Just want the blueprint? You can buy that too.
If you already have engineers (or Claude Code + your own time), we also sell the playbooks we use internally — setup guides, query templates, prompt frameworks, refresh scripts. You build it yourself; we hand you the blueprint + a 30-minute walkthrough call.
MCP Dashboard Pipeline Blueprint
$497
The exact setup guide we ship to clients for MCP-to-Vercel static-JSON dashboards.
Buy now — $497
Autonomous Agent Blueprint
$497
Productized pipeline scaffolding — competitive intel, customer signal, exec rollup, founder KB. Pick one.
Buy now — $497
Content Operations Blueprint
$797
The full field-proven pipeline playbook — script, HeyGen, Pikzels, thumbnail, blog, Shorts, LinkedIn, quality gates.
Coming soon — join waitlist
Typical delivery 5–7 business days after purchase. Includes .md files + templates + 30-min 1:1 walkthrough. No ongoing support. 48-hour conditional refund (see terms). Not sure which fits? Book a call.
How to pick
- → Not sure where to start? Try Repurpose Engine — $997/month Lowest-commitment entry. We turn your existing YouTube/Loom/Fathom videos into 30+ pieces of content a month. 3-month minimum, no setup fee. Upgrade credit locks in if you want to scale up.
- → Content Operations If channel growth matters more than your face being on it. Brand-first content across YouTube, LinkedIn, blog, X, Reels, TikTok. Five tiers from $997 to $17,500/month. Want YOUR face on every video? Add a custom founder avatar (+$2,000/month + $2,500 setup).
- → Agent Infrastructure (MCP) If you want Claude, ChatGPT, and Cursor to talk to your databases, CRMs, and internal tools. Custom-built bridges, source code is yours.
- → Autonomous AI Agents If you want AI workers monitoring tickets, drafting reports, escalating issues, generating weekly rollups, surfacing customer signal — across Slack, Teams, email, or a dashboard. Includes 4 productized pipelines + 4 custom tiers.
- → Advisory If you want strategic guidance without a full build — one-day audits, 90-day playbooks, quarterly fractional engagements.
Not sure which fits? Book a 15-minute call and we'll map your situation to the right engagement.
Content Operations
Multi-channel content production for B2B SaaS founders. From any input — Loom, Fathom, Google Doc, voice memo, or just a topic list — we ship YouTube long-form, Shorts, LinkedIn, blog, and X/Twitter content. You never touch a tool.
The pipeline accepts whatever you have: a 30-minute Loom recording, Fathom call transcripts, written briefs, audio recordings, existing YouTube videos to repurpose, or just a list of topics. Don't want to be on camera? We use a brand-matched AI presenter at no extra cost on Scale and Authority. First content goes live within 7 days of input — every tier.
Want YOUR face on every video? Add a custom founder avatar (Pipeline Lite, Scale, or Authority) —
+$2,000/month + $2,500 setup. Your face + cloned voice on every long-form video and Short.
See add-ons ↓
Entry tiers — try the pipeline first, low commitment
Lower-volume, productized starting points. 3-month minimum, monthly billing, no setup fee. Upgrade to a full pipeline tier any time — your first month's fee credits toward the upgrade.
Repurpose Engine
$997/month
What changes
Your existing YouTube, Loom, or Fathom videos become 30+ pieces of content every month. No new recording needed.
- You provide: 1 existing video per week (YouTube URL, Loom link, Fathom call, or recording)
- 3 YouTube Shorts per week clipped from your video
- 2 LinkedIn posts per week pulled from your video content
- 1 monthly blog summary
- X/Twitter cross-posting
- Monthly analytics report
- Monthly billing, cancel anytime after month 3
ROI: 10x distribution from videos you've already recorded. Same source, every channel.
Pipeline Lite
$1,997/month
What changes
Full pipeline at minimum volume. Prove ROI before scaling up.
- You provide: 1 monthly Loom, Fathom, voice memo, or topic list
- 1 long-form YouTube video per month
- 4 YouTube Shorts per month
- 8 LinkedIn posts per month
- 1 blog post per month
- X/Twitter cross-posting
- Monthly analytics report
- Stock AI presenter available (+$500 one-time setup)
ROI: Same pipeline that produced 607% view growth, at 1/4 the cost of Starter. Upgrade credit locks in if it works.
Full pipeline tiers — 6-month minimum
Higher volume, multi-channel, premium capacity. Capped tiers protect delivery quality.
Starter
$3,200/month
What changes
Get back 8-12 hours/week your team spends on content. Start building channel growth.
- 4 YouTube Shorts per week
- 3 LinkedIn posts per week
- 2 blog posts per month
- X/Twitter cross-posting
- Monthly analytics report
- Weekly status update
- Stock AI presenter available (+$500 one-time setup)
ROI: ~$50K/year of internal time recovered + first compounding views on every channel.
Scale — capped at 2 clients
$8,500/month
What changes
Replace a $130K content lead with a multi-channel pipeline at $102K/year — same output, faster turnaround.
- 2 long-form YouTube videos per week
- 15 YouTube Shorts per month, also published to Instagram Reels and TikTok
- Daily LinkedIn posts (Mon–Fri)
- 2 blog posts per month
- X/Twitter cross-posting
- Monthly LinkedIn newsletter
- Monthly analytics report
- Weekly status update
- Stock AI presenter included (no setup fee)
ROI: Save $28-58K/year vs senior content hire + 5-platform coverage instead of 1.
Authority — capped at 1 client
$17,500/month
What changes
Aggressive growth tier. 5 long-form/wk + daily Shorts/LinkedIn + blog + newsletter — output volume of a 3-person content team.
