diff --git a/runsum.mts b/runsum.mts
deleted file mode 100644
index 5eaf338..0000000
--- a/runsum.mts
+++ /dev/null
@@ -1,119 +0,0 @@
-/**
- * One-off: summarise a project's commits from the command line.
- *
- * Imports the same PURE modules the app uses — batch.ts, preamble.ts,
- * prompt.ts — so the prompts, the batching and the index-matched parsing are
- * byte-identical to what the "Summarise" button does. Only the surrounding
- * plumbing (which carries `server-only`) is reimplemented here.
- */
-import PocketBase from "pocketbase";
-
-import { BATCH_SIZE, buildBatchPrompt, chunk, parseBatchResponse } from "./src/lib/ai/batch";
-import { PROMPT_VERSION } from "./src/lib/ai/preamble";
-import { buildSystemPrompt } from "./src/lib/ai/prompt";
-import { stripThinking } from "./src/lib/ai/think-strip";
-
-async function main() {
-  const pb = new PocketBase(process.env.NEXT_PUBLIC_PB_URL!);
-  pb.autoCancellation(false);
-  await pb
-    .collection("_superusers")
-    .authWithPassword(process.env.PB_SUPERUSER_EMAIL!, process.env.PB_SUPERUSER_PASSWORD!);
-
-  const settings = await pb.collection("settings").getFirstListItem("id != ''");
-  const key: string = settings.ai_api_key ?? "";
-  const model: string = settings.ai_model || "MiniMax-M2";
-  if (!key) throw new Error("No API key configured — paste it in Settings first.");
-
-  const system = buildSystemPrompt(settings.ai_system_prompt_extra ?? "");
-
-  const pending = await pb.collection("commits").getFullList({
-    filter: [
-      "is_merge = false",
-      `(summary = "" || summary_version < ${PROMPT_VERSION})`,
-      "summary_attempts < 3",
-    ].join(" && "),
-    sort: "-authored_at",
-    fields: "id,subject,type,scope,summary_attempts",
-  });
-
-  console.log(`provider=${settings.ai_provider} model=${model}`);
-  console.log(`pending commits: ${pending.length}`);
-  if (pending.length === 0) return;
-
-  const batches = chunk(
-    pending.map((c) => ({
-      id: c.id,
-      subject: (c.subject as string) || "",
-      type: (c.type as string) || "other",
-      scope: (c.scope as string) || "",
-    })),
-    BATCH_SIZE
-  );
-
-  let summarised = 0;
-  let missing = 0;
-  let inTok = 0;
-  let outTok = 0;
-
-  for (const [index, batch] of batches.entries()) {
-    process.stdout.write(`  batch ${index + 1}/${batches.length} … `);
-
-    let text = "";
-    try {
-      const res = await fetch("https://api.minimax.io/v1/chat/completions", {
-        method: "POST",
-        headers: { "content-type": "application/json", authorization: `Bearer ${key}` },
-        body: JSON.stringify({
-          model,
-          max_tokens: 4096,
-          n: 1,
-          messages: [
-            { role: "system", content: system },
-            { role: "user", content: buildBatchPrompt(batch) },
-          ],
-        }),
-      });
-
-      if (!res.ok) {
-        console.log(`HTTP ${res.status} — ${(await res.text()).slice(0, 120)}`);
-        continue;
-      }
-
-      const json = await res.json();
-      text = stripThinking(json.choices?.[0]?.message?.content ?? "");
-      inTok += json.usage?.prompt_tokens ?? 0;
-      outTok += json.usage?.completion_tokens ?? 0;
-    } catch (error) {
-      console.log(`failed — ${(error as Error).message}`);
-      continue;
-    }
-
-    const parsed = parseBatchResponse(text, batch);
-
-    for (const commit of batch) {
-      const summary = parsed.get(commit.id);
-      if (!summary) {
-        missing += 1;
-        continue;
-      }
-      await pb.collection("commits").update(commit.id, {
-        summary,
-        summary_version: PROMPT_VERSION,
-        summary_attempts: 0,
-      });
-      summarised += 1;
-    }
-
-    console.log(`${parsed.size}/${batch.length}`);
-  }
-
-  console.log(`\nsummarised: ${summarised}`);
-  console.log(`not returned by the model: ${missing}`);
-  console.log(`tokens: ${inTok} in, ${outTok} out`);
-}
-
-main().catch((e) => {
-  console.error("FAILED:", e?.message ?? e);
-  process.exit(1);
-});
diff --git a/src/lib/ai/narrate.ts b/src/lib/ai/narrate.ts
index dc53afb..5484a6f 100644
--- a/src/lib/ai/narrate.ts
+++ b/src/lib/ai/narrate.ts
@@ -103,7 +103,9 @@ export async function narrateProject(projectId: string): Promise<NarrateResult>
           { title: card.title, description: card.description ?? "" },
           items
         ),
-        maxTokens: 4096,
+        // 16k for the same reason as summarise.ts: inline reasoning is billed
+        // against max_tokens, and a truncated response yields nothing at all.
+        maxTokens: 16384,
       });
 
       if (!result.text) {
diff --git a/src/lib/ai/summarise.ts b/src/lib/ai/summarise.ts
index dc6e20c..dbd1c83 100644
--- a/src/lib/ai/summarise.ts
+++ b/src/lib/ai/summarise.ts
@@ -101,7 +101,14 @@ export async function summariseProject(projectId: string): Promise<SummariseResu
         system,
         user: buildBatchPrompt(items),
         // Roughly 40 tokens per sentence plus headroom for thinking.
-        maxTokens: 4096,
+        // 16k, not 4k. MiniMax M2.x reasons INLINE in <think> tags, and that
+        // reasoning is billed against max_tokens. At 4096 the heavier batches
+        // spent the whole budget thinking, were truncated before writing a
+        // single answer, and stripThinking correctly removed the unclosed
+        // block — leaving an empty response and zero parsed summaries. The
+        // symptom was whole batches returning 0/25 while others returned
+        // 25/25, never anything partial.
+        maxTokens: 16384,
       });
       text = result.text;
     } catch (error) {
diff --git a/src/lib/intake/interview.ts b/src/lib/intake/interview.ts
index 6a91946..2079daf 100644
--- a/src/lib/intake/interview.ts
+++ b/src/lib/intake/interview.ts
@@ -94,7 +94,10 @@ export async function nextStep(input: {
       const result = await provider.complete({
         system,
         user: buildQuestionPrompt(ctx.context, turns),
-        maxTokens: 1024,
+        // A question is one sentence, but the reasoning that produces it is
+        // billed against this too — see summarise.ts. At 1024 a reasoning
+        // model returns an empty question and the interview silently ends.
+        maxTokens: 8192,
       });
 
       const question = result.text.trim();
@@ -113,7 +116,8 @@ export async function nextStep(input: {
     const result = await provider.complete({
       system,
       user: buildBriefPrompt(ctx.context, turns),
-      maxTokens: 4096,
+      // 16k — see the note in summarise.ts about inline reasoning.
+      maxTokens: 16384,
     });
     raw = result.text;
   } catch {