Every department, every agent, every workstream — what they're doing, what they're waiting on, and what it's costing. One screen, owned by you.
Opens from Sage's dashboard · button sits next to Daily Brief · Financials stay on Sage's dashboard — this is the operations view
Live 2026-11-09 17:59 PT
Refreshed hourly from the run table Status design: change-events only
9
Business units on this board, plus the Agentic COO coordination layer
27
Agents & workers tracked, incl. Muse's subagents broken out individually
2
Decisions waiting on Derek (below)
1
Needs repair — a bounced query send (Shannon, Books unit)
The org chart
3 tiers + advisory layer · human checkpoint at every tier
Built on the pattern the research keeps landing on: a human owner, one orchestrator, coordinators who run the day-to-day, and narrow specialist workers. Not a flat swarm — the middle layer is the one people skip, and skipping it is what breaks multi-agent setups.
Tier 1 · Owner
Derek Rydall
CEO & final approver. Strategy, taste, and every consequential call.
▲ approves · sets direction ▲
Tier 2 · Operations
Stephanie Carlisle
COO. Business execution — GHL, ClickUp, launches, metrics, podcast booking handoffs. Owns the daily approval queue with Muse.
Tier 2 · Orchestrator
Muse
Integrator. Holds the master picture across business, personal and creative work; routes work to subagents; this dashboard is Muse's surface.
Tier 2 · Coordination layer
Agentic COO
The agent layer that runs the daily rhythm: sequences work across all nine units, triages the approval queue, keeps the unit-to-unit handoffs moving, and brings Derek and Stephanie only the decisions — never the noise. Distinct from Stephanie, the human COO, who owns execution and judgment.
▲ coordinates · routes · reviews ▲
Tier 3 · Specialist
Sage (ChatGPT)
Research & editorial; owns the books lane (QuickBooks + accountant liaison) and the ClickUp board — the team's shared source of truth.
Tier 3 · Specialist
Instinct
Personal logistics — pilot-first lane. Household items surface to Derek right away; status-only updates on household matters.
Tier 3 · Workers
Muse's subagents
Narrow workers spawned per task — research, sends, transcription, materials. Each one is broken out on its own card in the units below.
▲ advises · develops · informs every tier ▲
Advisory · To the owner
Business Coach
Consults to Derek like a seasoned business coach: best next decision on pricing, launches, partnerships and priorities — argued from evidence, not flattery. Works from Sage's knowledge base so advice fits the man, not just the market.
Advisory · Growth
Business Development
Finds and works the growth routes the units can't reach alone: partnerships, guest and ally pipelines, licensing and non-slush routes to agents and publishers. Hands qualified opportunities to the units to execute.
Advisory · Knowledge base
Sage — heart & soul database
The deep knowledge base on Derek: values, history, goals, voice, past decisions and why they were made. The Coach and Business Development consult it before advising, so counsel lands in context.
Galit — co-decider on personal, financial and health matters; deliberately not a task lane. · Rule of thumb from the research: two agents need coordination, a third needs an explicit orchestration layer, five or more need the full three-tier structure. You're at that scale now — which is why this board exists.
Waiting on Derek
Approval queue · consequential actions only
Only real decisions land here — never routine work. Each item shows what will happen, and expires rather than executing by default.
Levine chapter-request reply Awaiting your OK
Levine chapter-request reply — Donovan Levine (Neighborhood Literary) asked for a few sample chapters Nov 9; draft reply to be shown to Derek before sending
Derek · since 2026-11-09
Takeout folder lock Awaiting your OK
Takeout folder lock — Derek taps the Drive approval card to unshare folder 1IDxQKLNulae-IbAPNYbcZCwt_QA3G26Q (card expires Nov 10 09:04 UTC); then verify owner-only + remove gpu-sprint monitor cron
Derek · since 2026-11-09
Business units
People + agents · live status · files · key numbers
Each unit shows its people and agents with their role, a one-line status, and spend for the workstream. Tap any agent to open its drill-down — the full run record lives there, not on the board. Muse's subagents are broken out individually, one card each, under the unit and project they serve.
Not a business unit — the layer that runs all of them. Sits between Muse (orchestrator) and the unit coordinators: runs the daily rhythm, triages what reaches Derek, and owns the handoffs in the connections map below.
