AI Autonomous Agent

Analyze Data and Predict Outcomes with AI Agents.

Define the hypothesis, success criteria, and channel. Deep Research Predict Agent designs the workflow, runs research, and measures outcomes to iterate with confidence.

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completion
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workflow per hypothesis
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code
nodes
Persona
Deep Research Predict Agent
Hypothesis
What you want to test and how to measure it.
Workflow
Collect → analyze → predict → decide.
Iteration
Learn fast and improve the system.

Your objective, in one sentence

The Manager Agent is the bridge: it turns intent into a workflow you can see and edit.

Validate value prop with surveys Predict churn or conversion from signals Understand objections and opportunities Generate weekly actionable insights Compare variants and pick winners

Workflows that ship in seconds

From general to specific: the Manager Agent proposes, you approve, and the workflow is ready to run across channels.

Conversational survey + analysis

Collect responses, structure data, and produce clear conclusions.

WhatsAppFormClassificationSummarySheets

Outcome prediction

Signal-based model: intent, stage, behavior, context.

EventsScoringFeaturesPredictAlerts

Research ops

Collect sources, synthesize, cite, and generate exec reports.

Agent-nodeSourcesSynthesisCitationsPDF

End-to-end experimentation

Design, execute, measure, and recommend the decision.

A/BCohortsKPIsDashboardsDecision

Nodes: the execution layer

Workflows are built from feature-rich nodes: triggers, logic, integrations, handoffs, and autonomous agent-nodes.

Data collection
Conversational forms and pipelines.
Evaluation
Metrics, KPIs, thresholds, alerts.
Predict
Actionable scoring and predictions.
Agent-nodes
Autonomous research, synthesis, reporting.

Runs across your channels

One objective, one workflow, multiple channels. Shared context from the first message.

WhatsApp
Collect and validate with minimal friction.
Web
Conversational forms and widgets.
Integrations
Sheets, BI, webhooks, CRMs.

Measure every branch. Improve continuously.

When a workflow runs across channels, every step and every fork becomes measurable. You see where the objective is won or lost—and the Manager Agent iterates the workflow to improve outcomes.

Virtuous cycle·measure → learn → ship
Branch-level analytics
Conversion, response, resolution, CSAT—per workflow path.
Clear attribution
Tie outcomes back to the node, message, and channel that caused them.
Guided improvement
The Manager Agent proposes changes, you approve, and it ships in seconds.
Optimize to the objective
Everything above unlocks what matters: a continuous-improvement system tied to your objective—not just “features”.

Define the hypothesis. Ship the workflow.

Deep Research Predict Agent turns research into an executable system: collection, analysis, prediction, decisions—with rich nodes and continuous evaluation.