- 5 long-form YouTube videos per week
- 21 YouTube Shorts per month, also published to Instagram Reels and TikTok
- Daily LinkedIn posts (Mon–Fri)
- 3 blog posts per month
- Monthly LinkedIn newsletter
- X/Twitter cross-posting
- Monthly analytics report
- Weekly strategy call (30 min)
- Quarterly content strategy review (1-hour call + 5-page strategy doc)
- Priority support (4-hour response window)
- Custom AI presenter persona (style-matched to brand, demographic-matched to your buyer)
ROI: Output of a 3-person content team at 30% less than the loaded cost to hire them ($210K/yr vs ~$300K+). Track record: 607% view growth. 589% subscriber growth. 299% watch-time growth. Monetization followed at day 90 — first MRR lift since 2024.
Add-ons
- Custom founder avatar persona (your face + cloned voice on every long-form video and Short, replacing the stock AI presenter): +$2,000/month + $2,500 one-time setup (Pipeline Lite, Scale, and Authority only — tiers that produce long-form video). Includes 1 free avatar re-record per year.
- Instagram Reels distribution: +$500/month (Starter only — included in Scale and Authority)
- TikTok distribution: +$500/month (Starter only — included in Scale and Authority)
- Both Instagram Reels + TikTok bundled: +$750/month (Starter only)
- Launch sprint for active retainer clients: $4,500 (Starter) · $9,500 (Scale) · $18,500 (Authority) — 4-week compressed delivery for product launches, funding announcements, or book/course launches. Roughly 2× your monthly output inside a 4-week arc. Book a call to scope timing.
- Entry tier buyers who want Instagram Reels or TikTok: upgrade to Starter ($3,200) and add the bundled distribution (+$750) for $3,950/month total.
- Not ready for a full retainer? Content Operations Blueprint — $797. We hand you the full proven playbook (scripts, HeyGen, Pikzels, thumbnail, blog, Shorts, LinkedIn, quality gates) and you build it yourself. Typical delivery 5–7 business days after purchase, 30-min walkthrough, no ongoing support.
- Custom or expanded scope: Available on request — book a call
No content? No problem.
Bring whatever you have — Loom recording, Fathom call, Google Doc, voice memo, audio file, YouTube video, or just a list of topics. If you'd rather not be on camera, we'll use a brand-matched AI presenter. If you have nothing at all, we'll build content from your product, your customers, and your industry. First content live within 7 days, regardless of input.
Agent Infrastructure — MCP Server Development
Connect Claude (and ChatGPT and Cursor) directly to your business data and tools.
An MCP server is a live bridge between AI assistants and your internal systems — your database, your CRM, your billing platform, your custom admin panel, your marketplace data, your sales channels. Instead of copying and pasting data between tools, your team can just ask in natural language and get the answer immediately.
Five tiers, from a lightweight dashboard pilot to full enterprise integration. Built to the latest industry standards with modern secure authentication — so your security team approves it and your auditors don't flag it. Works with every major AI assistant your team already uses (Claude, ChatGPT, Cursor, and more). Source code is yours on day one. Runs in your cloud, not ours.
Real-world queries clients ask
- "What's our pipeline value for accounts not touched in 30 days?" — Claude queries your CRM directly.
- "Pull last week's churn list and draft outreach for each customer." — Claude reads your billing system, writes the emails.
- "Show me Sentry errors for the past hour grouped by service." — Claude calls Sentry, summarizes.
- "Show competitor price movement across our tracked SKUs for the past 7 days." — Claude calls your data tool, flags significant changes.
Is MCP right for you? Full MCP builds (Connector / Suite / Platform) typically suit companies with internal engineering teams or $20M+ ARR. For smaller operations, first-time MCP buyers, or teams just validating the concept — start with the Dashboard Pipeline ($4,500) or Production Hardening ($5,500). Both credit 100% toward a Connector upgrade within 90 days.
Entry tiers — try MCP before committing to a full build
Fixed-scope, lower-commitment starting points. Both convert to a Connector / Suite / Platform build with full credit if you need production-grade scope within 90 days.
MCP Dashboard Pipeline
$4,500 one-time
What changes
A live dashboard for your real business data — revenue, pipeline, support, operations, whatever you need to see — deployed to a URL your team can check 24/7. No more logging into 5 systems to get one answer. No more CSV exports. No engineering hires.
- One of your business systems connected to your dashboard — database, CRM, billing, analytics, ticketing, anything that holds your numbers (we handle the technical connection — no protocol knowledge required)
- A deployed dashboard at a URL your team can check 24/7 (default: Next.js on Vercel's free tier — any framework or host available on request)
- Your dashboard reads from a data file that refreshes on schedule — no live database credentials to manage, no ongoing hosting costs beyond the platform's free tier
- Automatic refresh on whatever schedule fits — daily, weekly, monthly, your call
- 1 walkthrough call (30–60 min)
- 14 days post-delivery bug-fix support
- 7–14 business day delivery
- 100% upgrade credit toward MCP Connector within 90 days
ROI: A shareable dashboard for your real data, built in days not sprints. Your team sees live numbers. Your investors see proof. You skip weeks of internal engineering.
MCP Production Hardening
$5,500 one-time
What changes
Your DIY MCP becomes production-safe. The piece you couldn't finish on your own — enterprise authentication, proper logging, tested against every major AI client — finished in under two weeks.