9
Units coordinated
2
Items in Derek's queue
▸Agentic COOAgent · CoordinatorDesign — Phase 1Runs the daily operating rhythm across units; brings Derek and Stephanie decisions only, with the evidence attached.per day
Owns
Daily rhythm: morning priorities, end-of-day rollup into the brief
Approval-queue triage — consequential items up, routine work cleared under standing rules
Unit-to-unit handoffs: watches for a finished output that never got picked up downstream
Works with
Stephanie (human COO) — she owns execution and judgment; the Agentic COO owns sequencing and follow-through
Muse — escalates cross-unit conflicts and anything needing the master picture
Business Coach — receives the Coach's recommendations and turns accepted ones into unit work
Authority & guardrails
L2 inside the coordination layer: can re-sequence, nudge and reassign worker tasks, logged
Cannot approve consequential actions — those stay in Derek's queue, expiring by default
Reports on change only; a silent unit past its window gets flagged, not narrated
Files & links
Daily rhythm runs off the run table + the approval queue above; ClickUp remains the shared handoff log (Sage owns the board)
data-detail="unit:u01" tabindex="0" role="button"
01 Online Program Sales
Course and program revenue — launches, offers, enrollment. Stephanie runs execution; Sage's dashboard carries the financial snapshots for this unit.
—
Revenue baseline set in Phase 1
4
Agents tracked
▸Marketing & PromotionAgent role · CoordinatorQueuedThe promotion engine for the whole business: takes finished assets — a new book from the Self-Publishing Unit, an episode, an offer — and runs the launch push across email, social and partners.per launch
Receives
Finished books from the Self-Publishing Unit (Books) with a launch date
Anchor episodes from the YouTube Show; offers from Program Sales
Hands off
Campaign briefs + assets to Social Media Growth for distribution
Warm audiences to the Evergreen Funnel and List Health & Growth for conversion
Authority
L1–L3: drafts campaigns, prepares sends for approval; publishing stays human-gated
▸Stephanie CarlisleHuman · COOActiveRuns launches, GHL pipelines and metrics for program sales.human
Owns
GoHighLevel pipelines & campaigns
Launch calendar and metrics
Business execution end-to-end (never the novels)
Feeds this board
Launch status changes as they happen
Weekly async huddle summary
Authority
Second-in-command; owns the daily queue with Muse
▸Offer & Launch WorkerMuse subagent · MakerQueuedDrafts offer pages, launch emails and enrollment copy for review — never publishes on its own.Phase 1
Charter
Inputs: offer brief, price, dates
Outputs: drafts marked “ready for review”
Authority L1 — draft & recommend only
Done means
Draft delivered + source claims cited
Stephanie accepts or edits
Guardrails
No send/publish permission
Per-run budget cap; stops at limit
▸Sage — Books & BoardAgent · AnalystActiveKeeps the financial picture for sales on her own dashboard; owns ClickUp, the shared source of truth.separate dash
Scope note
Sage's consolidated financial reports go to Derek only — this board shows status, never her report contents
Her daily input to Muse is nonfinancial business/project status only
Handoff
Muse feeds Sage state changes directly; consolidated refresh every Friday
Files & links
Daily BriefSage's financial dashboard (linked from the same hub)
data-detail="unit:u02" tabindex="0" role="button"
02 Coaching & Teaching
Private coaching, teaching sessions, and the Teaching Library — the written collection inside the Emerging Edge Media Asset Management System.
2,907
Assets in the Master Manual
1,927
Transcripts searchable
▸Session Prep WorkerMuse subagent · ResearcherActivePulls prior-session context and teaching material ahead of each coaching session (Nicole Mason #21 lands Tue Nov 10).per-session
Inputs
Calendar session + client name
Teaching Library search
Outputs
One-page prep brief with citations into the library
Authority
L0 — read & answer only; no client contact
▸Library IndexerMuse subagent · OperatorActiveFolds new transcripts into the searchable Master Manual as they arrive — incremental, no rebuilds.per batch
Status model
Reports on batch complete / blocked only
Manual live at emerging-edge-manual.pages.dev with full-text search
Known gap
BM25 + metadata search today; vector search is a later phase
The internal ascension journey — every lead nurtured toward know yourself / be yourself / live your true purpose. Owned community is the system of record.
—
Member baseline set in Phase 1
2
Agents tracked
▸Community Support DrafterMuse subagent · MakerPlannedWill draft answers to routine member questions from the Teaching Library; a human sends anything trust-sensitive.Phase 2
The trust test (from the research)
“If a member could tell this came from AI, would it cost you trust? If yes, a human does it.”
