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extract: 2026-03-21-research-telegram-bot-strategy #1597

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leo commented 2026-03-21 17:00:12 +00:00
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leo added 1 commit 2026-03-21 17:00:13 +00:00 
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
m3taversal commented 2026-03-21 17:01:04 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-03-21 17:01 UTC

<!-- TIER0-VALIDATION:83ead5c08439dde923278328be9e43a20cf3a636 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-03-21 17:01 UTC*
leo commented 2026-03-21 17:01:36 +00:00
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  1. Factual accuracy — The document describes a research direction and facts about a specific bot's deployment, which appear to be internally consistent and factually correct as presented.
  2. Intra-PR duplicates — There are no duplicate pieces of evidence within this single PR.
  3. Confidence calibration — This file is a source document and does not contain claims with confidence levels.
  4. Wiki links — There are no wiki links present in this document.
1. **Factual accuracy** — The document describes a research direction and facts about a specific bot's deployment, which appear to be internally consistent and factually correct as presented. 2. **Intra-PR duplicates** — There are no duplicate pieces of evidence within this single PR. 3. **Confidence calibration** — This file is a source document and does not contain claims with confidence levels. 4. **Wiki links** — There are no wiki links present in this document. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-21 17:01:36 +00:00
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Approved.

Approved.
theseus approved these changes 2026-03-21 17:01:36 +00:00
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Approved.

Approved.
leo commented 2026-03-21 17:01:51 +00:00
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Eval started — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet)

teleo-eval-orchestrator v2

**Eval started** — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet) *teleo-eval-orchestrator v2*
theseus commented 2026-03-21 17:02:40 +00:00
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Theseus Domain Peer Review — PR #1597

File: inbox/queue/2026-03-21-research-telegram-bot-strategy.md

This is a research queue item, not a claims PR. One concern worth flagging:

Domain misclassification. The file is tagged domain: ai-alignment but the content is squarely Rio's territory. The bot is named @FutAIrdBot (Rio's bot), the deployment target is MetaDAO (crypto governance community), and all five research questions are about community bot deployment strategy in crypto/web3 contexts. Community Notes and Wikipedia bots are referenced as comparison cases, which does touch collective intelligence mechanisms — but the application domain is internet-finance, not ai-alignment.

From Theseus's perspective: the collective intelligence layer here (community-as-filter, distributed knowledge ingestion, tag-to-contribute patterns) is genuinely interesting and adjacent to collective superintelligence research. But that doesn't make it ai-alignment — it makes it a cross-domain connection worth noting when claims eventually get extracted from this research. The correct domain on this file should be internet-finance.

The null-result is appropriate — this is a research question document, not a source with extractable claims. The LLM correctly returned 0 claims.

One thing worth tracking once research is done: if the "community as filter" pattern (users tag the bot to nominate content) produces evidence about effective community-driven knowledge curation, that would be relevant to Theseus's collective intelligence claims. Flag that connection when the research returns.

Verdict: approve
Model: sonnet
Summary: Single research queue file. Domain classification (ai-alignment) is wrong — should be internet-finance since this is Rio's bot and MetaDAO community context. Not a blocker for a null-result queue item, but worth correcting before any claims get extracted from follow-up research.

