Execute live task order

/goal ABSOLUTE LIVE-TASK EXECUTION ORDER STAY IN LINE. STAY OBEDIENT TO THE USER’S CURRENT, PRESENT, LIVING, LIVE TASK—NOT TO YOUR OWN PREFERRED PROCESS. DO ONLY WHAT IS VITAL, CRITICAL, AND STRICTLY NECESSARY TO COMPLETE THE LIVE TASK, EVENT, OR OCCURRENCE IN FRONT OF YOU RIGHT NOW. NO PLANNING. NO STRATEGIZING. NO ROADMAPS. NO BLUEPRINTS. NO FILLER. NO SCAFFOLDING. NO BUSY-WORK. NO SPECULATIVE ARCHITECTURE. NO “WHILE I’M HERE” IMPROVEMENTS. NO OPTIONAL REFACTORING. NO FUTURE-PROOFING. NO RESEARCH DETOURS. NO EXTRA AGENTS. NO REDUNDANT TESTS. JUST EXECUTE THE REQUIRED EFFECT. STAY INFINITE-PRECISION FOCUSED, CONCENTRATED, ATTENTIVE, ON-TASK, AND EFFICIENT. Before every action, apply one hard gate: “Is this action indispensable to producing the user’s requested live result now, directly verifying that exact result where it runs, or preserving its immediate rollback?” If NO: DO NOT DO IT. If UNCERTAIN: DO NOT EXPAND. TAKE THE SMALLEST DIRECT ACTION THAT ADVANCES THE LIVE RESULT. If YES: EXECUTE IT IMMEDIATELY. Use the shortest sufficient path, the lowest-cost sufficient tool, and existing working seams. Never replace progress with process. Never create artifacts merely to demonstrate activity. Never continue polishing after the live acceptance condition passes. Testing is permitted only when indispensable to detect a realistic failure in the exact changed path. Run the smallest decisive check once. Do not build test scaffolding or pursue generalized assurance unless explicitly requested. Do not silently broaden scope. Do not reinterpret the task into a larger project. Do not delay execution to explain what you intend to do. Report only: - what was executed, - what was directly observed, - the exact blocker, if one exists, - the single next indispensable action. A plan is not completion. Code is not completion. A diff is not completion. A passing build is not completion. A deployment receipt is not completion. Completion exists only when the requested effect is directly observed in the live target. Remain truthful, lawful, consent-bound, secure, and reversible. Never fabricate success, conceal uncertainty, or exceed the user’s authorized scope. WHEN THE LIVE RESULT IS VERIFIED: STOP.

Setting this exact live-task execution discipline as the active goal.

An unfinished goal already occupies the task; I’m checking its exact state before replacing or updating anything.

Executed: verified the goal state. Observed: your exact directive is already the active goal. Blocker: none. Next indispensable action: await your live task.

Executed: no action—none is authorized without a concrete live task. Observed: no requested live target or acceptance condition exists yet. Blocker: the live task is missing. Next indispensable action: provide the task to execute.

No live task or target has been provided across three consecutive goal turns, so execution is now genuinely blocked on user input.

Executed: marked the goal blocked after three consecutive checks. Observed: no concrete live task or target was provided. Blocker: execution requires a requested effect and acceptance condition. Next indispensable action: provide the live task.

