Pain Point #1:
“They worked more - but not shipping new features. They were now spending more time reviewing and fixing AI slob. My current theory - AI helps the individual not the team.” … “with keeping JIRA and github synced.” (Post 9)

Opportunity: Team-AI Guardrail + Delivery OS
A GitHub/Jira-native layer that:
- Converts PRDs into granular tickets with dependency graphs.
- Blocks/flags AI-generated “slob” pre-merge via org-specific code patterns, architecture rules, and stylometry.
- Auto-syncs GitHub ↔ Jira; enforces exit criteria; maps change impact across services.
- Ships weekly “rework tax” reports showing hours wasted fixing AI output and a “velocity restored” metric tied to shipped features.

Pricing:
- Pilot: $15k for 8 weeks (teams 10–50 devs).
- After: $29–$59/dev/month + $499/month workspace.

First 10 Customers:
- VP/Head of Engineering at B2B SaaS (20–200 employees) that rolled out Copilot/Codeium in the last 6 months.
- Director of Platform/DevEx at fintech or healthtech with microservices and strict coding standards.
- Eng Managers at agencies/consultancies delivering fixed-bid projects.

MVP in 48 Hours:
- GitHub App + Jira webhook skeleton that:
  - Parses PR titles/commits to update Jira; auto-creates subtasks from a pasted PRD using an LLM.
  - Pre-merge check: run AST/static rules (Semgrep + custom) to flag style/arch violations; label PRs “AI-risk.”
  - Slack digest showing “AI rework tax” (PRs reopened, review cycles, lines reverted).
- Typeform onboarding + Loom demo; deliver the first 2 teams manually with you triaging rules behind the scenes.

Justification:
- Demand: “They worked more - but not shipping new features.” … “reviewing and fixing AI slob.” … “keeping JIRA and github synced.” Multiple founders echo post-AI rollout disappointment: higher motion, lower throughput.
- ROI: If a 20-dev team wastes 3 hrs/dev/week on AI rework, that’s ~240 hrs/mo. At $120/hr loaded, ~$28,800/mo saved. Your $2–5k/mo price is a rounding error if you cut rework 30–50% in 30 days.
- Scalable: Horizontal pain across every eng org adopting AI. Low-touch integrations (GitHub/Jira/Slack). Rule packs template-ize by stack (Node/Java/Python, monorepo/microservices).
- Purple Cow/Controversial: You preemptively block bad AI code and quantify “AI tax.” Opinionated, enforcement-first—sells because it’s measurable and gutsy.

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Pain Point #2:
“They just didn’t feel right - either sluggish with stilted breaks, or simply unable to keep up a real discussion.” … “I don’t need a complicated system - really, just a tool capable of natural conversation to sort out who’s genuinely interested.” (Post 24)

Opportunity: Bionic SDR: Supervised Voice AI That Books Real Meetings
A low-latency voice agent with real-time human “whisper” backup for the 20% hard moments. Guarantees:
- <250ms turn-taking, natural prosody, barge-in handling.
- Dynamic qualification logic tied to ICP; instant human takeover on confusion/objections.
- CRM-native: logs calls, updates stages, books calendars, sends summaries.

Pricing:
- Per qualified meeting: $150–$250 (vertical-dependent) + $1,500 monthly minimum.
- Or $40 per connected call + outcome bonus.

First 10 Customers:
- Head of Growth at multi-location home services franchisors (HVAC, roofing) with inbound leads needing fast call-backs.
- Marketing Directors at dental/med-spa chains booking consults.
- Sales Leads at B2B appointment-setting agencies drowning in low-intent leads.
- Broker/Team Leads at real estate ISAs managing high-volume inquiries.

MVP in 48 Hours:
- Twilio/VAPI/Retell + Deepgram stack for live voice.
- Route to a human supervisor in Aircall/Zoom via whisper when confidence drops (you/the team are the humans at first).
- Simple HubSpot/Pipedrive integration via Zapier; Calendly booking; deliver first customers manually.
- Land with one vertical script (e.g., home services), run A/B on openings, report show rates.

Justification:
- Demand: Founder tried Bland AI, Alta, Synthflow: “sluggish… stilted… unable to keep up.” Asking for one thing: “natural conversation to sort out who’s genuinely interested.”
- ROI: If current SDRs book at 2–4% from inbound and you deliver 6–8%, at 200 leads/mo that’s 4–12 extra meetings. At $1–5k LTV per customer, the unit economics are obvious.
- Scalable: Start supervised to win quality, then shrink human assist as models/custom grammars improve. Vertical playbooks replicate across niches. Pay-per-outcome scales demand-side.
- Purple Cow/Controversial: Everyone’s selling “pure AI.” You sell honesty: supervised AI with outcome guarantees. It works now, not “someday.”

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Pain Point #3:
“The administrative aspectburden of proper shutdown seems to be a major factor in founders avoiding the decision.” … “The two zombie companies are the frustrating ones because the founders won't make a decision either way and we aren’t able to write off the investments until they send us their K1s.” (Post 26)

Opportunity: Clean Exit OS: One‑Week Startup Shutdown + K‑1s for Funds
A turnkey closure service for founders and seed funds:
- Delaware dissolution, state withdrawals, IRS filings, creditor notices, asset/IP assignment, cap table wind-up.
- Fund-facing: compile docs, finalize statements, generate/deliver K‑1s fast so GPs/LPs can write off.
- “Zombie buyout” option: you acquire the entity for $1 and assume closure tasks; 10‑day K‑1 SLA or fees refunded.
- Founder rebound pack: post‑mortem, reference letter, “closed cleanly” certificate, and warm intros for next raise.

Pricing:
- Flat $7.5k for standard Delaware C‑Corp (<10 creditors, single state). Add‑ons: +$1.5k per extra state; +$2k fund K‑1 pack; +$1k SPV coordination.
- Bulk: $25k for 5 closures (fund bundle).

First 10 Customers:
- Fund Controllers/Principals at seed funds (30–100 portcos) facing 2024–2025 write-offs.
- Startup CEOs with <6 months runway wanting a clean, fast wind‑down.
- Fractional CFOs/firm admins who need a reliable shutdown partner.
- Accelerator program directors managing many dissolutions at once.

MVP in 48 Hours:
- Webflow site with a “Start Shutdown” Typeform; Calendly for 15‑min triage.
- Airtable checklist per company; Notion data room template.
- Partner with a registered agent + a fractional CPA + a paralegal. Do the first 3 manually.
- Offer a “10‑day K‑1 or 50% off” guarantee for one fund to validate speed as the key wedge.

Justification:
- Demand: “administrative… burden” prevents shutdown; “zombie companies are… frustrating” and “we aren’t able to write off… until they send us their K1s.” Clear, repeated pain in a down market.
- ROI: Founders recover months of cognitive load and stop personal cash burn; funds get timely tax write‑offs and cleaner LP comms. A $7.5k fee vs. months of drift is trivial.
- Scalable: Highly templatized workflows by state/entity; repeatable docs; bulk fund deals. Channel via fund controllers and fractional CFO networks.
- Purple Cow/Controversial: The “zombie buyout” where you purchase the shell and assume closure risk is bold and outcome‑oriented; the K‑1 SLA is the killer wedge for funds.