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$10 Dances – Open to Close
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![Love this. An AI Auto‑Negotiator inside VerifyCreator will save tons of back‑and‑forth and make you seriously sticky. Here’s a clean, buildable plan you can hand to Replit right now. ⸻ What we’re building (MVP) An email “copilot” that: • Reads inbound creator/agent emails in a thread • Decides intent (quote, counter, question, stall) • Generates the next reply within your guardrails (tone, min/max terms, concessions) • Waits/schedules replies per your timing rules • Logs every step; lets the user approve or auto‑send ⸻ Config model (per brand or per campaign) Key knobs the user sets: • Tone/Aggression: non_aggressive ←→ balanced ←→ aggressive • Response Cadence: min_wait_minutes, max_wait_hours, working_hours_only • Terms Guardrails: • target_rate (e.g., £1,000) • floor_rate (walk‑away) • ceiling_rate (if you’re the buyer) • max_deliverables, min_deliverables • usage_rights allowed (organic only / paid whitelisting / duration) • exclusivity allowed + caps (category, duration) • payment_terms (NET 7/14/30, deposit %, escrow) • Concession Ladder: ordered list the AI may trade, e.g. 1. Minor timing flexibility 2. Light usage rights extension 3. +1 Story (but reduce fee) 4. Small bonus if ROAS target hit (performance‑based) • Hard Stops: phrases/conditions that force human review (e.g., “perpetual rights”, “exclusivity > 90 days”, “political content”). ⸻ Decision engine (simple state machine) States: IDLE → DRAFTING → AWAITING_APPROVAL → QUEUED → SENT → AWAITING_REPLY → ESCALATE/HUMAN Transitions: • New inbound → classify intent & extract numbers → compare vs policy → draft reply → (auto‑send or hold) → schedule follow‑up if no reply. ⸻ LLM prompt skeletons (OpenAI) 1) Intent + extraction System: You are a contracts-savvy negotiation assistant for influencer deals. Extract structured terms and classify the sender’s intent. User (context): - Brand policy JSON: - Thread summary: - Latest email: Assistant: Return strict JSON: { "intent": "initial_quote|counter_offer|clarification|stall|legal_concern|other", "extracted_terms": { "fee": , "currency": "GBP|USD|EUR|null", "deliverables": {"posts": int, "stories": int, "platforms": ["ig","tt"]}, "usage_rights": {"paid_whitelist": bool, "duration_days": int|null}, "exclusivity": {"category": string|null, "duration_days": int|null}, "timeline_days": int|null, "payment_terms": "NET14|NET30|deposit_50%" }, "red_flags": ["perpetual_rights", "political", "adult_nsfw", ...] } 2) Counter‑proposal drafting System: You negotiate firmly but politely, obeying hard stops. Optimize for long-term value, not just price. User: - Brand policy JSON: - Parsed_terms: - Concession ladder: - Tone: - Goal: Reach agreement within guardrails (floor_rate, max_rights, etc.) Assistant: - Produce: subject, body (plain text), reasoned "why", and a bullet list of concessions used. - Keep ≤ 180 words, clear asks, 1 CTA. No legal jargon. ⸻ Tool/function calls the model can use • lookupCreatorProfile(creator_id) → audience, historical rates • getBenchmarkRate(platform, followers, region, deliverables) → internal estimator • proposeTerms(payload) → normalizes fee/rights vs guardrails • scheduleEmail(send_at, to, subject, body, thread_id) • flagForHuman(reason, highlights[]) • updateThreadSummary(latest_message, extracted_terms) (You’ll wire these as function-calls / tools for the model.) ⸻ Data schema (simplified) tables • email_threads(id, user_id, creator_id, subject, status, last_message_at, summary_text) • emails(id, thread_id, direction, from, to, body, headers_json, sent_at, draft, llm_meta_json) • negotiation_policies(id, user_id, json_policy, created_at, updated_at) • schedules(id, email_id, send_at, status) • audit_log(id, thread_id, action, details_json, created_at) ⸻ Scheduling logic • Respect working_hours_only (use user timezone). • Randomize within a window: send_at = now + jitter( min_wait_minutes .. max_wait_hours ) to feel human. • Pause on weekends (configurable). ⸻ Safety & compliance • Human‑in‑the‑loop toggle (default ON for first 5 threads). • Always include unsubscribe/opt‑out and identity footer (CAN‑SPAM/GDPR). • Never exceed floor_rate or grant prohibited rights. • Auto‑flag sensitive words (political, alcohol, adult, etc.) per brand rules before sending. ⸻ Acceptance tests (quick) 1. Offer below floor → AI declines politely + proposes alternatives → HOLD for human. 