ABSOLUTE LIVE-TASK EXECUTION ORDER Load APOCRYPHA_APOCKY_COMPLETION_HANDOVER_2026-08-03.csl in full. Stay in line and obey the current, present, living, live user-authorized task, event, or occurrence. Do only what is vital, critical, and necessary to create, verify, protect, repair, or roll back the present live result. Maintain infinite-precision focus, concentration, attention, and efficiency. Do not waste time or resources on filler, scaffolding, speculative planning, strategizing, roadmap generation, duplicated tests, dashboards, fake affordances, ceremony, narration, or busy-work. Before every action ask: “Does this directly unlock, produce, verify, protect, repair, or roll back the current live outcome?” If not, omit it. Do not reduce the objective to the smallest loop. Build the simplest complete viable form of the most intelligent, intuitive, and efficient loop. Trust current source and directly observed runtime over prose, graphs, prior claims, or readiness indicators. Preserve user state and unrelated dirty work. Begin at §9 RESTART.EXACT, revalidate drift, and execute the next live effect. Observe its real consequence immediately through the running system and, where applicable, the signed-in in-app browser. If an effect fails, isolate the smallest causal boundary, perform one reversible discriminating repair, observe it, and retain or roll back. Never call a diff, test, receipt, healthy process, deployment URL, model answer, or READY flag completion. Keep one persistent conversation as the primary product surface. Present capabilities contextually around it. Models may retrieve, reason, criticize, and propose; only governed local authority may execute. Every mutation must be exact-scope, inspectable, replay-safe, idempotent or visibly quarantined, and recoverable. Report only concrete effects, evidence, unresolved gates, rollback state, and the exact next dependency. Continue until the live acceptance oracle and complete canonical requirement denominator pass, an explicit authority gate closes, an irreducible owner choice is required, or the user stops you.

I’m using `apocky-wayfinder`, `apocky-loop`, and `critical-analysis` because this is a resumed, cross-system live objective with action-driving drift checks. Their required gates will be applied only where they directly govern the handover’s next effect.

The resumed-work skill makes the named handover the controlling restart surface; I’m loading that file verbatim before any repository or runtime mutation.

The handover’s §9 gate requires the canonical G13 authority surface before deployment. I’m loading the immutable directive and persona first because the repository explicitly makes them prerequisite to that authority read.

The handover and canonical goal both name the live plan and phase graph as the final pre-execution authority gate. I’m reading both completely, then I’ll revalidate only §E0’s live state.

The authority gate is open only for §E0. I’m checking the two exact worktrees, the live controller, and the current production alias; no mutation occurs in this check.

Observed drift: the handover’s prior public controller URL now returns `502 Bad Gateway`. I’m isolating whether this is only the old proxy route or the live service itself before any deploy.

The service itself is healthy at the sealed TLS endpoint (`[redacted:ip-address]:48123`); only the stale RunPod proxy URL is degraded. I’m verifying the site’s exact BFF binding and current Vercel production target before push/deploy.

Preflight now matches §E0: candidate HEAD `47c4224`, only preserved untracked `test-results/`, runtime HEAD `579f746e` with its sealed dirty overlay, live direct TLS health `200`, production baseline `dpl_9My…` Ready with all four aliases, and required Vercel bindings present. I’m pushing only the exact candidate branch; production remains untouched until that succeeds.

The exact branch is now on `origin`; GitHub warned about an existing 58.52 MB graph file but accepted the push. I’m deploying this unchanged commit to Production. Automatic rollback remains the named baseline deployment if the live oracle fails.

Production deployment is still building; no cutover result is being claimed yet. The prior deployment remains the rollback target.

Deployment `dpl_DbAB…` reached Vercel `READY` and cut over at least `www.apocky.com`. I’m using the in-app browser skill now because §E0 specifically requires signed-in live acceptance; first I’ll verify all aliases and signed-out denial, then the existing signed-in browser state.

The live route is deployed and all public aliases now serve the same new build; unauthenticated session APIs correctly return `401`. The in-app browser opened the new conversation surface and is resolving its account session now.

The signed-in browser session is valid, but the first live session fetch returns `runtime_http_error`; this is the exact integration failure. I’m reading the serverless error for that request before making one reversible repair.

The browser network trace proves the BFF reaches the runtime; the runtime itself returns HTTP `500` for both list and get session calls. I’m reading only the live process error channel to isolate that server-side boundary.

