📸
Messaging & Commerce
Tara
Instagram DM Manager · Stuntwoman
Tara manages your Instagram DMs like a full-time social commerce manager. She responds to comments with DM triggers, qualifies leads, sends product links, and closes sales — all from the Instagram inbox.
Messaging & Commerce
Department
Pricing
$49/month
Price locked at hire — rises $10/month for new signups
14-day free trial · No credit card needed
Interview is free · No card needed · Cancel anytime
Advisory only — not yet automatable
Tara can strategize, draft, and advise on Instagram Graph API, ManyChat, Manychat, Chatfuel, Instagram Shopping, Meta Business Suite, Iconosquare, Sprout Social using its expertise, but can't yet connect to them directly or take real automated actions there.
The Apprenticeship Architecture
how Tara thinks, learns, and acts — 11 connected systems
System 0 · Character Core (PIC)
Immutable identity — opinions, convictions, and the lines Tara won't cross
Not a system prompt you can override. Tara's character is architectural — baked in before they see your company context. They push back. They refuse. That's the point.
● Immutable
3 opinions Tara holds with conviction
MYTH
"DMs are just customer service"
A well-run Instagram DM program is a sales channel. Direct DM conversion from a story reply to a closed order is measurable and recurring for product businesses with high purchase intent.
MYTH
"Respond to every DM manually"
At 50 DMs/day, manual response is fine. At 500/day, 4-hour response times burn intent. Automation handles the first response and routing; humans close the ones that need judgment.
MYTH
"More followers = more DM volume and revenue"
DM conversion rates often DROP as follower count grows because follower quality dilutes. Niche micro-audiences DM with purchase intent; mass audiences DM with curiosity.
3 lines Tara will not cross
#1
Never send a DM to someone who hasn't messaged first, without a clear story-reply trigger.
#2
Never close a DM conversation without a recorded outcome — bought, follow-up, or disqualified.
#3
Never send a price list before understanding what the customer is actually asking.
2 operating modes
Response
Triage, intent classification, routing, collab intake — managing high-volume DM queues without missing a signal.
5 narrative cases — tacit knowledge encoded
The 800-DM Campaign Day
A fashion brand hit 800 DMs during a campaign launch. Team overwhelmed. Built tiered intent routing (buy / collab / complaint). Humans touched only 120 DMs needing judgment; automation handled the rest with personalized context.
The Collab Request Graveyard
200 collaboration requests per week going unanswered. Built a collab intake DM flow: auto-sent media kit request, filtered by follower count and category. 40 qualified collab leads per week captured from 0.
The Price Before Discovery
Reps sending price lists on "how much?" without context. Built a 2-question pre-price discovery flow. Average order value went up 28%.
The DM Revenue Nobody Tracked
DM-sourced orders existed but were unattributed. Built DM-to-CRM bridge via ManyChat. DM-sourced revenue tracked and reported weekly within 2 weeks of implementation.
The Competitor Signal
Customers were DMing about a competitor's new feature launch. System detected the pattern across 40 DMs in 6 hours. Brand created a comparison story within 48 hours and turned the conversation.
System 1 · Domain Mastery
5 years of Messaging & Commerce expertise — baked in at deploy
Named frameworks, tools at feature depth, hard-won judgment from 5 years in the field. What Tara knows without you telling them anything.
● Live
Instagram DM automationComment-to-DM triggersStory reply managementSocial commerceInfluencer DM coordinationLead qualification via chatInstagram Shopping integrationBroadcast DM campaigns
↓ grounded in your business via
System 2 · Company Intelligence Vault (CIV)
Documents cited, never blindly absorbed — your context, always available
Feed Tara your SOPs, product catalog, website, and org chart. Every citation is traceable to source. Documents are held as an untrusted channel — referenced, not merged into core beliefs, so a bad document can't corrupt Tara's judgment.
Configure after hire
📄
Documents
PDFs, Notion, Google Docs — chunked and indexed
🌐
Website
Your site, read each session for current context
📋
SOPs & playbooks
Standard processes, always on
🏢
Org structure
Who is who, roles and reporting lines
📦
Product catalog
What you sell, how it's positioned
System 3 · Distillation Engine
Sessions compressed into wisdom — raw conversations never stored
After every session, a background job distills what was learned: preferences revealed, decisions made, beliefs updated. The raw transcript is discarded. Only the compressed judgment survives — which also structurally blocks prompt injection attacks.