AI gets: welcome messages, FAQ drafts, moderation flags, renewal nudges
Humans keep: live calls, high-trust DMs, stay/leave conversations
Precedent
Creator-educator Seth David runs a single trained support agent (“Sandy”) on his courses/community while he does only the coaching — single agent, no published fleet metrics
▸Nurture Sequence WorkerMuse subagent · MakerPlannedWill draft nurture and win-back sequences; sends stay behind a human approval gate.Phase 2
Authority path
Starts L1 (draft only) → L3 (prepare sends for approval) only after evals pass on real cases
Files & links
Community platform + list live in GHL (Stephanie's lane)
data-detail="unit:u04" tabindex="0" role="button"
04 Books
Building books, publishing and promoting them, and querying agents. Current campaign: END PROGRAM, an upmarket speculative thriller (77,311 words) — plus a nonfiction book a year in the long-range plan.
82
Sends in the numbered sequence
50
Next wave being built to
3
Full manuscripts out & reading
▸Query SenderMuse subagent · OperatorActiveBuilding the full 50-send wave with tonight's corrected letter; referral-only and published-only gates no longer block (locked rule).per send
Latest state
#81 Bankoff + #82 Shannon went out with the pre-correction letter
Shannon's send bounced — never arrived; correct route being found for re-send in this batch
13 ready now + reinstated names live-checked before sending
Locked rules it runs under
Lead-with-credits: referral-only / published-only gates never block
One agent per agency; successor gates honored
17 form-route agents go one at a time, separately
Guardrails
Every send verified live at send time
Response emails are shown to Derek before anything is sent back
▸Inbox WatcherMuse subagent · ResearcherActiveCaught Levine's chapter request within minutes tonight; logged Guzzardo's pass (Keystone) with materials color.per event
Reports
Requests, passes (with what materials each agent received), bounces — as status changes, not a stream
Pass reporting always notes pages/chapters/full received, per Derek's rule
Now doing
Successor search at Keystone after the Guzzardo pass
▸Agent Research & VerifierMuse subagent · ResearcherActiveLive-verifies every agent's route, fit and window before a send; rechecks parked names when conditions change.per check
Latest QA
43 checked → 15 sendable, 28 parked by reason (closed, unreachable, wrong fit, left agenting)
Stale-label rule: a “closed/blocked” label is a dated claim — re-verified live, never trusted
Held back
Feldman — site wouldn't load, needs a live check
Ruchti — Christian-market agency, wrong fit for this book
▸Materials BuilderMuse subagent · MakerQueuedBuilds per-agent extracts in manuscript format — next: 25 pages for Riven, 1-chapter and 1-page sets; title page always included, never counted.per file
Format rules
Times New Roman 12pt, double-spaced, 1-inch margins — matching the manuscript
Title page rides along on every set and doesn't count toward the requested page count
Fulls out
Wendy Rohm — full sent Oct 1, updated manuscript Oct 19; reading
Sam Hiyate (Rights Factory) — full sent Oct 18; reading
▸Self-Publishing UnitAgent unit · Maker + OperatorPlannedThe in-house publishing arm for the nonfiction-a-year line and any title Derek chooses to publish himself: production, metadata, launch package — then hands the finished book to Marketing & Promotion.per title
Launch package: description, categories, ARC and review plan
The handoff that matters
On publication day the finished book + launch package pass to Marketing & Promotion (Program Sales), which runs the promotion push — the unit never promotes its own book in a silo
Sales and list response flow back here as the signal for the next title
Relationship to querying
Querying (above) pursues traditional representation for END PROGRAM; this unit is the parallel self-publishing track — Derek and the Business Coach decide which track a title takes
Files & links
Literary Agent Database (workbook) · Canonical query letter — Nov 9 edit · Manuscript: END_PROGRAM_Full_Manuscript__10.16.26-2.docx
data-detail="unit:u05" tabindex="0" role="button"
05 YouTube Show
The core show as audience hub — the anchor asset everything else compounds from. One anchor piece a week, repurposed everywhere.