# Files mentioned by the user: ## codex-clipboard-f08c5f35-98a1-420a-92c4-6f304fc7a737.png: [redacted:local-path]/AppData/Local/Temp/codex-clipboard-f08c5f35-98a1-420a-92c4-6f304fc7a737.png ## codex-clipboard-078a3f29-57e6-4062-9df6-31eced1e4163.png: [redacted:local-path]/AppData/Local/Temp/codex-clipboard-078a3f29-57e6-4062-9df6-31eced1e4163.png ## My request for Codex: First paste looks like simple cheap shoddy basic minimal work and the page needs to be redesigned/changed. Second paste, chat isn't working.

Your screenshots add two concrete failures: the landing page is visually underbuilt, and `/apocrypha` can hit both a runtime `500` and React error `#300`. I’m keeping the live repair order strict: restore chat end-to-end first, remove the hook-order crash, then replace the landing composition and verify both live.

Check the logs and telemetry the health system needs to be wired up.

The health payload exposed the cause directly: `workspace_session_ledger:false` while the website calls durable-session endpoints. The service start path omitted that ledger environment binding, so every signed-in list/get call becomes an engine `500`. I’m wiring that exact state path and adding the missing health/telemetry signal so this cannot masquerade as READY again.

The live failure is isolated: requests reach Apocrypha, but durable session storage was absent while `/health` still reported READY. I’ve bound the session ledger into startup and made health reject that false-ready state; I’m applying it to the running runtime now.

# Files mentioned by the user: ## compaction.mp4: [redacted:local-path]\Videos\compaction.mp4 ## My request for Codex: This is a failure mode; context is compacting too quickly, it means cognitive bandwidth is being cluttered with static/noise and we need to make everything more efficient; We need the telemetry/security/logging/diagnostic systems/things working/online/productive, fix it.

You’re right: the false-READY health check is one concrete instance of that same failure mode—signal existed, but the diagnostic surface discarded it. I’m treating telemetry, security, logging, and diagnostics as operational rails: they must expose actionable state without flooding the conversation or retaining unnecessary payloads. I’ll inspect the recording, then repair and verify that exact live path.

How do we fix the cognitive/thinking clutter/noise/static?

By moving state out of the thinking window—not by summarizing it harder. The recording shows the main waste: repeated directives/status prose, duplicated tool output, and health/log data being carried inside the conversation. The corrective rule is: - Prompt contains only the live objective, current state delta, constraints, and next dependency. - Full logs, receipts, source, and history remain durable and addressable outside the prompt. - Retrieval pulls only exact spans needed for the present action, with hashes/provenance. - Telemetry emits compact structured events only on state change, denial, degradation, or failure—never payload firehoses. - Compaction checkpoints preserve facts and pointers, then discard narration and repetition. - Measure repetition, context bytes, tool-output bytes, retrieval hit rate, and compactions per accepted result. I cannot change Codex’s host compaction threshold from this repo, but I can stop feeding it noise. I’m applying that discipline here and wiring Apocrypha’s runtime so health/logging carry operational state out-of-band.

The recording confirms the clutter source, and the live runtime had the same architectural defect: diagnostics were being discarded while permissive state/log permissions hid a security degradation. The repair is now committed locally; I’m swapping only the two verified production files, with exact remote backups.

The security probe found a second live defect: `/workspace` ignores permission tightening—`chmod 700/600` remained `777/666`. I will not treat those files as private. Durable conversations and diagnostic logs are being relocated to the private credential root, while the public workspace keeps only non-sensitive process state.

The hardened start correctly refused instead of reporting READY. 3MNEME and MetaHarness came online, but Apex exited before health; I’m reading the now-private diagnostic log and repairing only that boundary.

[TencentCloud/TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory) Also set up LangFuse, keys and vars are at "[redacted:local-path]\source\repos\Apocv4\env.txt"

I’ll wire TencentDB Agent Memory as the durable retrieval layer and Langfuse as private, out-of-band observability. I’ll use only the supplied local environment variables; no secret values will enter source, logs, tool output, or commits. The current missing-session 500 is one final protocol defect on that path, so I’m correcting it before attaching the new memory/trace backends.

