# Session: 2026-05-24 22:49:51 PDT

- **Session Key**: agent:main:main
- **Session ID**: e4045083-39df-45af-b853-6e5047e9ee61
- **Source**: telegram

## Conversation Summary

assistant: HEARTBEAT_OK
user: Read HEARTBEAT.md if it exists (workspace context). Follow it strictly. Do not infer or repeat old tasks from prior chats. If nothing needs attention, reply HEARTBEAT_OK.
When reading HEARTBEAT.md, use workspace file /Users/openclaw/.openclaw/workspace/HEARTBEAT.md (exact case). Do not read docs/heartbeat.md.

Additional context from HEARTBEAT.md:
# HEARTBEAT.md

# Minimal proactive checks (6-hour cadence via LaunchAgent)
# Keep this list small and operational.

1) Gateway health
- Command: openclaw gateway status
- Suppression: ignore the known THR-18 service-config warning about embedded `OPENCLAW_GATEWAY_TOKEN` / reinstall recommendation when runtime is running and RPC probe is ok
- Log alert condition if runtime is not running or RPC probe is not ok

2) Session count sanity
- Command: openclaw sessions | wc -l
- Baseline: 5–25 sessions is normal during active operation
- Alert condition: count > 30 (indicates session accumulation without pruning)
- Alert condition: count > 50 (high-water; stale sessions have built up — run ops-session-prune)
- Baseline derived 2026-04-06: heartbeat reports consistently showed ~17 during normal ops; 36–50 observed during accumulation periods; current live count at audit time was 9

3) LinkedIn IMAP check (2x/day email check; batch into heartbeat, no standalone cron)
- Cadence: run on two heartbeat passes per day during daytime, not every heartbeat
- IMAP: host imap.mail.me.com, port 993, SSL
- Auth: Apple ID bradenmcleish@icloud.com + local secret file at /Users/openclaw/.secrets/icloud_imap_app_password
- Folder: Search
- Fetch: UNSEEN only
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/icloud_imap_ingest.py --once`
- Write path: create LinkedIn Job Search Pipeline records directly in Notion, then parse within the same heartbeat execution context
- Mark seen rule: mark each IMAP message SEEN only after confirmed Notion write + same-run processing succeeds
- Safety: self-authored Notion webhook events from this workflow must be dropped by the webhook handler and logged at INFO with event ID

4) LinkedIn outbound execution dry-run (1x/day; run after draft generation checks in the same heartbeat cycle)
- Cadence: run once per day during daytime
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/linkedin_send_runner.py --once`
- Purpose: detect records at `Pending Approval`, enforce the hard `Braden Approval` gate, and surface what would send without firing live actions
- Safety: default mode is dry-run only; do not pass `--execute` from heartbeat

5) LinkedIn follow-up monitor (1x/day)
- Cadence: run once per day during daytime
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/followup_monitor.py --once`
- Purpose: detect records whose `Follow-Up Due` date is due while status is `Outreach Sent` or `Applied`
- Safety: monitor/report only from heartbeat; follow-up messaging still waits for Braden approval

## End-of-Session Self-Check
Run this before ending any session. Keep it under one minute.

1. Memory write check
- Confirm `memory/YYYY-MM-DD.md` has at least one entry for today.
- If nothing has been written yet, add a concise entry before ending the session.

2. Long-term retention check
- Review whether anything from this session should be promoted to `MEMORY.md`.
- If yes, flag it for curation or update `MEMORY.md` now.

3. Active thread check
- Confirm `active-thread.md` reflects the current thread state.
- Update it if the session changed the active topic, blockers, or next action.

4. Unresolved items check
- Identify anything important that should not be left only in conversation.
- Capture it in memory or the appropriate workspace file before ending.

5. Final state check
- Verify the session ends with no important open loop left uncaptured.
- If an item is still unresolved, write the next action down explicitly.
Current time: Saturday, May 23rd, 2026 - 11:43 PM (America/Los_Angeles)
Reference UTC: 2026-05-24 06:43 UTC
assistant: HEARTBEAT_OK
user: Proceed with the employer resolution cleanup on those 4 records. Resolve the real employer from the job URLs, rewrite the drafts with actual company names, and report back with the updated draft quality before they enter the approval queue. Flag any that can't be resolved cleanly.
assistant: Sent the update to Telegram.

Private note: one record is now clean and still `Draft Ready` (`Director, Execution - Step Up For Students`). The other three were moved back to `Researching` with explicit hold notes because the source evidence does not support a single employer cleanly.
user: On the 3 flagged records — don't spend time on second-pass cleanup right now. Close them as unresolvable and note the reason. We have real roles coming in through the heartbeat; don't rehabilitate digest noise.

What's the current approval queue? Give me the Step Up For Students draft so I can review it.
assistant: Sent the update to Telegram.