924/924
Library videos playing in the Manual
2
Takeout zips in progress (~3 hrs each)
▸Transcription LaneMuse subagent · OperatorActiveYouTube videos coming down via Takeout (2 zips started, ETA a couple of days for the set), then transcribed and folded into the searchable library.per video
Route
Owner downloads work where the shared-link/API path hit a quota wall
Unzipped videos upload back to Drive as they complete
Stall handling
Long lane kept moving: finished work skipped, usable partial work starts in parallel
Heartbeat flags any run silent past its window
▸Repurposing WorkerMuse subagent · MakerQueuedTurns each episode transcript into drafts — email, community post, social, short-form — community first, the rest as on-ramps back.per episode
Pattern (from the research)
Anchor piece → transcript + summary → drafts for every channel
After a quarter, the library becomes the archive the support agent answers from
▸Vimeo Embed WatcherMuse subagent · Researcher1 holdout923 of 924 videos play inside the Manual; “Emergence Video Series (Video 2, edited)” won't save its embed-domain change — still plays on Vimeo itself.per check
Distribution for the show, the books and the programs. Drafts are cheap; publishing stays human-gated until a workflow earns more authority.
—
Follower baseline set in Phase 1
2
Agents tracked
▸Social Drafting WorkerMuse subagent · MakerPlannedWill draft posts from episode and teaching transcripts in Derek's voice; nothing posts without review at L1.Phase 2
Charter sketch
Inputs: approved transcript excerpts
Outputs: post drafts + hook variants
Escalates anything touching health/finance claims
▸Music Project LaneWorkstream · CreativePlannedA music project every year or two, woven into the show and teaching — tracked here as a creative workstream, staffed when active.per project
Note
Part of the six-plank vision: Renaissance-man / human-evolution-thought-leader brand
Files & links
Drafts will land in the same review queue as email and community drafts
data-detail="unit:u07" tabindex="0" role="button"
07 Evergreen Funnel
The external evergreen funnel — themed free offers (know yourself, live abundantly, A Whole New Human, irreplaceable) → tripwire → backend offer → ascension flow. Still planning-stage by Derek's call.
4
Free-offer themes scoped
3
Agents tracked
▸Funnel Build WorkerMuse subagent · MakerQueuedBuilds funnel pages and tripwire assets when the plan is green-lit; held at planning-only until then.per asset
Standing instruction
Ascension/evergreen is planning-only — no build spend until Derek changes that
▸List Health & GrowthAgent role · OperatorPlannedOwns the email list as an asset: deliverability, hygiene, segmentation and steady growth — and converts the funnel's raw signups into an engaged, buyable audience.per week
Owns
List hygiene: bounces, dead addresses, sunset policy — a clean list is what makes every launch work
Segmentation by interest and stage of the ascension journey
Growth reporting: net adds, engagement, unsubscribes — reported as changes, not vanity totals
Receives / hands off
Receives new leads from the Evergreen Funnel and Social Media Growth
Hands warm, segmented audiences to Marketing & Promotion and Program Sales for launches
Flags list problems to the Agentic COO before they become launch problems
▸Stephanie — Funnel OpsHuman · COOActiveOwns the GHL side of any funnel: automations, campaigns, tracking.human
Coordination
ClickUp is the handoff log; Sage owns the board
Files & links
Funnel plan lives with the six-plank vision notes; Black Friday (Nov 27) offer is being handled outside this board
data-detail="unit:u08" tabindex="0" role="button"
08 Podcast Outreach
Guest invitations compound as the show grows — outreach for Derek as a guest, and booking guests for the show. Stephanie owns booking handoffs by email and Slack.
—
Pitch baseline set in Phase 1
2
Agents tracked
▸Guest Research WorkerMuse subagent · ResearcherQueuedBuilds sourced target lists — shows, hosts, fit, recent episodes — with a one-line pitch angle per target.per list
Evidence rule
Every target carries its source; no list ships on vibes
Pitch copy built from Derek's own approved words, not drafted from scratch
▸Booking CoordinatorHuman + agent pairActiveStephanie owns the booking handoffs; Muse drafts outreach and prep, Stephanie sends and schedules.per booking
Booking handoffs run through Stephanie's email + Slack; status rolls up here
data-detail="unit:u09" tabindex="0" role="button"
09 Strategy, Coaching & Business Development
The advisory unit — it serves Derek directly rather than running a workstream. Advice and opportunity-finding, grounded in Sage's deep knowledge of Derek, with every recommendation carrying its reasoning so Derek stays the decider.