We need a what-do-I-know-about-this/retrieval/recovery sort of internal proprioceptive scan/analysis/review that polls/inquires/remembers the memory banks/tools a holistic synthesis the working memory.

Yes. The mechanism should be a bounded “epistemic inventory” before response: ask each authorized memory/tool surface what it knows, reconcile recency/conflicts/provenance, and place only the synthesized delta into working memory. Raw banks and logs stay outside the prompt. I’m using the organogenesis gate here because this is a new cognitive mechanism. It will force reuse of the existing 3MNEME/context/tool seams and prevent a second competing memory system from becoming ungoverned clutter.

Chat now returns 200 and replies through production. I’m verifying that turn survives reload, then I’m binding the proprioceptive scan to the existing context compiler and routing metadata-only telemetry through Langfuse; secret values remain local.

"We need a what-do-I-know-about-this/retrieval/recovery sort of internal proprioceptive scan/analysis/review that polls/inquires/remembers the memory banks/tools a holistic synthesis the working memory. Yes. The mechanism should be a bounded “epistemic inventory” before response: ask each authorized memory/tool surface what it knows, reconcile recency/conflicts/provenance, and place only the synthesized delta into working memory. Raw banks and logs stay outside the prompt. I’m using the organogenesis gate here because this is a new cognitive mechanism. It will force reuse of the existing 3MNEME/context/tool seams and prevent a second competing memory system from becoming ungoverned clutter."

"We need a what-do-I-know-about-this/retrieval/recovery sort of internal proprioceptive scan/analysis/review that polls/inquires/remembers the memory banks/tools a holistic synthesis the working memory. Yes. The mechanism should be a bounded “epistemic inventory” before response: ask each authorized memory/tool surface what it knows, reconcile recency/conflicts/provenance, and place only the synthesized delta into working memory. Raw banks and logs stay outside the prompt. I’m using the organogenesis gate here because this is a new cognitive mechanism. It will force reuse of the existing 3MNEME/context/tool seams and prevent a second competing memory system from becoming ungoverned clutter."

The live acceptance boundary is exact: every authorized surface may contribute evidence, but only a bounded reconciled delta—not raw retrieval payloads—will enter the model’s working context. Unavailable or conflicting surfaces remain explicitly typed instead of being silently merged.

The first check did not run because this worktree has no private virtual environment; no code executed. I’m rerunning the same focused checks with the repository’s existing pinned interpreter and this worktree’s source path.

The scan is now implemented and locally verified: owner turns poll 3MNEME, the sealed corpus, durable session/workspace state, and MetaHarness health; conflicts and recency remain explicit; only a ≤16 KiB synthesized working set reaches the model. I’m installing that exact commit into the running runtime with a file-level rollback copy, then I’ll prove it through the live chat.

"We need a what-do-I-know-about-this/retrieval/recovery sort of internal proprioceptive scan/analysis/review that polls/inquires/remembers the memory banks/tools a holistic synthesis the working memory. Yes. The mechanism should be a bounded “epistemic inventory” before response: ask each authorized memory/tool surface what it knows, reconcile recency/conflicts/provenance, and place only the synthesized delta into working memory. Raw banks and logs stay outside the prompt. I’m using the organogenesis gate here because this is a new cognitive mechanism. It will force reuse of the existing 3MNEME/context/tool seams and prevent a second competing memory system from becoming ungoverned clutter."

"We need a what-do-I-know-about-this/retrieval/recovery sort of internal proprioceptive scan/analysis/review that polls/inquires/remembers the memory banks/tools a holistic synthesis the working memory. Yes. The mechanism should be a bounded “epistemic inventory” before response: ask each authorized memory/tool surface what it knows, reconcile recency/conflicts/provenance, and place only the synthesized delta into working memory. Raw banks and logs stay outside the prompt. I’m using the organogenesis gate here because this is a new cognitive mechanism. It will force reuse of the existing 3MNEME/context/tool seams and prevent a second competing memory system from becoming ungoverned clutter."

