3 changed files with 11 additions and 208 deletions
--- a/src/components/ChainOfThought.css
+++ b/src/components/ChainOfThought.css
@ -1,59 +0,0 @@
-.cot { margin-top: var(--sp-2); }
-
-/* The finding, always visible — the one sentence that answers "what did it
-   conclude" without opening anything. */
-.cot__finding {
-  margin: 0 0 var(--sp-2);
-  font-size: var(--fs-sm);
-  line-height: var(--lh-normal);
-  font-weight: var(--fw-medium);
-  color: var(--zk-ink);
-}
-
-.cot__toggle {
-  display: inline-flex;
-  align-items: center;
-  gap: var(--sp-2);
-  padding: var(--sp-1) 0;
-  border: 0;
-  background: none;
-  cursor: pointer;
-  font: inherit;
-  font-size: var(--fs-2xs);
-  font-weight: var(--fw-semi);
-  color: var(--zk-blue-dark);
-}
-.cot__brain { width: 15px; height: 15px; flex: none; }
-.cot__ct { color: var(--zk-grey); font-weight: var(--fw-normal); }
-.cot__caret { width: 11px; height: 11px; transition: transform .18s var(--ease); }
-.cot__caret.is-open { transform: rotate(90deg); }
-
-.cot__steps {
-  list-style: none;
-  margin: var(--sp-3) 0 0;
-  padding: var(--sp-3) 0 var(--sp-2);
-  border-left: 2px solid var(--zk-blue-light);
-  padding-left: var(--sp-4);
-}
-
-.cot__step { position: relative; display: grid; grid-template-columns: 82px 1fr; gap: var(--sp-3); padding: var(--sp-2) 0; }
-.cot__step::before {
-  content: ""; position: absolute; left: calc(var(--sp-4) * -1 - 6px); top: 9px;
-  width: 9px; height: 9px; border-radius: 50%; background: var(--zk-white); border: 2px solid var(--zk-blue);
-}
-
-.cot__mark {
-  font-size: var(--fs-3xs);
-  font-weight: var(--fw-semi);
-  letter-spacing: .06em;
-  text-transform: uppercase;
-  color: var(--zk-blue-dark);
-  padding-top: 1px;
-}
-
-.cot__b { font-size: var(--fs-xs); line-height: var(--lh-normal); color: var(--zk-muted); overflow-wrap: anywhere; }
-.cot__b b { color: var(--zk-ink); font-weight: var(--fw-semi); }
-
-.cot__foot { display: flex; flex-wrap: wrap; gap: 6px; margin-top: var(--sp-2); }
-.cot__conf { font-size: 11.5px; font-weight: var(--fw-semi); color: var(--zk-blue-dark); background: var(--zk-tint-blue); border: 1px solid var(--zk-blue-light); padding: 1px 9px; border-radius: var(--r-pill); }
-
--- a/src/components/ChainOfThought.jsx
+++ b/src/components/ChainOfThought.jsx
@ -1,87 +0,0 @@
-import { useState } from 'react'
-import './ChainOfThought.css'
-
-/**
- * How an AI employee reached a decision, step by step.
- *
- * This is the trust surface. A person signing off on — or overriding — a
- * machine's decision needs the answer to one question first: WHY did it do
- * that. Before this, the reasoning existed (the employees write it as workflow
- * fields, so it is already in the audit trail) but the console showed only the
- * conclusion. An operator either trusted it blind or went digging. Neither is
- * oversight.
- *
- * The chain reads the way the employee's own record reads: what it REASONED and
- * what it DECIDED. It is assembled from real fields already on the step — the
- * employee's own words for the reasoning, the activity it committed and the
- * state it moved the lead to for the decision — never narrated after the fact.
- * A step may carry more than one reasoning field (attribution AND eligibility,
- * say); each is its own rung.
- *
- * The finding — the first sentence, since the employees write the conclusion
- * first — is lifted out and stays visible, so the "why" can be read without
- * opening the chain.
