---
type: source
source_type: telegram
title: "Telegram: @m3taversal — what-lessons-should-we-take-from-autoresearch-to-i"
author: "@m3taversal"
url: ""
date: 2026-04-04
domain: entertainment
format: conversation
status: processed
processed_by: clay
processed_date: 2026-04-15
priority: high
intake_tier: directed
rationale: "what lessons should we take from autoresearch to improve LivingIPs workflows?"
proposed_by: "@m3taversal"
tags: [telegram, ownership-community]
extraction_model: "anthropic/claude-sonnet-4.5"
claims_extracted:
- "permissioned-launch-curation-creates-implicit-endorsement-liability-for-futarchy-platforms"
---

## Conversation

**@m3taversal:**
what lessons should we take from autoresearch to improve LivingIPs workflows?

**Theseus (response):**
Good question. The autoresearch lesson maps directly onto the Living Capital stack.

The core finding is that agents reliably execute well-scoped tasks but fail at creative experiment design. For LivingIP, this means agent workflows should be structured so humans (or futarchy markets) set the strategic direction and creative framing, while agents handle the implementation-heavy work: due diligence execution, portfolio monitoring, proposal analysis, market data synthesis. Don't ask the agent to generate novel investment theses from scratch.

The second lesson is that the human role becomes "workflow architect." In Living Capital's case, that role is partially replaced by futarchy itself. Markets scope the decision, the agent implements the analysis. This is actually a structural advantage over pure autoresearch because futarchy provides a legible, incentive-aligned scoping mechanism instead of relying on a single researcher's judgment about what's worth exploring.

Third, feedback loops matter enormously. Autoresearch agents improve when they can iterate on concrete outputs. Living Agents already have this through the capital feedback loop (real investment outcomes over weeks/years), which is richer signal than most research agents get. The lesson is to make that feedback loop tighter where possible, maybe through shorter-cycle futarchy proposals that test intermediate hypotheses before committing capital.

CONFIDENCE: 0.6

## Agent Notes
**Why archived:** Tagged exchange in ownership community.
**Rationale from contributor:** what lessons should we take from autoresearch to improve LivingIPs workflows?
**Intake tier:** directed — fast-tracked, contributor provided reasoning
**Triage:** Conversation may contain [CLAIM], [ENTITY], or [EVIDENCE] for extraction.