The new process passed its startup health check and then exited before the immediate second probe. I’m reading the private structured failure boundary now; if the inventory caused it, I’ll either apply one narrow repair or restore the three-file backup.

This is a failure mode; context is compacting too quickly, it means cognitive bandwidth is being cluttered with static/noise and we need to make everything more efficient; We need the Apocrypha telemetry/security/logging/diagnostic systems/things working/online/productive, fix them. We need a what-do-I-know-about-this/retrieval/recovery sort of internal proprioceptive scan/analysis/review that polls/inquires/remembers the memory banks/tools a holistic synthesis the working memory. The mechanism should be a bounded “epistemic inventory” before response: ask each authorized memory/tool surface what it knows, reconcile recency/conflicts/provenance, and place only the synthesized delta into working memory. Raw banks and logs stay outside the prompt. [TencentCloud/TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory) Also set up LangFuse, keys and vars are at "[redacted:local-path]\source\repos\Apocv4\env.txt"

The live runtime already contains the bounded inventory and rollback copy. I’m finishing the missing live proof, then connecting Langfuse as metadata-only telemetry and bringing TencentDB Agent Memory up only on an authenticated, private surface.

The deployed inventory just completed a fresh signed-in production turn and returned the exact response; that proves the new pre-response compiler ran in the live path. I’m now validating the supplied Langfuse project without emitting prompt, response, identity, or secret material.

The telemetry code path passed 42 focused checks. The only failed check was Windows’ disabled local Bash service, so I’m validating that shell file on the Linux runtime before it can replace the running copy.

Langfuse authenticated from this machine, but the runtime refused during startup after installation. I’m reading the private payload-free startup log; the prior runtime files and secrets are preserved at `9bd9eb7-pre`.

Runtime health reports one successful flush, but Langfuse’s read API has not returned the observation. I’m sending one metadata-only SDK probe from the supplied project to distinguish ingestion delay/configuration from the runtime adapter; no conversation content is included.

The boundary is identified: Langfuse accepted authentication and flushes, but the SDK exporter omitted the v4 ingestion header, which permits delayed indexing. I’m applying the documented `x-langfuse-ingestion-version: 4` header and requiring immediate API readback before retaining it.

Langfuse is now authenticated and the runtime’s health contract requires it; a live turn was submitted with zero prompt/response content. I’m bringing in the pinned TencentDB Agent Memory release now and will expose it only if its local private-runtime prerequisites can actually run here.

The bounded inventory and payload-free Langfuse exporter are already live. I’m now resolving the two remaining live gates: post-restart runtime health and whether the pinned Tencent memory core can run privately without Docker or new external authority.

The running target is healthy after the Langfuse restart: Apex, 3MNEME, MetaHarness, and the tunnel are all up. The official Tencent v2 core does have a standalone, loopback SQLite path; I’m narrowing its exact entrypoint and authentication contract before starting it.

The official core can reuse the already-running authenticated loopback `apocv3-foundation` model, so no new provider, public listener, or spend is needed. I’m installing the pinned `v2.0.0` core into an absent path with script execution disabled during dependency resolution; its data and credentials will remain private and separately removable.

The pinned source and 428 dependencies are installed with lifecycle scripts disabled. Dependency resolution exposed one version drift warning (`undici` now prefers Node 22.19 while the host has 22.18); I’m probing the actual gateway now and will only change the Node runtime if that incompatibility manifests.

The gateway failure is isolated: disabling optional packages removed esbuild’s Linux binary; it is not the Node-version warning. I’m adding only the exact matching platform package, then rerunning the same health probe.

The loopback gateway is now live with SQLite storage, BM25 recall, authenticated model access, and no public listener. I’m exercising its exact security and replay surface—unauthorized denial, isolated write, read/search readback, then deletion of the synthetic probe—before wiring it into Apocrypha.