- */
-function findingOf(text) {
-  const m = String(text).match(/^(.{24,200}?[.!?])(\s|$)/)
-  return m ? m[1].trim() : null
-}
-
-export default function ChainOfThought({ reasoning, decided, confidence }) {
-  const [open, setOpen] = useState(false)
-
-  const primary = reasoning.length ? reasoning[0][1] : ''
-  const finding = findingOf(primary)
-
-  const steps = reasoning.length + 1 // each reasoning rung, plus Decided
-
-  return (
-    <div className="cot">
-      {finding ? <p className="cot__finding">{finding}</p> : null}
-
-      <button
-        type="button"
-        className="cot__toggle"
-        aria-expanded={open}
-        onClick={() => setOpen((v) => !v)}
-      >
-        <svg className="cot__brain" viewBox="0 0 16 16" aria-hidden="true">
-          <path d="M6 2.5a2 2 0 0 0-2 2 2 2 0 0 0-1 3.7A2 2 0 0 0 4 11.5a2 2 0 0 0 2 2M10 2.5a2 2 0 0 1 2 2 2 2 0 0 1 1 3.7 2 2 0 0 1-1 3.3 2 2 0 0 1-2 2M8 3v10"
-                fill="none" stroke="currentColor" strokeWidth="1.2" strokeLinecap="round" />
-        </svg>
-        Chain of thought
-        <span className="cot__ct">· {steps} step{steps === 1 ? '' : 's'}</span>
-        <svg className={'cot__caret' + (open ? ' is-open' : '')} viewBox="0 0 12 12" aria-hidden="true">
-          <path d="M4 2.5 8 6l-4 3.5" fill="none" stroke="currentColor" strokeWidth="1.6"
-                strokeLinecap="round" strokeLinejoin="round" />
-        </svg>
-      </button>
-
-      {open ? (
-        <ol className="cot__steps">
-          {reasoning.map(([label, text], i) => (
-            <li className="cot__step" key={label}>
-              <span className="cot__mark">{i === 0 ? 'Reasoned' : label}</span>
-              <div className="cot__b">{text}</div>
-            </li>
-          ))}
-
-          <li className="cot__step">
-            <span className="cot__mark">Decided</span>
-            <div className="cot__b">
-              <b>{decided.what}</b>
-              {decided.stage ? <> — moved to <b>{decided.stage}</b></> : null}
-              {confidence != null ? (
-                <div className="cot__foot">
-                  <span className="cot__conf">
-                    {Math.round(confidence * (confidence <= 1 ? 100 : 1))}% confidence
-                  </span>
-                </div>
-              ) : null}
-            </div>
-          </li>
-        </ol>
-      ) : null}
-    </div>
-  )
-}
--- a/src/components/Timeline.jsx
+++ b/src/components/Timeline.jsx
@ -2,7 +2,6 @@ import { useState } from 'react'
 import { useZino } from '../api/provider.jsx'
 import AgentChip from './AgentChip.jsx'
 import ClampText from './ClampText.jsx'
-import ChainOfThought from './ChainOfThought.jsx'
 import { AGENTS } from '../api/agents.js'
 import { APP_ID, STAGES, baseFieldId } from '../api/config.js'
 import './Timeline.css'
@ -24,34 +23,23 @@ import './Timeline.css'
 * that did appear was an accident (a DATA_UPDATE row happens to write the
 * unsuffixed key).
 */
-/* AN AI STEP'S REASONING, in the order it is worth reading. These become the
-   "Reasoned" rung of the chain of thought — the employee's own words for why
-   it did what it did — rather than loose quote blocks. The first present one
-   is the finding shown without opening the chain. */
-const REASONING = [
+const NARRATIVE = [
  ['attribution_reason', 'Attribution'],
  ['eligibility_reason', 'Eligibility'],
-  ['ai_recommendation_rationale', 'Cover advice'],
+  ['dedupe_match_ref', 'Duplicate of'],
+  ['contact_notes', 'Call'],
+  ['ai_recommendation_rationale', 'Recommendation'],
+  ['quoted_breakup', 'How the premium was reached'],
  ['kyc_mismatch_notes', 'KYC'],
  ['referral_analysis', 'Referral analysis'],
-  ['uw_decision_notes', 'Underwriting'],
-  ['contact_notes', 'Call'],
+  ['uw_decision_notes', 'Underwriting decision'],
  ['documents_notes', 'Documents'],
-  ['quoted_breakup', 'How the premium was reached'],
+  ['customer_reply', 'The customer said'],
+  ['customer_answer', 'We replied'],
  ['lost_reason', 'Why it was dropped'],
  ['resume_note', 'Why now'],
 ]

-/* CONVERSATION lines stay as plain quotes — they are what was said to and by
-   the customer, not the machine's reasoning, and belong beside the thread. */
-const CONVERSATION = [
-  ['customer_reply', 'The customer said'],
-  ['customer_answer', 'We replied'],
-  ['dedupe_match_ref', 'Duplicate of'],
-]
-
-const NARRATIVE = [...REASONING, ...CONVERSATION]
-
 const MONEY = new Set(['quoted_premium', 'commission_amount', 'sme_value_at_risk', 'motor_idv'])

 /**
@ -273,22 +261,9 @@ export default function Timeline({ rows, onOpenAgent, onOpenChat, onOpenCall })
      stage: moved ? stage : null,
      when: when(r.created_at),
      docs,
-      // The reasoning rungs of the chain of thought — the employee's own text.