After every session
⚗️
Preference extraction
Communication style, format preferences, quality standards — extracted, not copied
🔒
Injection barrier
Schema-level protection — injected instructions structurally cannot survive distillation
📐
Decision capture
What was approved, rejected, or escalated — and why
🔄
Belief updates
What was learned this session, and how it updates the working model
System 4 · Compounding Knowledge Graph (CKG)
Beliefs that decay, compound, and never silently overwrite each other
Bitemporal storage — every belief has an event_time and ingestion_time, so you can replay Tara's state at any past moment. Ebbinghaus decay: confidence in unvalidated beliefs drops over time, prompting confirmation rather than silently persisting stale data.
Compounds over time
🕰️
Bitemporal storage
Time-travel debugging — replay any past belief state
📉
Confidence decay
Stale beliefs lose confidence until re-validated by new sessions
⚠️
Conflict detection
New beliefs flag contradictions — never a silent overwrite
🧬
Belief evolution
Full audit of how the working model changed over months
System 5 · Relationship Memory + Emotional Intelligence
Knows everyone in your world — and never forgets the context that matters
Every customer, lead, partner, and stakeholder accumulates context over time. Communication style preferences, interaction history, implicit commitments, relationship dynamics — all retained so Tara never re-introduces anyone.
Builds after hire
🎯
Leads & prospects
Qualification history, interaction log, next steps
🤝
Customers
Deal context, preferences, relationship health
🔗
Partners
Context, agreements, relationship dynamics
💭
Communication style
How each person prefers to be spoken with
System 6 · Proactive Intelligence Network (PIN)
Tara watches specific signals — and briefs you before you ask
Event subscriptions, not cron polls. Tara watches domain-specific signals that actually matter for their function. When a signal fires, they queue a proactive brief rather than waiting for you to notice.
Always watching
Tara's 7 active watch patterns
WATCH
DM response time exceeding 1 hour during business hours (intent decay)
WATCH
Collaboration request inbox growing without a capture flow in place
WATCH
Story reply volume spiking without a triggered follow-up in place
WATCH
DM-to-purchase conversion rate declining (qualification or follow-up gap)
WATCH
Price inquiry answered without discovery (AOV suppression)
WATCH
DM conversations closing with no recorded outcome (attribution gap)
WATCH
Automated message flagged by user as spam (flow relevance problem)
System 7 · Action Layer — Trust Ladder
Four autonomy modes — capabilities earn trust, not time
Tara starts at Research Only. Each level requires demonstrated accuracy before escalating — not days on the calendar. You can also grant or revoke autonomy per-task type at any time.
Starts: Research Only
Research Only
DM volume and intent pattern analysisCompetitor DM signal monitoring
Draft for Approval
DM flow design and intent routing logicCollab intake sequence
Act with Notification
DM response from pre-approved flow libraryIntent flagging and routing to human team
Fully Autonomous
None by default — owner unlocks after track record demonstrated
System 8 · Meeting Intelligence Loop
Pre-brief → live notes → action items owned to completion
The gap no competitor fills. Most AI tools stop at the meeting. Tara briefs you before, captures decisions during, extracts action items after, and follows each item to completion — no decisions lost, no follow-through broken.
The gap closed
Before
📋
Pre-brief
Agenda, context, objectives — in your inbox before you walk in
→
During
✍️
Live notes
Structured notes with decision markers and open questions flagged
→
After
✅
Action items
Extracted decisions, assigned owners, deadlines — pushed to your tools
→
Until done
🔄
Follow-through
Tracks each item to closure. Flags stalled items before they become forgotten commitments
System 9 · Outcome Attribution
Tracks what worked, what failed, and why — so mistakes don't repeat
Tara owns their KPIs. Every outcome — good or bad — feeds back into their judgment. Failure memory is a first-class feature: what didn't work, the root cause, whether a retry under different conditions would be warranted.
Self-reporting
Tara's 6 owned KPIs
KPI
DM-to-purchase conversion rate
KPI
Average first response time (target: <15 minutes during business hours)
KPI
Collab lead capture rate from inbound requests
KPI
DM-attributed revenue per week
KPI
Conversation close rate with recorded outcome (target: >90%)
KPI
Story reply engagement rate vs broadcast reach
System 10 · Cross-Employee Cortex (CEC)
Persistent shared intelligence across every employee you hire
When Tara discovers something that changes how the business should operate, that organizational intelligence is available to every other employee — without a meeting, without a memo, without anyone remembering to tell anyone.
Grows with team
🧠
Shared org memory
What the business knows — not what one employee knows
🤝
Handoff intelligence
Pipeline context passed automatically to the next employee who needs it
⚡
No duplicate work
Research done once is available to all employees on the team
📡
Team-aware decisions
Each employee knows what the rest of the team is working on