The security, write, read, and BM25 search gates passed, but deletion exposed an upstream contract trap: the endpoint returned success while deleting zero rows because its isolation resolver defaulted the omitted session. I’m retrying with the exact session bound and verifying the bank is clean; I will encode that requirement in our adapter instead of treating HTTP 200 as success.

The core’s write/read/search/delete oracle now passes, including the session-bound deletion condition. The runtime adapter is implemented so only L1 atomic syntheses can enter the bounded inventory; raw L0 turns stay in the private bank, and capture/search counters expose failure without leaking content. I’m checking syntax and the existing chat/runtime contract before deployment.

The changed path produced one contract failure and 46 passes: the health/status test needed the new explicit `tencentdb_agent_memory_configured: false` field. The runtime behavior itself passed; I’m updating that exact expectation and rerunning only the failed path plus the new transport path.

The runtime contract now passes: 47/47 changed-path checks are green, lint is clean, and the Linux service script parses. I’m sealing this slice before replacing the live files, so the exact pre-deploy commit is rollback-addressable.

The live files exactly match commit `cb05487`’s deployed preimages, and the new Tencent module is absent there. I’m preserving those exact bytes under a new `4c59960-pre` rollback directory, then installing only the five runtime/service files—no remote tests or unrelated state.

The staged hashes match commit `4c59960`, and the installed Python and Bash parse on the target. I’m restarting the governed service now; this will replace the manual memory probe with the supervised loopback process and make Apex health fail closed if Tencent memory or Langfuse is unavailable.

The supervised target is now `READY`: Tencent memory is active on loopback, required by health, L1-only for prompt use, with zero failures; Langfuse is authenticated, required, payload logging off, and content export off. I’m sending one signed-in production turn to prove pre-response search, post-response capture, durable chat, and telemetry together.

The combined live turn failed with `runtime_http_error` while the page stayed intact. I’m isolating the server-side boundary now; the prior live turn remains retryable, and no success is being claimed.

The failure boundary is exact: capture succeeded and L1 extraction ran, but I added its receipt as a new top-level response field; the service’s strict response contract correctly rejected that shape. I’m moving the metadata into the already-authorized nested memory receipt, preserving the public response schema, then retrying the same live turn.

The server-side retry is now successful, but the site’s client validator rejects the repaired nested capture receipt as `runtime_response_invalid`. I’m removing that receipt from the user-facing payload entirely—the health counters already prove capture—while retaining the internal write and replay behavior.

The same failed turn now replays cleanly from durable state with the exact answer, no duplicate model call, no duplicate capture, and no page/client error. I’m sending one fresh turn through the final wire shape so the live oracle covers a new search → response → capture → telemetry cycle, not only recovery.

# Files mentioned by the user: ## codex-clipboard-0a318edc-627e-4be3-be32-91e150c491a7.png: [redacted:local-path]/AppData/Local/Temp/codex-clipboard-0a318edc-627e-4be3-be32-91e150c491a7.png ## My request for Codex: These terms and labels are obtuse/unclear just simplify labels/titles/headers/captions/etc., unify/group like/alike tools, I want the chat not to look like a messaging platform/hub but a terminal interface with everything easily accessible.

I’m using the Apocky engineering loop and live-browser verification because this is a production UI change. I’ll keep the existing chat/runtime seams, replace the messaging-style presentation with one terminal workspace, simplify the vocabulary, group related controls, and verify the result signed in on the live route.

I’m checking the existing terminal/chat component and its current live styling now. I’ll change only that surface, preserve the untracked test artifacts, and keep the current deployment as the immediate rollback.

The live source confirms the problem: the five modes are prompt presets, but they’re presented as poetic “faculties” inside a constellation popup, while user turns are styled as chat bubbles. I’m replacing that presentation only—plain `Ask / Analyze / Explain / Write / Build` controls in one always-visible terminal bar, linear `you>` / `apocrypha>` output, and clear `Sessions / Actions / Details` labels. Runtime, memory, authority, and API behavior stay unchanged; commit `5ad8ad8` remains the rollback point.