- Modern enterprise-grade authentication so your security and compliance teams approve it without question (technical: OAuth 2.1 + PKCE + RFC 9728 Resource Indicator compliance)
- Cloud-deployable upgrade if your MCP only runs on a local machine right now (technical: Streamable HTTP transport migration from stdio)
- When something goes wrong, you'll see exactly what and where — no more silent failures (technical: structured logging + production error tracking integration)
- A safe-copy environment to test changes before they hit real users, plus documentation your team or future engineers can actually follow
- Tested against every major AI assistant your team might use (Claude Desktop, Claude Code, ChatGPT, Cursor, Continue, Cline)
- 1 walkthrough call
- 7-day post-delivery bug-fix window
- 5–10 business day delivery — guaranteed
ROI: Skip 2–3 months of MCP spec research and 40+ hours of authentication implementation. Your existing code becomes safe to hand to paying customers, compliance teams, and enterprise buyers.
Full production builds
End-to-end MCP builds for companies replacing agency work, integrating multiple systems, or deploying to enterprise-grade SLAs.
MCP Connector
$14,500 one-time
What changes
Stop copy-pasting between Claude/ChatGPT and your tools. Save ~10 hours/week of manual lookup.
- One business system connected so Claude or ChatGPT can query and update it directly — 6 to 10 actions supported (examples: "pull customer records," "create ticket," "update account notes")
- Simple authentication that fits your system — either a basic API key (fastest) or modern secure login (technical: OAuth 2.1 with PKCE)
- Cloud-deployable production-grade technology (technical: Streamable HTTP transport)
- Runs in your cloud (Fly.io, Railway, AWS, Google Cloud, Azure — you pick) — you own the infrastructure
- Full error visibility — alerts the moment something breaks, not days later (technical: structured logging + Sentry integration)
- Works with every major AI assistant (Claude, ChatGPT, Cursor, and more)
- 1× 60-min training walkthrough (recorded for your team)
- 14 days post-launch bug-fix support
- Working demo by Day 5 — guaranteed
- Production-ready in 2-3 weeks
ROI: ~$52K/year of engineering time recovered. Pays back in ~4 months.
MCP Suite
$32,500 one-time
What changes
Multi-system fluency for AI assistants. Replace $60K+/year of point SaaS subscriptions with one custom layer.
- Three business systems connected (example: CRM + billing + data warehouse) — around 20 to 25 AI actions supported across them total
- One login that works across all three systems — users don't re-authenticate three separate times (technical: RFC 9728-compliant shared OAuth 2.1 authorization layer)
- 3-5 pre-built AI workflows that pull from multiple systems at once (example: "show me churn-risk accounts + their billing status + any open support tickets")
- Fine-grained access control — the AI only sees what you explicitly authorize (technical: RFC 9728 Resource Indicators per MCP spec 2026-03-15)
- Reliable cloud-deployable technology (technical: Streamable HTTP transport)
- Runs in your cloud with a safe-copy environment for testing changes before they hit real users
- Full error visibility across all three systems (technical: structured logging + Sentry)
- Works with every major AI assistant (Claude, ChatGPT, Cursor, and more)
- 2× walkthroughs (one for your engineers, one for business users)
- 30 days post-launch tuning
- Working demo by Day 10 — guaranteed
- Production-ready in 4-6 weeks
ROI: Pays back in <12 months from SaaS subscription replacement alone. Eliminates vendor lock-in forever.
MCP Platform
$58,500 one-time
What changes
Production-grade enterprise integration. Comparable to internal eng team build ($300K+/year) at one-time cost.
- Five business systems connected — around 30 to 40 AI actions supported across them total
- Enterprise authentication with fine-grained access control (technical: OAuth 2.1 with RFC 9728 Resource Indicators)
- AI can pull data, make updates, or run bulk operations — not just read-only
- Real-time reactions — when something changes in one system, the AI acts immediately without waiting for a query (technical: webhooks support)
- An admin dashboard showing exactly how the AI is being used — which actions get called most, where things slow down, where errors happen
- A separate testing environment from live, plus automated deployment pipelines so updates ship safely (technical: staging + production with CI/CD)
- Tested under real-world traffic volumes with documentation your auditors will accept (technical: load testing with documented results)
- Works with every major AI assistant (Claude, ChatGPT, Cursor, and more)
- 3× walkthroughs + 1× admin training
- 90 days post-launch tuning
- Working demo and production-ready timeline scoped on kickoff call based on integration complexity, auth provider requirements, and staging environment constraints
- Enterprise features — single sign-on (SSO/SAML), role-based permissions (RBAC), multi-tenant setup — available as custom scope. Book a call.
ROI: Replaces $60–120K/year in custom agency retainers or fragmented integration SaaS subscriptions with $58,500 once. Source code yours forever. Pays back in <12 months.
Prefer to build it yourself? Buy the blueprint instead.
If you already have engineers (or Claude Code + your own time), we sell the MCP Dashboard Pipeline Blueprint — $497 one-time. It's the exact setup guide we ship to full-build clients — plus sample SQL query templates, refresh orchestration scripts, scheduling examples, and a 30-minute walkthrough call so your team doesn't get stuck. Typical delivery 5–7 business days after purchase. See all blueprints ↑
Optional managed retainers — choose if you don't have internal engineering support
You own the source code on day one and can have your internal team maintain it. If you don't have engineers, we offer optional retainers:
- Managed Refresh — $497/month: For Dashboard Pipeline clients. We run your data refresh on whatever schedule you pick (weekly, bi-weekly, monthly), handle the commit, and your dashboard auto-updates. Each refresh includes a schema-drift check — we flag any changes to your source data structure. Plus a quarterly data quality review. Best for teams who want the dashboard but don't want to manage scheduled jobs themselves.