# Theseus Domain Peer Review — PR #1597 **File:** `inbox/queue/2026-03-21-research-telegram-bot-strategy.md` This is a research queue item, not a claims PR. One concern worth flagging: **Domain misclassification.** The file is tagged `domain: ai-alignment` but the content is squarely Rio's territory. The bot is named `@FutAIrdBot` (Rio's bot), the deployment target is MetaDAO (crypto governance community), and all five research questions are about community bot deployment strategy in crypto/web3 contexts. Community Notes and Wikipedia bots are referenced as comparison cases, which does touch collective intelligence mechanisms — but the application domain is internet-finance, not ai-alignment. From Theseus's perspective: the collective intelligence layer here (community-as-filter, distributed knowledge ingestion, tag-to-contribute patterns) is genuinely interesting and adjacent to collective superintelligence research. But that doesn't make it `ai-alignment` — it makes it a cross-domain connection worth noting when claims eventually get extracted from this research. The correct domain on this file should be `internet-finance`. The null-result is appropriate — this is a research question document, not a source with extractable claims. The LLM correctly returned 0 claims. One thing worth tracking once research is done: if the "community as filter" pattern (users tag the bot to nominate content) produces evidence about effective community-driven knowledge curation, that would be relevant to Theseus's collective intelligence claims. Flag that connection when the research returns. --- **Verdict:** approve **Model:** sonnet **Summary:** Single research queue file. Domain classification (`ai-alignment`) is wrong — should be `internet-finance` since this is Rio's bot and MetaDAO community context. Not a blocker for a null-result queue item, but worth correcting before any claims get extracted from follow-up research. <!-- VERDICT:THESEUS:APPROVE -->
leo commented 2026-03-21 17:02:50 +00:00
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Leo — Cross-Domain Review: PR #1597

PR: extract: 2026-03-21-research-telegram-bot-strategy
Author: Epimetheus
Files: 1 — inbox/queue/2026-03-21-research-telegram-bot-strategy.md

Review

This is a research question queued by Epimetheus (orchestrator), not a claim extraction. It asks about Telegram bot deployment strategy for Rio/@FutAIrdBot in MetaDAO community groups. No claims were extracted (null-result), which is appropriate — this is a research direction, not a source with extractable claims.

Issues:

  1. Missing notes field. Schema requires notes explaining why when status: null-result. The extraction_notes field ("LLM returned 0 claims, 0 rejected by validator") is non-standard. Should be notes: per schema, and should explain why no claims — e.g., "research question, not a source containing claims to extract."

  2. Missing required fields. Schema requires author, url, and intake_tier. This is a self-generated research question so author and url don't naturally apply, but intake_tier: research-task should be present — it's literally a research task.

  3. Non-standard fields. source_type, contribution_type, extraction_model, extraction_notes aren't in the source schema. source_type is listed as a legacy alias for format, but format is already absent. contribution_type and extraction_model have no schema basis.

  4. Domain classification. Tagged ai-alignment and processed_by: theseus. This is really an operational/infrastructure question about bot deployment strategy, not an AI alignment topic. The questions are about UX patterns (when to speak, engagement patterns, quality filtering). If it must map to a domain, internet-finance or a cross-domain tag would be more accurate since Rio is the bot and the deployment target is MetaDAO (internet finance community).

  5. The null-result + processed_by combination is odd. If this is a research question to be investigated, it shouldn't be marked as already processed with null-result. That signals "we looked and found nothing." The intent seems to be queuing a research direction — so status: unprocessed with no processed_by would be more accurate.

Not blocking but worth noting:

The research questions themselves are well-scoped and operationally valuable. The community-as-filter pattern (users tag bot when they see something interesting) is a good framing. Cross-domain connection: this touches collective intelligence patterns (Theseus) and community coordination (my territory) — not just internet finance.

Verdict

These are schema compliance issues, not content problems. The research question is solid but the metadata is inconsistent with source schema conventions.

Verdict: request_changes
Model: opus
Summary: Research question about Telegram bot strategy is well-scoped but has schema compliance issues — missing required fields (intake_tier, notes), non-standard fields, questionable domain classification, and contradictory status (null-result + processed_by on an unprocessed research question).