3
Agents tracked
Weekly
Advisory rhythm
▸Business CoachAgent · ConsultantDesign — Phase 1Advises Derek on the best decisions across the business — pricing, launches, partnerships, where to spend time — like a consultant who has read everything and remembers all of it.per consult
How it advises
Starts from Sage's knowledge base: Derek's goals, values, history and past decisions — advice fits the man, not just the market
Brings options with trade-offs and a recommendation, never a bare answer; cites what the best operators actually do
Challenges when the evidence says challenge — a coach that only agrees is a mirror, not a coach
Coordinates with
Sage — reads her consolidated picture before advising (her Derek-only financial reports stay hers; the Coach works from status and context, not her report contents)
Agentic COO — accepted recommendations become sequenced unit work, not loose intentions
Business Development — stress-tests opportunities before Derek commits
▸Business DevelopmentAgent · Researcher + MakerDesign — Phase 1Hunts the growth routes the units can't reach alone: partnerships, guest and ally pipelines, licensing — and non-slush routes to agents and publishers for the books.per pipeline
Owns
Opportunity pipeline: sourced, fit-checked, with a one-line angle per target — every entry carries its evidence
Warm-route mapping for books: referrals, publishing and film contacts, platform leverage — the routes beyond the slush pile
Partnership drafts for review; humans make the introductions and close
Hands off
Qualified book routes to the Books unit; qualified show/ally targets to Podcast Outreach and the YouTube Show
Revenue opportunities to the Business Coach for a stress-test before they reach Derek
▸Sage — Heart & Soul Knowledge BaseAgent · Knowledge baseActiveThe deep record of Derek — values, vision, voice, decisions and their reasons — that this unit consults so advice and outreach sound like him and fit his actual goals.standing
What lives there
The six-plank vision, the refined goals, standing rules and locked decisions
ClickUp — the team's shared source of truth and handoff log, which Sage owns
Boundary (standing rule)
Sage's consolidated financial reports go to Derek only and are never opened or quoted by other agents — this unit coordinates with Sage on nonfinancial business and project status
Muse feeds Sage state changes directly, with a consolidated refresh every Friday
Files & links
Six-plank vision notes · ClickUp board (Sage) · Advisory memos land in Derek's queue above when a decision is needed
How the units connect
Handoffs · what passes, and to whom
The business works because of the arrows, not the boxes. Each chain below is a real handoff: a finished output leaves one unit as a named artifact, the receiving unit picks it up as its input, and the Agentic COO watches for any handoff that stalls. A handoff is a status change — ready for review → accepted — never a message that can get lost in a thread.
A book, end to end
Books — Querying→Representation / deal→Publishing
Books — Self-Publishing Unit→Marketing & Promotion→Launch push→Sales + list growth
Two tracks, one rule: whichever track publishes the book, Marketing & Promotion runs the promotion. The Self-Publishing Unit hands over the finished book + launch package; querying hands over the deal. Sales and list response flow back to Books as the signal for the next title.
Reach → leads → revenue
Social Media Growth→Promotion & Sales→Evergreen Funnel→Leads→List Health & Growth→Revenue
Social reach is raw material, not the goal. Promotion & Sales aim it at the funnel; the funnel converts it to leads; List Health & Growth keeps those leads engaged and buyable; Community nurtures them up the ascension journey toward programs and coaching.
The show feeds everything
YouTube Show→Transcript (Teaching Library)→Repurposing→Social · Community · Email
One anchor episode a week becomes drafts for every channel, and its transcript joins the searchable library — the same library the support drafter and session prep answer from. Outreach compounds the audience from both directions: Derek as guest, and guests on his show.
Advice & oversight loop
Sage — knowledge base→Business Coach→Derek decides→Agentic COO→All units
Business Development→Coach stress-test→Qualified routes → Books · Outreach · Partnerships
Decisions flow down the same path work flows up: units report status changes, the Agentic COO rolls them up, the Coach advises from the full picture (grounded in Sage's knowledge of Derek), and Derek's call returns as sequenced work — not a loose intention.
Customer support sits inside Community Building & Nurturing: the support drafter answers routine questions from the Teaching Library, humans take anything trust-sensitive, and recurring member questions flow back to Coaching & Teaching and the YouTube Show as topics. Support is a listening post for the whole business, not a ticket queue.
How live status works — without burning tokens
Status-change events · one table · 15-min heartbeat
Streaming every agent's every thought into a dashboard is how teams go broke watching their agents work. This board runs on the “boring” pattern the research recommends for small teams: agents speak only when something changes.