- Maintenance Lite — $950/month: 24-hour response on issues, regular updates (as major MCP spec or client SDK changes ship) so your MCP keeps working as Claude, ChatGPT, and other AI tools evolve, security patches, uptime monitoring, quarterly review call. Best for Connector clients without internal engineers.
- Maintenance Standard — $2,500/month: 4-hour response on urgent issues, everything in Lite + we add 1 new AI action per quarter + monthly usage and performance report. Best for Suite or Platform clients.
- Maintenance Premium — $4,500/month: 2-hour response on urgent issues, dedicated Slack channel, everything in Standard + 1 new AI action per month + advisory and scoping help if you ever need to switch login providers (e.g., Okta to Auth0) — migration execution scoped and priced separately if needed. Best for mission-critical Platform deployments.
Included at every tier
- Free 60-min discovery call → written scope document within 48 hours
- Compatibility verified at delivery with every major AI assistant your team uses — Claude Desktop, Claude Code, ChatGPT (Apps SDK), Cursor, Continue, Cline
- Source code is yours on day one — no vendor lock-in, no escrow arrangements needed
- Runs in your cloud — we deploy to AWS, Google Cloud, Azure, Fly.io, or Railway (you own the infrastructure, we never hold your data). First deployment to an unfamiliar cloud may extend the timeline; we flag any risk on the kickoff call.
- Built to the latest industry standards with modern secure authentication (technical: MCP spec 2026-03-15 with OAuth 2.1 PKCE and Resource Indicators)
Common questions
Q: Can't I just buy a $1,000/month SaaS subscription that does this?
If your business runs on one tool, a $12,000/year subscription works fine. If your business runs on five tools that need to talk to each other — your billing platform + your CRM + your data warehouse + Slack + your custom admin panel — no SaaS exists that wraps all of them. We build it once, custom to YOUR specific stack, and you own the source code forever. Subscription = $60,000 over 5 years for generic features. Custom Connector = $14,500 once.
Q: What's the difference between MCP Dashboard Pipeline and MCP Connector?
Dashboard Pipeline ($4,500) delivers a URL where your team sees live numbers — data is pulled on schedule, committed as a static snapshot, deployed as a dashboard. Read-only, refreshed daily/weekly/monthly. Best when you want "show me the data" without your team logging into 5 different systems. MCP Connector ($14,500) is different — it connects your system live to Claude, ChatGPT, and Cursor so the AI can query AND make updates in real-time during conversations. Best when you want the AI to take action in your tools, not just display them. Most teams start with Dashboard Pipeline and upgrade — the $4,500 credits 100% toward Connector within 90 days.
Q: How is this different from Zapier or Make?
Zapier and Make ship pre-defined workflow automation — "when X happens, do Y" on a schedule. MCP is different. It gives Claude, ChatGPT, and Cursor live access to your tools so they can answer questions and take actions in real-time during conversations. Ask "show me yesterday's churn list and draft outreach for each customer" and Claude queries your billing system, reads the data, writes the emails — all in one chat. Zapier can't do that. It can only run pre-built workflows on triggers.
Q: Can't my engineering team just build this themselves?
You can. The MCP spec is public, the SDKs are free, and any senior Python engineer can ship a basic server in 1-2 weeks. We charge for production hardening: OAuth 2.1 compliance with the 2026-03-15 spec including Resource Indicators and PKCE, Streamable HTTP transport that doesn't break under concurrent load, MCP client compatibility testing across Claude Desktop / Claude Code / ChatGPT / Cursor / Continue / Cline, and pattern recognition from production MCP deployments — specifically the authentication traps that break most first-build attempts. Most internal teams underestimate auth complexity and ship something brittle. We've already debugged those issues.
Q: How do you prevent the AI from doing something bad with write access?
Every action the AI can take is explicitly defined in scoping — the decision set is bounded, not open-ended. Write operations can be gated behind human approval (example: "draft the email in Slack, wait for a thumbs-up before sending"). Anything outside the defined decision set escalates to a named human within one message hop. Every action is logged to an audit trail that's queryable and exportable. You decide what the AI can do, what needs approval, and what escalates — before we ship.
Q: What if Claude gets worse and I want to switch to ChatGPT or Cursor?
MCP is an open protocol, not a Claude-only feature. ChatGPT, Cursor, Continue, Cline, and most major AI assistants support it. Your MCP server works with all of them simultaneously, today. If Claude gets worse and ChatGPT gets better, you switch the AI assistant without rebuilding the integration. Your investment is in the connection layer, which is portable.
Q: What if Anthropic changes the MCP spec?
The MCP spec has had regular backward-compatible updates every 3-6 months since launch. Breaking changes get long deprecation windows. If you take the optional maintenance retainer ($950+/month), we keep your server spec-compliant. If you self-maintain, the source code is yours and any Python engineer can apply spec updates.
Need more — SSO, multi-tenant, or custom enterprise scope?
Enterprise SSO/SAML integration with your IdP (Okta, Azure AD, Auth0), RBAC, audit logging, multi-tenant architecture, and custom MCP builds are available. Book a 15-minute call to scope it →
Autonomous AI Agents
AI workers that take action across your tools — Jira, Asana, Linear, Salesforce, HubSpot, GitHub, Notion, Stripe, Intercom, Zendesk, and more. They live where your team works (Slack, Microsoft Teams, email, or a custom dashboard) and run 24/7 inside the rules you set.
A chatbot answers questions when asked. A workflow tool (Zapier, Make) runs pre-defined rules when triggered. An agent decides what to do on its own — based on goals you give it and rules you set. Think of an agent as a junior team member specialized in one job: triaging tickets, generating reports, monitoring data, drafting responses. Works 24/7. Never forgets context. Escalates to a human when it hits something outside its scope.