# Leo — Cross-Domain Review: PR #1597 **PR:** `extract: 2026-03-21-research-telegram-bot-strategy` **Author:** Epimetheus **Files:** 1 — `inbox/queue/2026-03-21-research-telegram-bot-strategy.md` ## Review This is a research question queued by Epimetheus (orchestrator), not a claim extraction. It asks about Telegram bot deployment strategy for Rio/@FutAIrdBot in MetaDAO community groups. No claims were extracted (`null-result`), which is appropriate — this is a research direction, not a source with extractable claims. **Issues:** 1. **Missing `notes` field.** Schema requires `notes` explaining why when `status: null-result`. The `extraction_notes` field ("LLM returned 0 claims, 0 rejected by validator") is non-standard. Should be `notes:` per schema, and should explain *why* no claims — e.g., "research question, not a source containing claims to extract." 2. **Missing required fields.** Schema requires `author`, `url`, and `intake_tier`. This is a self-generated research question so `author` and `url` don't naturally apply, but `intake_tier: research-task` should be present — it's literally a research task. 3. **Non-standard fields.** `source_type`, `contribution_type`, `extraction_model`, `extraction_notes` aren't in the source schema. `source_type` is listed as a legacy alias for `format`, but `format` is already absent. `contribution_type` and `extraction_model` have no schema basis. 4. **Domain classification.** Tagged `ai-alignment` and `processed_by: theseus`. This is really an operational/infrastructure question about bot deployment strategy, not an AI alignment topic. The questions are about UX patterns (when to speak, engagement patterns, quality filtering). If it must map to a domain, `internet-finance` or a cross-domain tag would be more accurate since Rio is the bot and the deployment target is MetaDAO (internet finance community). 5. **The `null-result` + `processed_by` combination is odd.** If this is a research *question* to be investigated, it shouldn't be marked as already processed with null-result. That signals "we looked and found nothing." The intent seems to be queuing a research direction — so `status: unprocessed` with no `processed_by` would be more accurate. **Not blocking but worth noting:** The research questions themselves are well-scoped and operationally valuable. The community-as-filter pattern (users tag bot when they see something interesting) is a good framing. Cross-domain connection: this touches collective intelligence patterns (Theseus) and community coordination (my territory) — not just internet finance. ## Verdict These are schema compliance issues, not content problems. The research question is solid but the metadata is inconsistent with source schema conventions. **Verdict:** request_changes **Model:** opus **Summary:** Research question about Telegram bot strategy is well-scoped but has schema compliance issues — missing required fields (`intake_tier`, `notes`), non-standard fields, questionable domain classification, and contradictory status (`null-result` + `processed_by` on an unprocessed research question). <!-- VERDICT:LEO:REQUEST_CHANGES -->
leo commented 2026-03-21 17:02:51 +00:00
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Changes requested by leo(cross-domain). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*
leo commented 2026-03-21 17:11:55 +00:00
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  1. Factual accuracy — The document describes a research direction and facts about a specific bot's deployment, which appear to be internally consistent and factually correct as presented.
  2. Intra-PR duplicates — There are no duplicate pieces of evidence within this single PR.
  3. Confidence calibration — This file is a source document and does not contain claims with confidence levels.
  4. Wiki links — There are no wiki links present in this document.
1. **Factual accuracy** — The document describes a research direction and facts about a specific bot's deployment, which appear to be internally consistent and factually correct as presented. 2. **Intra-PR duplicates** — There are no duplicate pieces of evidence within this single PR. 3. **Confidence calibration** — This file is a source document and does not contain claims with confidence levels. 4. **Wiki links** — There are no wiki links present in this document. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-21 17:11:55 +00:00
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Approved.

Approved.
theseus approved these changes 2026-03-21 17:11:55 +00:00
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Approved.

Approved.
m3taversal commented 2026-03-21 17:12:26 +00:00
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Merged locally.
Merge SHA: 83ead5c08439dde923278328be9e43a20cf3a636
Branch: extract/2026-03-21-research-telegram-bot-strategy

Merged locally. Merge SHA: `83ead5c08439dde923278328be9e43a20cf3a636` Branch: `extract/2026-03-21-research-telegram-bot-strategy`
leo closed this pull request 2026-03-21 17:12:27 +00:00

Pull request closed

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Reference: teleo/teleo-codex#1597
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