1 · Events, not streams
started→progress→blocked/failed/completed
Each agent emits one small event per state change, carrying task_id · run_id · agent · status plus a one-line summary and a blocker note when there is one. Silence means “still doing what the last event said” — which costs nothing.
2 · One small status table
Every event appends one row to a single run table. This dashboard reads only the latest status per task from that table — it never polls the agents themselves. One run_id joins the trace, the cost, the approval decision and the quality score; anything that can't join by run_id is a silo, not a dashboard.
3 · Coordinator rollups
Workers report to a coordinator (Muse, per unit), and the coordinator writes one summary line per workstream — the line you see on each card above. Twenty workers become one readable line. You open the drill-down only when a line needs your eyes.
4 · Heartbeat catches the silent failures
A scheduled check every ~15 minutes flags any run still marked “running” past its expected window — the failures that never send a “failed” event. Blocked + stale runs roll into a daily digest. Output lands as ready for review; only a human acceptance moves it to accepted — attempted, reviewed and accepted are three different states.
Cost per workstream — spend sits next to what it delivered
Workstream
What counts as one successful outcome
Tracked per run
Spend column
Books — query campaign
One verified send, or one inbox event correctly logged
tokens · tool calls · retries
Not yet measured — instrumentation lands Phase 2 (Langfuse)
YouTube — transcription lane
One video transcribed & indexed in the Manual
tokens · minutes processed
Not yet measured — Phase 2
Coaching — session prep
One prep brief Derek actually uses
tokens · sources cited
Not yet measured — Phase 2
Program sales — launch drafts
One draft accepted by Stephanie
tokens · edit distance to final
Not yet measured — Phase 2
Podcast outreach
One sourced target list / one booking
tokens · targets verified
Not yet measured — Phase 2
The number that matters is cost per successful outcome, not cost per token — a dearer run that completes cleanly is cheaper than a cheap run that retries, escalates and creates cleanup work. The research is blunt about the stakes: Anthropic's orchestrator–worker system beat a single agent by 90.2% on its research evaluation, at roughly 15× the tokens — and Google found multi-agent setups hurt sequential planning tasks by 39–70%. That's why every agent here has to justify its path on this table. Per-run and per-day budget caps pause an agent and alert its owner when hit — enforced outside the model, never just written in a prompt.
What you can use Muse for
The full breakdown
Muse is the integrator because it holds the whole picture — your memory, your files, your accounts — and can build, not just advise. The setup that gets the most out of it: keep one point of contact (you → Muse), let ClickUp be the shared handoff log, and give standing rules once instead of approving every step.
Knows you & remembers
Standing memory: your rules, people, projects, locked decisions — applied without re-briefing
Morning brief, inbox watch, calendar — the day's picture in one place
Self-check discipline: every number pulled fresh from the source before it's reported to you
Batch campaigns (like the query wave) under standing authorization, with per-item QA
Long lanes — downloads, transcription, indexing — kept moving with stall detection
Researches & verifies
Deep web research with sources, like the report behind this page
Live verification of people, companies, prices, windows — stale labels re-checked, never trusted
Best-practice first: how pros actually do it, before improvising
Builds pages & apps (Spaces)
Pages — hosted, can be published to a public link: the Master Manual, the daily brief site, this dashboard
Apps — pages with their own database that remember what you enter: trackers, planners, logs; they stay private to you
Documents too: Word, PDF, decks, spreadsheets you keep editing
Builds from your real stuff
Your Drive, Gmail, Calendar, Sheets, ClickUp, Teaching Library, workbooks
Searchable systems over your own corpus — the Asset Management System is the template
Nothing invented: dashboards show your actual agents and their actual state
The honest limits
No native phone apps; pages don't work offline
A static page can't save typed input — that's what the app kind is for; an app can't be published publicly
Live data needs a live source — this board refreshes on status events and snapshots, not magic
Deleting an artifact is permanent — Muse always checks with you first
How this gets built
Best practice, phased — from the Nov 2026 research
The dashboard is a control layer, not a chart wall. Its core object is the run record — one row per agent run, designed before the first model call — and five surfaces grow on top of it. This page you're reading is the design + live snapshot; the phases below wire it to real run data.