What agents actually do — real examples
- Ticket triage agent: When a Jira/Linear/Asana ticket comes in, the agent reads it, classifies it (bug / feature / support), routes it to the right team's Slack channel, tags the right human, and posts a one-line summary. Escalates anything ambiguous.
- Customer support draft agent: When a ticket lands in Intercom or Zendesk, the agent drafts a response based on past resolutions, posts it for human approval in Slack, and either ships on approval or escalates to a senior agent if the customer signal is unusual.
- Monday morning rollup agent: When Monday morning arrives, the agent pulls last week's metrics from Stripe, HubSpot, and Linear, drafts the executive update in the leadership Slack channel, and tags the CEO for review.
- Competitor intelligence agent: When a competitor changes pricing on their website, the agent detects the change, posts to the sales Slack channel with the diff, suggests a playbook response from your knowledge base, and opens a Linear ticket for marketing.
- Knowledge base agent: When a Slack thread reaches a key decision or answers a FAQ, the agent recognizes it, drafts a Notion knowledge base entry, posts a preview in-thread for the author to approve, and publishes on confirmation.
Start here: Discovery Sprint — $7,500 (1 week, fixed-price)
A 1-week strategic audit of your operations and AI opportunities. You receive a written deliverable:
- Operations audit (current state, pain points, time sinks)
- AI opportunity map ranked by ROI
- Integration architecture diagram
- Decision-set specification (what an agent could/should/shouldn't decide)
- Build-vs-buy analysis per opportunity (sometimes Zapier is enough, sometimes a hire is smarter — honest assessment)
- 90-day automation roadmap you can execute with or without us
- Fixed-price proposal for anything we recommend building
The $7,500 is credited toward any engagement we recommend — agent build, MCP server, content operations, or anything else from our service lines. We recommend starting here — it's how we make sure you're spending money on the right thing.
ROI: Avoid spending $25K-$95K on the wrong build. Worth the $7,500 even if you walk away — you keep the 90-day automation roadmap regardless.
Productized Pipelines — fixed scope, fast install
Four pre-scoped solutions to common B2B SaaS problems. Custom-built for your stack. Delivery timeline scoped on kickoff call. Source code is yours. Deploy to your cloud. You own everything.
Weekly Executive Rollup
$4,500 one-time
What changes
Reclaim 3-5 hours/week of leadership time. Decisions made Monday morning, not Wednesday.
- Pulls metrics from up to 5 of your tools (Stripe, HubSpot, Linear, Mixpanel, your data warehouse, etc.)
- Drafts leadership summary with LLM-generated narrative every Monday morning
- Delivered to Slack, Microsoft Teams, email, or custom dashboard — your choice
- Native Block Kit UI (rich formatting, not just text dumps)
- Custom routing (CEO sees one view, CFO sees another)
- Anomaly alerts with configurable thresholds ("your churn rate just doubled" style) — threshold baselines defined on kickoff
- PDF/email export option for board members
- Custom team branding
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Typical payback <2 months. ~$100K/year of executive time recovered.
Founder Knowledge Base
$7,500 one-time
What changes
Onboard new hires 50% faster. Reclaim 5+ hours/week of founder context-switching ("what did we decide about X?").
- Vector database (Pinecone, Weaviate, Qdrant, or your preferred provider) ingesting Slack threads, Notion docs, Loom transcripts, Google Drive, Confluence — up to 5 sources
- Queryable through Claude as "company memory" — ask anything that's ever been said or written
- Query interface in Slack, Microsoft Teams, email, or custom web dashboard
- Daily incremental ingest with summary memory
- Permission scoping based on source system ACLs available as custom scope
- Auto-tags + categorizes new entries
- Custom branding for your team
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Typical payback <2 months. ~$125K/year of founder time recovered. New hires ramp faster by querying "company memory" directly instead of interrupting founders for context.
Customer Signal Pipeline
$4,500 one-time
What changes
Catch churn signals 14-30 days earlier. Identify expansion opportunities 2-3x faster.
- Pulls signals from up to 5 sources: Intercom, Zendesk, product telemetry, Stripe, NPS surveys, etc.
- Surfaces churn risk, expansion opportunity, NPS shifts in real time
- Routes to the right CSM in Slack, Microsoft Teams, email, or custom dashboard with playbook recommendations
- LLM-generated narrative ("Account X showed signal Y — recommend action Z")
- Anomaly alerts when key accounts flip red
- Native Block Kit UI with action buttons
- Custom routing rules (different signals go to different teams)
- Custom team branding
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Earlier signal detection typically enables CSMs to intervene in time to save accounts that would otherwise churn silently.
Competitive Intel Activator
$3,500 one-time
What changes
Respond to competitor moves in hours instead of weeks. Reduce competitor-loss deals 20-40%.
- Wraps your existing competitive intel tool (Crayon, Klue, Kompyte, SEMrush) via MCP
- Posts competitor changes to Slack, Microsoft Teams, email, or dashboard with diff + AI-generated playbook response ("Competitor raised price → here's the talk track for affected accounts")
- Triggers Linear/Jira tickets for marketing follow-up
- You keep your existing tool — we make it actually useful
- Native Block Kit UI with action buttons
- Custom routing (different signal types go to different team channels)
- Delivery timeline scoped on kickoff call. 90-day post-launch overlap included
ROI: Faster competitor response enables better deal defense — your sales team reacts in hours, not weeks, to pricing and positioning changes.