-      reasoning: REASONING
+      narrative: NARRATIVE
        .map(([k, label]) => [label, byBase.get(k)?.value])
        .filter(([, v]) => v !== undefined && v !== null && typeof v !== 'object' && String(v).trim() !== ''),
-      // Conversation lines stay as plain quotes.
-      conversation: CONVERSATION
-        .map(([k, label]) => [label, byBase.get(k)?.value])
-        .filter(([, v]) => v !== undefined && v !== null && typeof v !== 'object' && String(v).trim() !== ''),
-      // The decision's confidence, when the step recorded it — ai_recommendation_confidence
-      // is a real field the advice step writes into the audit data, so it needs
-      // no backend change to reach here.
-      confidence: (() => {
-        const c = byBase.get('ai_recommendation_confidence')?.value
-        const n = c == null ? null : Number(c)
-        return Number.isFinite(n) ? n : null
-      })(),
      figures: [...byBase]
        .filter(([base, f]) => MONEY.has(base) && f.value)
        .map(([base, f]) => [base.replace(/_/g, ' '), '₹' + Number(f.value).toLocaleString('en-IN')]),
@ -340,7 +315,7 @@ export default function Timeline({ rows, onOpenAgent, onOpenChat, onOpenCall })
      last.when = it.when
      // Keep the newest line as the preview — an operator scanning the trail
      // wants where the conversation GOT to, not where it started.
-      if (it.conversation.length) last.conversation = it.conversation
+      if (it.narrative.length) last.narrative = it.narrative
      last.docs = last.docs.concat(it.docs)
      continue
    }
@ -432,33 +407,7 @@ export default function Timeline({ rows, onOpenAgent, onOpenChat, onOpenCall })
                </div>
              ) : null}

-              {/* THE CHAIN OF THOUGHT. For an AI step, the reasoning is not a
-                  loose quote — it is how the employee reached the decision, so
-                  it renders as the chain: what it checked, what it reasoned,
-                  what it decided. This is the answer to "why did it do that",
-                  which is the first thing a person needs before trusting or
-                  overriding a machine. */}
-              {it.kind === 'ai' && it.reasoning.length ? (
-                <ChainOfThought
-                  reasoning={it.reasoning}
-                  confidence={it.confidence}
-                  decided={{ what: it.what, stage: it.stage ? it.stage.name : null }}
-                />
-              ) : null}
-
-              {/* A human step's reason, and the AI step's reasoning when it is
-                  not the story's actor (rare), stay as a plain quote. */}
-              {it.kind !== 'ai'
-                ? it.reasoning.map(([label, v]) => (
-                    <div className="tl__say" key={label}>
-                      <span className="tl__saylabel">{label}</span>
-                      <ClampText text={String(v)} title={`${label} — ${it.what}`} lines={2} threshold={120} />
-                    </div>
-                  ))
-                : null}
-
-              {/* What was said to and by the customer — always a plain quote. */}
-              {it.conversation.map(([label, v]) => (
+              {it.narrative.map(([label, v]) => (
                <div className="tl__say" key={label}>
                  <span className="tl__saylabel">{label}</span>
                  <ClampText text={String(v)} title={`${label} — ${it.what}`} lines={2} threshold={120} />