Private summary: the three flagged records are now closed as unresolvable digest noise. The live reviewable queue is down to two `Draft Ready` records: `Director, Execution - Step Up For Students` and `Plant Manager - DP World`.
user: One tightening pass before approval. Fix these three things:

1. "Step Up For Students's" → "Step Up For Students'"
2. "where Braden has been most effective" → "where I have been most effective"
3. Reframe the close so it connects operational execution to program delivery and mission outcomes, not "plant and operations leadership" — that framing doesn't fit a nonprofit education organization. Keep it one sentence, same contact info close.

Report the revised draft before it moves to approval queue.
assistant: Sent the revised Step Up draft to Telegram and kept the record at `Draft Ready`.
user: Approved. Move Step Up For Students to Pending Approval and send the Telegram digest for both Draft Ready records — Step Up For Students and DP World. I'll action them from Telegram.
assistant: Sent the digest to Telegram.

Private state: `Step Up For Students` is now `Pending Approval`; `DP World` remains `Draft Ready`.
user: Read HEARTBEAT.md if it exists (workspace context). Follow it strictly. Do not infer or repeat old tasks from prior chats. If nothing needs attention, reply HEARTBEAT_OK.
When reading HEARTBEAT.md, use workspace file /Users/openclaw/.openclaw/workspace/HEARTBEAT.md (exact case). Do not read docs/heartbeat.md.

Additional context from HEARTBEAT.md:
# HEARTBEAT.md

# Minimal proactive checks (6-hour cadence via LaunchAgent)
# Keep this list small and operational.

1) Gateway health
- Command: openclaw gateway status
- Suppression: ignore the known THR-18 service-config warning about embedded `OPENCLAW_GATEWAY_TOKEN` / reinstall recommendation when runtime is running and RPC probe is ok
- Log alert condition if runtime is not running or RPC probe is not ok

2) Session count sanity
- Command: openclaw sessions | wc -l
- Baseline: 5–25 sessions is normal during active operation
- Alert condition: count > 30 (indicates session accumulation without pruning)
- Alert condition: count > 50 (high-water; stale sessions have built up — run ops-session-prune)
- Baseline derived 2026-04-06: heartbeat reports consistently showed ~17 during normal ops; 36–50 observed during accumulation periods; current live count at audit time was 9

3) LinkedIn IMAP check (2x/day email check; batch into heartbeat, no standalone cron)
- Cadence: run on two heartbeat passes per day during daytime, not every heartbeat
- IMAP: host imap.mail.me.com, port 993, SSL
- Auth: Apple ID bradenmcleish@icloud.com + local secret file at /Users/openclaw/.secrets/icloud_imap_app_password
- Folder: Search
- Fetch: UNSEEN only
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/icloud_imap_ingest.py --once`
- Write path: create LinkedIn Job Search Pipeline records directly in Notion, then parse within the same heartbeat execution context
- Mark seen rule: mark each IMAP message SEEN only after confirmed Notion write + same-run processing succeeds
- Safety: self-authored Notion webhook events from this workflow must be dropped by the webhook handler and logged at INFO with event ID

4) LinkedIn outbound execution dry-run (1x/day; run after draft generation checks in the same heartbeat cycle)
- Cadence: run once per day during daytime
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/linkedin_send_runner.py --once`
- Purpose: detect records at `Pending Approval`, enforce the hard `Braden Approval` gate, and surface what would send without firing live actions
- Safety: default mode is dry-run only; do not pass `--execute` from heartbeat

5) LinkedIn follow-up monitor (1x/day)
- Cadence: run once per day during daytime
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/followup_monitor.py --once`
- Purpose: detect records whose `Follow-Up Due` date is due while status is `Outreach Sent` or `Applied`
- Safety: monitor/report only from heartbeat; follow-up messaging still waits for Braden approval

## End-of-Session Self-Check
Run this before ending any session. Keep it under one minute.

1. Memory write check
- Confirm `memory/YYYY-MM-DD.md` has at least one entry for today.
- If nothing has been written yet, add a concise entry before ending the session.

2. Long-term retention check
- Review whether anything from this session should be promoted to `MEMORY.md`.
- If yes, flag it for curation or update `MEMORY.md` now.

3. Active thread check
- Confirm `active-thread.md` reflects the current thread state.
- Update it if the session changed the active topic, blockers, or next action.

4. Unresolved items check
- Identify anything important that should not be left only in conversation.
- Capture it in memory or the appropriate workspace file before ending.