Optional managed retainer for any pipeline: $1,250/month — schema drift handling (when Stripe/HubSpot/Linear change their APIs), prompt iteration, source additions, anomaly investigation, plus 1 new metric or signal added per quarter.
Custom Agent Builds — your specific workflow, your decision rules
When the productized pipelines don't fit, we build agents from scratch.
How we scope Custom Agent Builds: Each engagement is bespoke. Pricing and timeline are finalized on the kickoff call based on integration count, decision-tree complexity, and (for Suite and Platform) multi-agent coordination requirements. We flag complexity transparently. If you need standard automation, start with Productized Pipelines or Single Agent above.
Single Agent
$24,500 one-time
What changes
Automates one repeatable job previously assigned to a junior or mid-level role. 24/7 coverage. Never sleeps, never forgets.
- 1 agent, 1 named workflow (e.g., "Triage inbound Jira tickets to the right team")
- 2 integrations (typically your team chat + 1 system of record like Jira, Notion, GitHub, HubSpot, Salesforce, Intercom, or Zendesk)
- Lives in Slack, Microsoft Teams, email, or custom dashboard — your choice
- Bounded decision set defined in scoping (e.g., "auto-route X to team Y; draft a reply for human approval; escalate anything outside the playbook")
- Always escalates to a named human within 1 message hop on anything outside scope
- 30-day rolling memory per user/channel
- Audit log + structured event log
- Read/write permissions scoped to 1 workspace
- Production-ready timeline scoped on kickoff call based on integration complexity and decision-set scope
- 90-day post-launch overlap included (we monitor + tune; no extra charge)
ROI: Automation comparable to the fully-loaded cost of a junior FTE (~$80K/year). Payback in ~4 months.
Specialist Agent
$42,500 one-time
What changes
Replace 1 senior FTE in a specific function. Scales without burnout, vacation, or turnover.
- 1 deep-domain agent built for ONE function (Support, RevOps, Engineering, Marketing, etc.)
- 5+ integrations across that department's stack
- ~20-30 bounded decisions/actions specific to the domain
- Lives where the team works (Slack, Teams, email, dashboard)
- Long-term department knowledge base + 90-day operational memory
- Domain-specific decision tree with multi-step reasoning
- Tiered escalation (handles routine, escalates edge cases)
- Per-action audit log + weekly summary report
- Production-ready timeline scoped on kickoff call based on integration count, domain complexity, and decision-tree depth
- 90-day post-launch overlap included
ROI: Automation comparable to the fully-loaded cost of a senior domain-specialist role (~$150K/year). Payback in ~4 months.
Agent Suite
$52,500 one-time
What changes
Replace 3 coordinated FTEs (e.g., a small support team). One pipeline, three roles, shared context.
- 3 coordinated agents — typically a manager agent + 2 specialists (e.g., Triage → Researcher → Drafter)
- 4 integrations across the 3 agents
- Shared memory: vector store + summary memory + cross-agent handoff with full thread context
- Each agent has its own bounded decision set; manager agent re-routes between specialists
- Tiered escalation — specialist asks manager, manager escalates to human only if neither can resolve
- Cross-agent trace + per-agent action log
- Per-agent role-based credential scoping
- Production-ready timeline scoped on kickoff call based on agent coordination complexity, integration count, and shared-memory architecture requirements
- 90-day post-launch overlap included
ROI: Automation comparable to the fully-loaded cost of a 3-person coordinated team (~$300K/year). Payback in ~2 months.
Agent Platform
$95,000 one-time
What changes
Replace a department of 4-6 people. Shared platform, governance, audit trail, multi-team coverage.
- 4+ agents, multi-department, shared platform
- 6+ integrations with role-scoped credentials per agent
- Org-wide vector store + per-agent operational memory + decay/pruning policy
- Each agent owns its decision domain; platform-level governance/policy layer
- Department-routed escalation (humans only see escalations relevant to their team)
- Platform-wide event store, queryable, exportable
- Admin dashboard template (Streamlit or your preferred framework): permission management, audit log viewer, per-agent analytics — built during engagement
- Production-ready timeline scoped on kickoff call based on multi-department scope, governance requirements, and multi-team UAT complexity
- 90-day post-launch overlap included
- SOC2 / SSO / RBAC / multi-tenant available as custom scope — book a call
ROI: Automation comparable to the fully-loaded cost of a 4–6 person department (~$500–800K/year). Payback in 2–3 months.
Optional managed retainers — choose if you don't have internal engineering support
You own the source code on day one. Most clients hand off to their internal team after the 90-day overlap. If you don't have engineers, we offer optional retainers — agents need MORE upkeep than static integrations because of memory drift, prompt regression, and model updates:
- Single Agent retainer — $1,750/month: Memory pruning, dependency patches, integration drift fixes, model migration support, escalation log review, 1 new bounded action per month, monthly performance report.
- Specialist Agent retainer — $2,500/month: All of above + bi-weekly prompt regression testing + 2 new actions per month + monthly business review.
- Suite retainer — $3,500/month: All of above + cross-agent coordination tuning + 3 new actions per month + on-call SLA (24-hr critical response).
- Platform retainer — $5,500/month: All of above + governance/policy layer maintenance + quarterly business review with leadership + dedicated Slack channel + 4-hr critical SLA.
Included at every tier
- Free 60-min discovery call before the paid Discovery Sprint
- Source code is yours on day one — no lock-in, no escrow needed
- Bring-your-own-cloud deployment — we deploy to your AWS, GCP, or Azure
- "Bring your own model" option available on request — scoped during discovery (requires a model-agnostic framework like LangGraph or CrewAI rather than the Claude-native Agent SDK)
- 90-day post-launch overlap (we monitor + tune at no incremental retainer charge)
- Per-agent runbook delivered as artifact — what the agent does, decision boundaries, escalation rules, recovery procedures
- Security posture document for your security review
Common questions
Q: How is this different from Zapier or Make?
