Hex

Have a Real Conversation With Your Data—Ask, Refine, and Go Deeper

Researchers and analysts can ask follow-up questions within the same Hex thread context, enabling iterative exploratory analysis and hypothesis testing without losing context between queries.

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Painpoint

Analysts conducting exploratory work lose context between disconnected queries, making it slow and frustrating to test hypotheses and refine analysis over multiple steps.

Autohive solution

Autohive's Hex integration enables continuous multi-turn AI conversations within the same thread, so analysts can ask follow-up questions, pivot to new angles, and drill deeper—all without losing context.

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The Challenge

Exploratory data analysis rarely ends with the first answer. Analysts need to test hypotheses, follow unexpected leads, and refine their understanding through multiple rounds of questioning. But traditional query-based tools force researchers to start fresh with each new question, losing the thread of their investigation and context built up in earlier queries.

  • Each new query starts from scratch, losing the context of previous findings
  • Hypothesis testing requires multiple disconnected queries across different sessions
  • Analysts spend more time re-establishing context than exploring the actual data
  • Pivoting to a new angle mid-investigation requires rebuilding the entire analytical approach
  • Exploratory work slows down because the tools don’t support a natural investigative flow

The Autohive Solution

Autohive’s Hex integration transforms data analysis into a genuine dialogue. Researchers and analysts can initiate an AI-powered thread, receive initial results, and then continue the conversation with follow-up questions—all within the same contextual thread. The investigation builds naturally, with each question informed by the answers before it.

Context-Preserving Follow-Up Questions

Use the continue_thread capability to ask refined questions once an initial analysis reaches IDLE status. The Hex Threads Agent maintains full context of the conversation, enabling each follow-up to build intelligently on previous findings.

Natural Investigative Flow

Instead of a series of disconnected queries, analysts engage in a natural back-and-forth with their data. Pivot to a different angle, dig deeper into an anomaly, or test a new hypothesis—all within the same continuous thread.

Structured Hypothesis Testing

Formulate a hypothesis, receive AI-analyzed results, challenge the findings with a follow-up, and iterate until you reach a well-supported conclusion. The thread structure provides a natural scaffold for the scientific method applied to data analysis.

Benefits

  • Continuous context - Every follow-up question builds on what came before, eliminating the need to re-establish analysis context
  • Faster hypothesis testing - Test multiple angles within a single thread instead of running disconnected queries
  • Deeper insights - Multi-turn conversations naturally lead to richer, more nuanced findings than single queries
  • Natural workflow - Analysis mirrors how humans actually think through problems—iteratively and exploratorily
  • Complete audit trail - The full conversation history documents the analytical journey from initial question to final conclusion

How It Works

  1. Formulate your initial question - Create an AI data thread in Hex with your opening hypothesis or exploratory question
  2. Receive the initial analysis - Monitor thread status and review the AI-generated findings when the thread completes
  3. Identify follow-up angles - Based on initial results, determine what to explore next, refine, or challenge
  4. Continue the conversation - When the thread is IDLE, use continue_thread to add your follow-up question with full context preserved
  5. Iterate to conclusion - Repeat the cycle of questioning, analysis, and refinement until your hypothesis is validated or new insights emerge

Getting Started

  1. Sign up at app.autohive.com
  2. Connect the Hex integration from the marketplace
  3. Configure your analytical workflows to leverage multi-turn Hex thread conversations
  4. Deploy your agents and start conducting iterative, context-preserving data investigations
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