5. Final state check
- Verify the session ends with no important open loop left uncaptured.
- If an item is still unresolved, write the next action down explicitly.
Current time: Sunday, May 24th, 2026 - 3:43 AM (America/Los_Angeles)
Reference UTC: 2026-05-24 10:43 UTC
assistant: HEARTBEAT_OK
user: Read HEARTBEAT.md if it exists (workspace context). Follow it strictly. Do not infer or repeat old tasks from prior chats. If nothing needs attention, reply HEARTBEAT_OK.
When reading HEARTBEAT.md, use workspace file /Users/openclaw/.openclaw/workspace/HEARTBEAT.md (exact case). Do not read docs/heartbeat.md.

Additional context from HEARTBEAT.md:
# HEARTBEAT.md

# Minimal proactive checks (6-hour cadence via LaunchAgent)
# Keep this list small and operational.

1) Gateway health
- Command: openclaw gateway status
- Suppression: ignore the known THR-18 service-config warning about embedded `OPENCLAW_GATEWAY_TOKEN` / reinstall recommendation when runtime is running and RPC probe is ok
- Log alert condition if runtime is not running or RPC probe is not ok

2) Session count sanity
- Command: openclaw sessions | wc -l
- Baseline: 5–25 sessions is normal during active operation
- Alert condition: count > 30 (indicates session accumulation without pruning)
- Alert condition: count > 50 (high-water; stale sessions have built up — run ops-session-prune)
- Baseline derived 2026-04-06: heartbeat reports consistently showed ~17 during normal ops; 36–50 observed during accumulation periods; current live count at audit time was 9

3) LinkedIn IMAP check (2x/day email check; batch into heartbeat, no standalone cron)
- Cadence: run on two heartbeat passes per day during daytime, not every heartbeat
- IMAP: host imap.mail.me.com, port 993, SSL
- Auth: Apple ID bradenmcleish@icloud.com + local secret file at /Users/openclaw/.secrets/icloud_imap_app_password
- Folder: Search
- Fetch: UNSEEN only
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/icloud_imap_ingest.py --once`
- Write path: create LinkedIn Job Search Pipeline records directly in Notion, then parse within the same heartbeat execution context
- Mark seen rule: mark each IMAP message SEEN only after confirmed Notion write + same-run processing succeeds
- Safety: self-authored Notion webhook events from this workflow must be dropped by the webhook handler and logged at INFO with event ID

4) LinkedIn outbound execution dry-run (1x/day; run after draft generation checks in the same heartbeat cycle)
- Cadence: run once per day during daytime
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/linkedin_send_runner.py --once`
- Purpose: detect records at `Pending Approval`, enforce the hard `Braden Approval` gate, and surface what would send without firing live actions
- Safety: default mode is dry-run only; do not pass `--execute` from heartbeat

5) LinkedIn follow-up monitor (1x/day)
- Cadence: run once per day during daytime
- Action: run `python3 /Users/openclaw/.openclaw/workspace/job-search/followup_monitor.py --once`
- Purpose: detect records whose `Follow-Up Due` date is due while status is `Outreach Sent` or `Applied`
- Safety: monitor/report only from heartbeat; follow-up messaging still waits for Braden approval

## End-of-Session Self-Check
Run this before ending any session. Keep it under one minute.

1. Memory write check
- Confirm `memory/YYYY-MM-DD.md` has at least one entry for today.
- If nothing has been written yet, add a concise entry before ending the session.

2. Long-term retention check
- Review whether anything from this session should be promoted to `MEMORY.md`.
- If yes, flag it for curation or update `MEMORY.md` now.

3. Active thread check
- Confirm `active-thread.md` reflects the current thread state.
- Update it if the session changed the active topic, blockers, or next action.

4. Unresolved items check
- Identify anything important that should not be left only in conversation.
- Capture it in memory or the appropriate workspace file before ending.

5. Final state check
- Verify the session ends with no important open loop left uncaptured.
- If an item is still unresolved, write the next action down explicitly.
Current time: Sunday, May 24th, 2026 - 7:43 AM (America/Los_Angeles)
Reference UTC: 2026-05-24 14:43 UTC
assistant: Completion Contract
Done:
- Gateway status: healthy, runtime running, probe ok.
- Session count: 7.
- LinkedIn IMAP ingest ran and processed 34 unseen `Search`-folder messages.
- The ingest wrote 34 Notion records and marked all 34 as seen.
- LinkedIn outbound dry-run found 1 blocked item: `Step Up For Students`, held at `Pending Approval` because `braden_approval_unchecked`.
- Follow-up monitor found no due items.
- Updated [`memory/2026-05-24.md`](/Users/openclaw/.openclaw/workspace/memory/2026-05-24.md) and [`active-thread.md`](/Users/openclaw/.openclaw/workspace/active-thread.md).

Findings:
- No heartbeat alert conditions were triggered.
- No user-facing action is needed right now.

Decision needed:
- None.

Next step:
- Continue normal heartbeat cadence.

HEARTBEAT_OK