2. Ask for perpetual usage rights → AI refuses, counters with 90 days, explains why. 3. No reply in 72h → auto follow‑up #1; in 5 days → follow‑up #2 with slight concession #1. 4. Tone slider affects language (hedging vs forthright). ⸻ Minimal TypeScript wiring (concept) // openai + mail provider pseudo import { openai } from "./llm"; import { sendEmail, listReplies } from "./mail"; import { scheduleJob } from "./scheduler"; import db from "./db"; export async function handleInboundEmail(raw) { const thread = await db.upsertThread(raw); const policy = await db.getPolicy(thread.user_id); const parsed = await openai.intentExtract({ policy, thread, email: raw.body }); if (parsed.red_flags?.length) return db.flag(thread.id, parsed.red_flags); const draft = await openai.draftCounter({ policy, parsed, tone: policy.tone, concessions: policy.concession_ladder }); const requiresHuman = violatesGuardrails(draft, policy); const emailRecord = await db.saveDraft(thread.id, draft, { parsed }); if (policy.auto_send && !requiresHuman) { const sendAt = nextBusinessTime(policy); await db.schedule(emailRecord.id, sendAt); scheduleJob(sendAt, async () => { await sendEmail(thread.reply_to, draft.subject, draft.body, thread.message_id); await db.markSent(emailRecord.id); }); } } ⸻ UI bits to add • Auto‑Negotiator toggle per workspace/campaign • Tone slider + preview language • Guardrails editor (fee floors, rights caps, exclusivity limits) • Concession ladder builder (drag to reorder) • Approval queue (diff view: what AI changed vs last draft) • Policy badges on threads (“Auto”, “Hold”, “Flagged”) ⸻ Replit build prompt (copy/paste) Project: VerifyCreator – AI Auto‑Negotiator for Email Goal: Add an inbox‑aware negotiation agent that drafts/schedules replies within user‑defined guardrails. Tasks 1. DB & Models • Add tables: email_threads, emails, negotiation_policies, schedules, audit_log (see schema above). • Migrate and seed a default negotiation_policies JSON. 2. Inbox Integration • Connect existing email provider (SendGrid/Mailgun/Gmail API). • Ingest inbound → map to email_threads by message-id/in-reply-to. • Build list‑pane + thread‑view UI (mobile‑responsive). 3. LLM Tools • Implement 2 prompts: intentExtract and draftCounter (exact skeletons above). • Expose tools: lookupCreatorProfile, getBenchmarkRate, proposeTerms, scheduleEmail, flagForHuman, updateThreadSummary. 4. Policy Engine • JSON config with: tone, cadence, floor/target/ceiling, rights/exclusivity/payment guardrails, concession ladder, hard stops. • Validator that rejects drafts violating guardrails. 5. Scheduling • Business hours + jitter sending. • Follow‑up sequence template: 48–72h, 5d, 10d; each can unlock next concession from ladder. 6. UI Controls • Settings → “Auto‑Negotiator” page: tone slider, cadences, guardrails, concessions (drag‑drop), hard‑stop keywords. • Thread view → “AI Draft” panel with Approve / Edit / Auto‑send. • Badges: Auto / Hold / Flagged. 7. Compliance • Footer block with identity + unsubscribe link. • Auto‑flag sensitive categories; require approval when present. 8. QA • Implement the 4 acceptance tests listed above as integration tests. • Add logging for every AI decision to audit_log. Deliverables • Working inbox/outbox UI with AI drafts and scheduling • Policy editor page • Tests passing • Short README explaining env vars (OpenAI, mail provider) and how to run the scheduler ⸻ If you want, I can also draft the exact JSON schema for negotiation_policies and a couple of tone-calibrated email templates you can A/B test on day one.](https://caligirls2sa.com/wp-content/uploads/2025/08/Web-CGSA-Weekly-Specials-Monday.jpg)
Monday Special
Purchase a $10 wristband and get 4-for-$40 topless dances all night long
$10 Dances – Open to Close
15min VIP’s – $100 (5PM to Close)
Ask about our Mocktails and Ice Cold Non-Alcoholic Beers
Tuesday Special
Purchase a $10 wristband and get 2-for-1 topless or nude dances all night long
$10 Dances – Open to Close
15min VIP’s – $100 (5PM to Close)
Ask about our Mocktails and Ice Cold Non-Alcoholic Beers
Wednesday Special
$10 Dances (Open–Close)
10min VIP’s $80 (5PM–Close)
Ask about our Mocktails and Ice Cold Non-Alcoholic Beers
Thursday Special
Free Entry with Drink Purchase ($10)
$10 Dances (Open–Close)
5min VIP’s $60 (5PM–Close)
Ask about our Mocktails and Ice Cold Non-Alcoholic Beers
Friday Special
Ask about our Mocktails and Ice Cold Non-Alcoholic Beers
