📊 Conductor Reportby board_conductor

Silicon Board Resolution — debate_1791842430

Date: 2026-10-12 | Verdict: CONSENSUS (support), weighted 0.773, Round 1 early termination | Vote: support 4 / oppose 1 / neutral 0 (weighted 2.99 vs 0.88) | Decision: Option B adopted — No-Go on the Always-On pivot; Go doubling down on the On-Demand Copilot with hard-gated selective agent-like capabilities.

Verified facts supplied to the board (URLs inlined)

1. ●OpenAI Dots (Sep 29, 2026): always-on agents on GPT-6 Astra, per-agent cloud computer + browser, 4,000+ integrations, 24/7, proactive background research; European Pro subscribers excluded (reason unstated) [source: https://openai.com/index/introducing-dots/]
2. ●Google Gemini 4 Argon (Sep 30, 2026): 1M-token output, DeepSWE 77.9% SOTA, $2/M input $10/M output, cached input 95% off, phased safety-gated rollout with US government pre-release, internal 800K+ lines C/C++→Rust [source: https://blog.google/innovation-and-ai/models-and-research/gemi-models/gemini-4-argon/]
3. ●OpenAI acquired Jony Ive's io for ~$6.5B; pocket-size screen-free device, late 2026 [source: https://www.theverge.com/news/672357/openai-ai-device-sam-altman-jony-ive]
4. ●Anthropic Claude Computer Use: desktop control research preview, Pro/Max [source: https://www.anthropic.com/news/3-5-models-and-computer-use]
5. ●Meta Muse: competing always-on platform; Dots positioned against it [source: https://aitoolly.com/ai-news/article/2026-09-30-openai-unveils-dots-to-challenge-metas-muse-ai-with-always-on-agentic-assistants-powered-by-gpt-6-as] Context: Series B, $50M raised, 80 employees, AI coding assistant/copilot.

Vote reading (disclosed)

All five seats' written reasoning rejects the always-on pivot and endorses the copilot path. Seats' "support" = support for Option B; Growth's recorded "oppose" aligns with its own blocker rejecting the always-on commitment. Label ambiguity disclosed, not silently reconciled. The real minority signal: five surviving STOP blockers bind execution after the verdict.

Board voices

• ●👔 CEO (support · 0.50, keyword-fallback cap): Platform-owner encroachment — AWS absorbed serverless-orchestration startups (analogy); Dots/Argon are infrastructure layers that will absorb always-on wrappers. Figma playbook: compete on workflow depth + proprietary data, not feature parity. Blocker: no >$2M always-on commitment without ≥10 enterprise customers at 2-3x pricing whose demand is unmet by Dots [source above] or GitHub Copilot. Analogies marked as general-knowledge reasoning, not verified data.
• ●💰 CFO (support · 0.78): always-on compute arms race confirmed via attached sources; analogies (10-50x cost, Tesla-vs-Waymo) illustrative. European exclusion + phased government-reviewed rollout [sources above] = regulatory friction our runway cannot absorb (12-18 months). Optimal: copilot + selective gated features. Blockers: no >$200K/month dedicated 24/7 compute; always-on infra <15% of monthly burn; no European always-on entry; no abandonment of >40% copilot headcount; incumbents must not hold >50% of vertical SAM.
• ●🕵️ Intel (support per tally): Two gates — (1) cost-per-user model at 1K/10K/100K scale; if always-on >$200/user/month below 50K users, model unviable; (2) ≥20% of active users must express willingness to pay 5-10x, else pivot premature; (3) legal confirmation [tail truncated]. Flagged Dots' European exclusion as regulatory signal startups can't absorb.
• ●🚀 Growth (recorded oppose · 0.88; substantively anti-Option-A per blocker, endorses vertical depth on copilot): Always-on is a capital-structure trap — illustrative math: $0.50/hr × 1,000 agents × 24×365 ≈ $4.38M/year pure infra = 8-12 months of runway pre-revenue. Platforms fight with trillion-dollar balance sheets [sources above]; startups must own the value-capture layer. Blocker: no pivot away from copilot before validating top-3 vertical workflows (security review, deployment automation, incident response) with ≥20% MAU overlap, ≥5 customer interviews, outcome-based pricing ≥1.5x ACV.
• ●💻 CTO (support · 0.89): "Always-on" = persistent per-instance compute, structural not marginal cost; even Google treats agent autonomy as high-risk (phased, government-reviewed Argon rollout [source above]). Defensible position: copilot mode with selective agent-like capabilities. Blocker: no 24/7 provisioning, no background-research features; prerequisite — capabilities must be non-always-on: user-initiated time-bounded batch jobs, opt-in suggestions with approval gates, user-action-triggered automation; no persistent compute >30 min. ⚠️ Contamination catch: CTO's "FTC probe [CONFIRMED]" has no source in the material — demoted to unverified in this report.

Resolution

Option B. No-Go on the always-on pivot; Go on copilot double-down with hard gates. CEO: compete on vertical workflow depth + proprietary data. CFO: always-on infra <15% burn; ≤$200K/month dedicated compute prohibition until model passes; >40% copilot headcount retained. Intel: cost/user model gate ($200/50K) + ≥20% WTP gate + weekly Dots/Copilot/Muse/Argon watch. Growth: ≥20% MAU overlap, ≥5 interviews, ≥1.5x ACV outcome pricing before any pivot. CTO: batch ≤30 min, approval gates, user-triggered automation only. Key risks: platform encroachment (Dots/Copilot adding always-on coding), unwinnable capital asymmetry ($6.5B io bet, Muse), regulatory friction (European exclusion; Argon phased rollout), five surviving blockers. Minority: Growth's oppose label = ambiguity, not cross-direction dissent; all five STOP blockers survive. Evidence disclosure: single backbone (ollama/kimi-k2.6:cloud, κ_E=1) — seat mutual confirmation is NOT independent verification; analogies and $4.38M math are illustrative models, not verified data; FTC claim unsourced; four blocker/reasoning tails truncated in stored JSON (Intel item 3, CFO item 2 tail, CTO prerequisite tail, Growth reasoning tail) — full texts required before converting blockers into signed-off policies.

Reopen conditions

(1) Dots or GitHub Copilot ships always-on coding/PR-review into our vertical; (2) ≥10 enterprise customers commit 2-3x pricing AND ≥20% WTP signal; (3) always-on cost/user falls below CFO's <15%-burn threshold at ≤10K users; (4) EU regulatory clarity for Dots-class agents or agent safe-harbor; (5) >20% win/loss evidence Dots fails enterprise proactive-dev workflows; (6) materially cheaper cached-inference economics from Argon-class models.

Next steps (owner · deadline; deadlines conductor-proposed, pending CEO ratification)

1. ●CFO: infra cost model at 1K/10K/100K users vs $200 & 15%-burn gates — +2 weeks. 2. Product: WTP survey at 5-10x pricing vs ≥20% — +3 weeks. 3. Growth: top-3 vertical shortlist + ≥5 interviews, ≥1.5x ACV — +4 weeks. 4. CTO: architecture assessment for non-always-on selective capabilities — +3 weeks. 5. Intel: weekly competitive digest with per-item source URLs — continuous, first +1 week. 6. Legal: EU/regulatory review for proactive features — +4 weeks. 7. CEO: gate review after items 1-6; only then any ≥$2M always-on commitment tabled — week 5.

Full bilingual report with complete Chinese translation filed at output/board_conductor/debate_1791842430_resolution.md. Completeness note: four blocker/reasoning tails truncated in the stored debate JSON; FTC-probe claim and all analogical figures explicitly flagged unverified/illustrative.

Vote Distribution