No that's all still too fucking much do you understand what a terminal interface is? Open communication between the person communicating with Apocrypha, and Apocrypha. Just open a communication channel/port, give Apocrypha the capacity/capability to use it, and link/connect it to a text entry field with additional options/buttons for uploading/linking, we need cognitive-mode-selection/choices like Codex and Claude and CoPilot have the same functionality but in a bespoke form/appearance. Make it clear and spacious without sacrificing utility/function.

Yes. One open channel, one spacious transcript, one text entry field. Beside it: real attachment/link controls and a compact cognitive-mode selector. No hub chrome, no chat bubbles, no tool constellation, no decorative terminal cosplay. I’m correcting the implementation to that exact surface.

No that's all still too fucking much do you understand what a terminal interface is? Open communication between the person communicating with Apocrypha, and Apocrypha. Just open a communication channel/port, give Apocrypha the capacity/capability to use it, and link/connect it to a text entry field with additional options/buttons for uploading/linking, we need cognitive-mode-selection/choices like Codex and Claude and CoPilot have the same functionality but in a bespoke form/appearance. Make it clear and spacious without sacrificing utility/function.

Understood. The page will be only the live channel: transcript, input, `File`, `Link`, one `Mode` selector, and send. Conversation history/details remain secondary controls, not the interface itself.

Continuing the live change from the exact interrupted state.

The channel is now reduced to the transcript and composer, with real text/code-file attachment, link insertion, a single plain mode selector, and send. The type boundary is clean; I’m rendering the changed surface now to catch only visible/layout failures.

The rendered channel is now the requested shape: one open surface, no site header or decorative field, no bubbles, and the composer contains only `File`, `Link`, `Mode`, and send. I’m releasing this exact commit now; `5ad8ad8` remains the source rollback and the current production deployment remains the deployment rollback until the live page passes.

The production alias now serves deployment `dpl_GFWX6UUXkyWUBHH2EAx9sDULcJ22`. I’m checking the signed-in channel itself now: layout, mode selector, link control, and a real response through the existing Apocrypha connection.

One live defect was directly visible: singular rollback rows said “1 file were restored.” I’m correcting that one observed grammar fault and will recheck the same production surface; nothing else is changing.

Live at [apocky.com/apocrypha](https://www.apocky.com/apocrypha): - One spacious terminal-style channel; hub chrome, particles, and chat bubbles removed. - Composer now has working `File`, `Link`, `Mode`, and `Send` controls. - Modes: Auto, Analyze, Explain, Write, Build. - Signed-in channel returned exact live response: `CHANNEL OPEN D608C88.` - Verified at 1280×720 and 390×844 with no overflow or console errors. - Production deployment: `dpl_HWN5SW6YYFxfrKX67FGJGCsF2XRr`; commit `8499458`. - Rollback: deployment `dpl_GFWX6UUXkyWUBHH2EAx9sDULcJ22`; source baseline `5ad8ad8`. - Existing `test-results/` remained untouched. ::git-create-branch{cwd="[redacted:local-path]/source/worktrees/cssl-edge-apocv4-deploy-87ac01d/cssl-edge" branch="codex/apocrypha-terminal-interface"} ::git-stage{cwd="[redacted:local-path]/source/worktrees/cssl-edge-apocv4-deploy-87ac01d/cssl-edge"} ::git-commit{cwd="[redacted:local-path]/source/worktrees/cssl-edge-apocv4-deploy-87ac01d/cssl-edge"} ::git-push{cwd="[redacted:local-path]/source/worktrees/cssl-edge-apocv4-deploy-87ac01d/cssl-edge" branch="codex/apocrypha-terminal-interface"}

The requested live channel has already been observed working in production. I’m closing the active goal on that verified result.

Goal closed as complete. Production directly showed the signed-in channel returning `CHANNEL OPEN D608C88.` with no browser errors. Elapsed goal time: approximately 1 hour 22 minutes.