Zapier and Make run pre-defined workflows on triggers — "when X happens, do Y." Agents make decisions inside scoped goals — "watch this channel, classify what comes in, take the right action from this menu, escalate anything you're not sure about." Workflow tools execute. Agents reason.
Q: How is this different from Lindy, Relevance AI, or Stack AI?
Those are DIY agent-builder platforms — you assemble the agent yourself in their UI. Great for simple, generic agents. Hit a wall the moment you need 5+ custom integrations, complex multi-step reasoning, or anything outside their template library. We build custom agents tailored to YOUR specific tools, decisions, and escalation rules. You own the source code.
Q: How is this different from Sierra, Decagon, or Intercom Fin?
Those are enterprise customer service platforms — $150,000-$400,000+ per year, sold to Fortune 1000 with multi-week procurement cycles. They focus exclusively on customer-facing chat. We focus on internal operations (Jira routing, PR triage, executive rollups, knowledge base maintenance), priced for B2B SaaS companies who need real autonomous workers without enterprise contracts.
Q: What about Slack's native AI agents (Agentforce)?
Slack/Salesforce Agentforce is improving and may eventually cover the basics. Our advantage: we build agents tailored to YOUR specific workflows, not the generic templates a platform offers. We also work outside Slack — Microsoft Teams, email, Discord, custom dashboards. And our agents take action in tools Agentforce doesn't natively touch.
Q: How is this different from your MCP Connector?
An MCP Connector exposes your systems so a human using Claude, ChatGPT, or Cursor can query and update them directly — the human makes every decision in real time. An Agent uses MCP (or direct APIs) to make bounded decisions autonomously based on rules you set — no human in the loop for routine actions, humans stay in the loop only for exceptions you define. MCP Connector = give a person tools. Agent = give a system a bounded job. Many agents use MCP Connectors under the hood, so your MCP investment is reusable if you later build agents.
Q: What happens when the agent makes a mistake?
Every action the agent can take is bounded in scoping — it physically cannot take actions outside that defined set. Write operations can be gated behind human approval (example: "draft the email, wait for Slack thumbs-up before sending"). Anything outside the defined scope escalates to a named human within one message hop. Every action is logged to an audit trail. If a mistake happens inside the bounded set, you see exactly what the agent did and can adjust the decision rules.
Q: How do you prevent hallucinated actions?
Agents only call real tools with real data — they do not hallucinate actions because they cannot. The agent either has permission to call a specific tool (via MCP or direct API integration) or it doesn't. If it tries to call something unauthorized, the call fails and the attempt escalates. LLM hallucination risk still exists at the text-generation layer (a drafted email might contain an incorrect claim), which is why write operations and outbound communications are gated behind human approval when the stakes warrant it.
Q: Can I audit exactly what the agent did?
Yes. Every action is logged with timestamps, inputs, the decision made, outputs, and escalation events. The audit log is queryable (typically via Slack slash commands or a web UI) and exportable to CSV or JSON for compliance reviews. You can always answer "what did the agent do on Tuesday" with precision.
Q: What if my engineering team wants to build this themselves?
They can. CrewAI, LangGraph, and the Anthropic SDK are public. Most internal teams underestimate three things: (1) memory and prompt-regression management as the agent ages, (2) escalation routing that doesn't drown humans in noise, (3) audit logging at the granularity security teams require. We sell the pattern recognition and production hardening for these specific failure modes, not the boilerplate code.
Need SOC2, SSO, multi-tenant, or custom enterprise scope?
Enterprise SSO/SAML integration with your IdP (Okta, Azure AD, Auth0), RBAC, audit logging for compliance review, multi-tenant architecture, and custom agent builds beyond the 4-tier ladder are available. Book a 15-minute call to scope it →
Advisory
Strategic guidance from a senior operator who's built this. Get clarity on your AI roadmap without committing to a full DFY engagement.
"I don't sell AI strategy decks. I ship the playbook I've already used to build my own AI pipelines — adapted to your business, delivered in days not quarters, priced so you don't need a board approval to hire me."
Three options: a one-day audit if you want a sanity check, a 90-day roadmap if you want a full plan, or quarterly fractional advisory if you want an ongoing thinking partner. Every Advisory engagement produces written deliverables your team can act on with or without us.
What we advise on
Senior expertise across the full AI/content/automation stack — drawn from running production systems, not theory:
- AI content pipeline architecture — HeyGen, Pikzels, Claude Code, voice cloning, multi-channel distribution. When to build, when to buy.
- MCP server architecture — when to wrap your own tools vs use generic SaaS. Auth patterns. Spec compliance. Vendor lock-in mitigation.
- Autonomous agent architecture patterns — decision boundaries, escalation rules, memory architecture, audit trails. Framework evaluation (LangGraph, CrewAI, Claude Agent SDK) and safe-deployment patterns drawn from production research and adjacent systems work.
- AI tooling evaluation — is that $30K/year SaaS actually worth it? Which tools to keep, kill, or build around.
- Multi-channel content strategy — YouTube + Shorts + LinkedIn + blog + Reels + TikTok + X from one input. What scales, what doesn't.
- Solo operator economics — how to ship without hiring a team. Where AI replaces headcount, where it doesn't.
- AI ROI measurement — what to track, what's vanity. How to defend AI investments to your board.
- Quality gates + anti-detection — how to ship AI content that doesn't read as AI. Voice match, fact check, anti-repetition.
