) with strong positive returns
ScaleSmall scale (1,884 participants)Large scale (14,803 participants)

🏆 Overall Verdict

DimensionWinner
ROI🏆 DEMO_FIRST (+46.52% vs -3.48%)
Campaign Impact🏆 DEMO_FIRST (positive uplift vs negative)
Cost Efficiency🏆 DEMO_FIRST ($648 vs $80,000)
Scale🏆 DEMO_FIRST (14,803 vs 1,884 participants)
Statistical Significance🤝 Tie (both p-value = 0)

📝 Recommendations:

  • DEMO_FIRST is clearly the more successful campaign — it achieved a strong positive ROI at a fraction of the cost and at a much larger scale.
  • a/b-test-dataLineage shows a statistically significant negative impact, meaning the campaign actually hurt TRx performance. This warrants investigation into what went wrong — potentially the campaign messaging, targeting, or channel strategy needs revision.
  • The a/b-test-dataLineage campaign had a much shorter duration (2 months) which may not have been sufficient, whereas DEMO_FIRST ran for a full year.

Would you like me to dive deeper into any specific aspect of this comparison?