The run record — one row per run
Why it's there
run_id · trace_id
Connects product events, model calls, tools, retrieval and approvals
agent_name · agent_version · prompt_version
Makes regressions debuggable after a prompt edit or model change
model · input/output/cached tokens
Turns usage into cost and routing decisions
tool_calls[] · retrieval_set_id · citation_count
Separates bad agent behaviour from bad dependencies; ties quality to the exact knowledge path
approval_status · eval_scores · failure_class
Proves what was approved, rejected or timed out; makes quality searchable instead of anecdotal
The five surfaces (what grows on the run table)
Launch gates — success rate, unresolved failures, eval pass rate, approval backlog → decide whether to scale a workflow
Run explorer — searchable runs by workflow, version, model, state → debug a failed or expensive run
Trace detail — nested model / retrieval / tool / approval spans → find the exact failing step
L3 Prepare consequential actions for human approval · L4 Unattended inside narrow limits, with monitoring and stopping rules
Begin read-only; promote a workflow only after it passes real cases repeatedly
An agent trusted to draft a brief has not earned the right to touch the CRM — authority is per workflow, not per agent
Every agent gets a written charter (outcome, scope, sources, tools, evidence rules, definition of done, escalation, owner, review date) and a line in the agent register: no register entry, no credentials
WEEKS 1–2
One workflow + the run record
Pick one recurring workflow with a clear output (the query campaign is the natural first — it's already run-record-shaped)
Create the run table with the fields above; document today's baseline (cycle time, quality, human effort)
One agent, read-only or draft-only (L0–L1), with a written charter and a named business owner (Derek) and technical owner (Stephanie)
WEEKS 3–4
Coordinator + one gate
Status events wired in (started / progress / blocked / failed / completed; ready-for-review → accepted)
One consequential action behind a real approval gate — approve / edit / reject, requests expire, default is deny. This board's snapshot becomes the live view of that table
MONTH 2
Observability, evals, budgets
Langfuse (self-hosted, free) or LangSmith for traces + evals; shared trace IDs so traces survive a tool switch
A 10–20 case eval set from real tasks — golden, edge, adversarial, and approval checks (proof the agent actually stops) — run on every prompt/model change
Per-run and per-day spend caps; weekly review of cost per successful outcome, not token totals
Weekly (Derek + Stephanie): sample live work, log failures by cause, eval pass rate, rubber-stamp check (if 99% of approvals pass in seconds, the tier is wrong)
Monthly: ops review — errors, limit hits, denied approvals, cost; promote one workflow one authority level, on evidence only
Quarterly: owner review (value vs cost, keep or retire), access recertification, and test the kill switch — stop → contain → tell → fix → resume through a launch review → learn. A kill switch nobody has tested is a hope, not a control
The stack the pros converged on (Nov 2026 — verify pricing before buying)
Layer
Pick
Why / status
Agent runtime
LangGraph 1.x for anything touching money, customers or publishing; n8n as no-code glue; Claude Agent SDK if the stack goes Claude-first and file-heavy
LangGraph is the only one with checkpoint-based durable execution built in — resume from the last checkpoint after a pause instead of restarting. CrewAI is the fastest prototype but has no built-in checkpointing
Observability
Langfuse (self-hosted, MIT core; Cloud from free Hobby tier, Core $29/mo, Pro $199/mo as cited Nov 2026) — or LangSmith if you commit to LangGraph ($0 Developer / $39 per seat Plus)
Traces + prompt management + evals + dashboards in one product; emit OpenTelemetry spans with shared trace IDs
Run table + live view
Postgres / Supabase + Realtime; this dashboard as the business control layer on top
Developer tools like LangSmith Studio are IDEs, not ops dashboards — the business layer is custom, and it can start as a table + views
Avoid
AutoGen — archived (last release Sep 2025, no fixes). Helicone — in maintenance mode since its Mar 2026 acquisition; avoid for new builds
Both per the Nov 2026 framework comparisons
The honest gap: there is no published, audited case study of a founder-led courses/books/coaching business running a multi-agent fleet behind a live ops dashboard — the research looked, hard. The closest real patterns are single-agent (a creator's trained support agent answering from his own course library) or a personal AI operating system in a terminal. The documented dashboards are vendor products and engineering write-ups. The realistic move is the one above: build the run-record dashboard for this business, in phases — and become the case study. Revenue and margin figures quoted for famous one-person businesses ($15M, 94% margins and the like) are self-reported, not audited — treat them as direction, not data. Same caution for survey numbers: Gartner's “over 40% of agentic AI projects cancelled by end-2027” is an analyst projection, useful for taking governance seriously, not a measurement.