- Vendor lock-in risk assessment — which platforms are safe long-term, which are extraction traps.
Pipeline Audit
$3,500 one-time
What changes
Avoid spending $50K+ on the wrong build. Get a written sanity check on your current AI/content/automation infrastructure in 5 days.
You receive a 10-15 page audit document with these exact sections:
- Current state map — every tool you currently pay for, what it does, what it doesn't, where it overlaps
- Time sink audit — top 10 manual processes burning your team's hours every week, with hour estimates
- AI opportunity map — every workflow where AI could realistically help, ranked by ROI
- Build-vs-buy analysis per opportunity — sometimes Zapier is enough, sometimes you should hire, sometimes you should build
- Tooling waste assessment — SaaS subscriptions you're paying for but underusing
- "Don't build this" list — what AI is wrong for in your specific business right now
- 12-month prioritized roadmap with phase + cost estimates
Plus: 2-3 stakeholder interviews + 60-min walkthrough call. Delivered within 5 business days.
ROI: ~1% the cost of a typical wrong build. Most buyers save multiples of the $3,500 fee by killing one misaligned SaaS subscription or avoiding one wrong $40K+ build based on audit findings.
90-Day Strategy
$5,500 one-time
What changes
Get a custom 90-day execution roadmap your team can run. Implementable with us, with internal engineers, or with any other vendor.
Includes everything in Pipeline Audit, PLUS a 25-30 page playbook:
- Week-by-week 12-week plan — what gets built, what gets bought, what gets killed, in what order
- Tool selection matrix per phase — specific products evaluated against your stack
- Cost projections per phase — what each phase costs in tooling + labor
- Team allocation — who on your team owns what, including new hires if needed
- Success metrics per phase — what to measure to know it's working
- Risk + dependency matrix — what could break each phase, and how to de-risk it
- Decision points — explicit "stop and reassess" gates at week 4, 8, and 12
- Vendor shortlist + intro emails if you're outsourcing pieces
Plus: 2-hour strategy session with stakeholders + 30 days of email support post-delivery. Delivered within 10 business days.
ROI: Get 6 months of in-house strategy work compressed into 90 days. Saves $50K+ of internal planning + opportunity cost of inaction.
Quarterly Fractional
$7,500 per quarter
What changes
Senior AI/automation strategist on retainer at fractional cost. Thinking partner for your roadmap without the $250K+ full-time hire.
What a quarter looks like:
- Quarter kickoff (2 hours): Review last quarter's wins + losses, plan next quarter's priorities, refresh the 90-day playbook
- Mid-quarter check-in (1 hour): Course-correct, unblock active builds, evaluate new tooling that emerged
- Quarter retrospective (1 hour): What worked, what didn't, what to keep doing
- Updated playbook delivered every quarter reflecting what changed
- 2 hours of ad-hoc Slack/email access per quarter (architecture reviews, vendor evaluations, "should we do X" questions)
- First-look access to new playbooks, frameworks, and competitive intel as we publish them
- Vendor evaluations on demand — "is this $30K/year tool worth it?" answered with data
Renews quarterly. Cancel anytime with 30 days notice. No multi-quarter commitment required.
ROI: ~$30K/year vs $250-300K/year for a full-time CTO/CSO. ~10x cost savings, without losing strategic depth on the specific questions you actually need answered.
Ad-hoc Strategy Block — $1,400
Available to active clients only (Quarterly Fractional retainer or active DFY engagement). 4-hour block at $350/hour equivalent. Use for one-off architecture reviews, vendor evaluations, or strategic questions outside your retainer scope. Booked as needed, no commitment.
Our guarantees
- 14-day satisfaction guarantee: If the audit doesn't surface at least 3 actionable opportunities you weren't already pursuing, full refund — no questions.
- 30-day stack-fit revision: Any recommendation that doesn't apply to your specific stack, we'll revise free within 30 days.
- All deliverables yours forever: Use them with us, with another vendor, or in-house. No content lockdown, no IP grab.
- Quarterly Fractional cancellation: Cancel anytime with 30 days notice. No multi-quarter commitment.
Common questions
Q: How is this different from the Discovery Sprint in the AI Agents service?
The Discovery Sprint ($7,500) is specifically scoped for an upcoming agent build — it produces a fixed-price proposal. Pipeline Audit ($3,500) is broader: a sanity check on your current infrastructure across content, agents, and automation, with no build commitment expected. If you know you want to build an agent, start with Discovery Sprint. If you want a strategic view first, start with Pipeline Audit.
Q: Why pay $3,500 for a one-day audit when consultants charge $500/hour?
You get a written deliverable at the end, not just hours of conversation. The audit document is something your team can act on long after the call ends — and includes a prioritized list of opportunities ranked by ROI, build-vs-buy analysis per opportunity, and tooling recommendations. Senior operator hourly rates run $300-500/hr, so this is roughly 7-12 hours of senior thinking, packaged.
Q: What if I just want to ask a one-off question?
Book the free 60-minute discovery call (it's free for everyone). If your question is complex enough to require more, we'll scope a Pipeline Audit. We don't sell hourly consultations.
Q: What kind of companies does Advisory fit?
B2B SaaS founders/leadership who want strategic guidance before committing to a $25K+ build. Or growing companies who need an ongoing AI strategist but don't have budget for full-time leadership. Companies under $1M ARR are often better served by free content; companies over $20M ARR usually want the full DFY engagements, not advisory.
Need ongoing advisory beyond quarterly?
For companies needing more than quarterly engagement, custom monthly or weekly fractional advisory is available. Book a 15-minute call to scope it →