AI AGENTS SHIP IN HOURS. YOUR DIAGNOSIS TAKES WEEKS.
Cursor codes. Claude Code merges PRs. Devin runs cycles. By the time the retro lands, you have shipped three cycles' worth of decisions that need re-evaluating.
Agentic Product Operations
Value lands minute one.
Then it compounds.
Your AI Product Operations Coach. The first read lands before your coffee cools. Every cycle after, it gets sharper.
Decision intelligence for product teams in the agentic era.
Sign up. Paste your URL. 60 seconds later, DAC has read 13 sources, scored you across 24 dimensions, and named the one gap worth closing this cycle. Minute one, you have a coach who already knows your context.
Built for the agentic era. Reads 50+ tools your team already uses (Linear, Slack, GitHub, Cursor, Claude Code, more) over MCP.
Free to start. Sign up in 60 seconds.
What lands in your account before your coffee cools.
The diagnosis lag
Your dev cycles compress 10x.
Your diagnosis still takes weeks.
AI agents ship in hours. The signals that tell you what worked and what to fix next are scattered across 50+ tools. By the time you connect the dots, you have shipped three cycles of decisions that need revisiting.
YOUR DASHBOARDS SHOW METRICS, NOT MOVES.
Adoption rates. Cycle times. Error counts. None of them tell you what to do next.
HALF YOUR OPERATING SIGNAL ISN’T IN ANY DASHBOARD.
Decisions live in Slack threads. Specs live in Linear comments. Roadmap shifts live in calls. The pattern that explains the metric is scattered across 50+ tools.
YOUR AGENTS CAN BUILD. THEY DON’T KNOW YOUR CONTEXT.
Cursor codes. Claude Code ships PRs. Devin runs cycles. Lindy runs ops. None of them know what your product actually needs at this stage.
How DAC compounds
The compounding curve.
Connect once. Re-reads weekly. Each cycle adds signal, sharpens the score, and tightens the next coaching move. The longer DAC watches, the harder it is to replace.
Minute 1
First read lands. Composite score, stage, named gap.
You connect a URL. DAC returns the diagnosis before your coffee cools.
Week 1
First cycle review. Pattern named. First coaching loop closed.
DAC has watched a full cycle. The diagnosis sharpens against real signals you shipped.
Month 1
First cycle-over-cycle delta. Predictions get sharper.
Four cycles of comparable data. DAC starts predicting outcomes, not just describing them.
Quarter 1
Trajectory locked. Confidence intervals tighten.
Enough history to forecast where the next cycle lands. DAC publicly disagrees when the team trends off course.
Ongoing
Re-reads weekly. The coaching compounds.
Every cycle adds signal. The score gets more accurate, the moves get more leverage, the coach gets sharper.
Connect once. Re-reads weekly. The coaching compounds.
The substrate
AI-native. Built for the agentic era.
Not a dashboard with an AI sidebar. DAC is built on the same protocol your agents speak (MCP), reads the same tools they ship into, and writes coaching back to where decisions get made. The substrate is the moat.
DAC SPEAKS MCP.
Connect DAC to any agent that supports the Model Context Protocol. Cursor. Claude Code. Devin. Lindy. Anthropic Apps. Your agents get your product context, not generic web knowledge.
DAC LIVES IN YOUR STACK.
GitHub, Linear, Slack, Figma, Notion, PostHog, Sentry. 50+ OAuth integrations. Your existing flow, sharper.
DAC PUSHES, NOT JUST PULLS.
Most tools watch and report. DAC reads, decides, then writes back. Linear tickets get coaching comments. Slack threads get the move. Cursor gets the spec.
DAC RE-READS WEEKLY.
The agentic era's defining feature is that the conditions move. Models update. Best practice stales fast. DAC re-reads continuously and adjusts the coaching.
How DAC talks back
Coaching that renders,
not just streams.
DAC doesn't return a wall of prose. Every response carries typed primitives (the named pattern, the one move, the trajectory) so the takeaway is the visual, not the paragraph you'd skim past.
The chat that produced the ticket below. One click on the third followup pushes it into Linear.
Intelligent backlog
Tickets that already
know what to do next.
Monday morning. You open Linear and the work is already scoped. DAC posts a named diagnosis and three next moves as the first comment, each tagged to the dimension it touches.
A real coaching comment, rendered in our chrome, pushed into Linear when connected.
The anchors
What you're not buying.
VS AN EXECUTIVE COACH$1,500/month
A leadership coach who can't see what your team shipped. DAC sees the work and coaches against the actual evidence.
VS A REFORGE OR LENNY+ SUBSCRIPTION$500/month
Generic best practice, on-demand. DAC is best practice that knows what your product specifically needs at this stage.
VS HIRING A HEAD OF PRODUCT OPS$250K + equity
The role you can't justify yet. DAC fills the function while you scale to it.
Pricing
Start free. Upgrade when
the insight is worth keeping.
Every tier reads all three frameworks. The line between tiers is how often you score, who sees the coaching, and how deep the integrations go.
3 scores/month across all three frameworks. 7-day reverse trial of the full ◆ DAC-intelligence layer on signup.
Start freeUnlimited scoring. Coaching. Tension narratives. All overlays. Board report.
Start Pro25 products. 10 seats. Integrations. API. Slack alerts. Automation rules.
Start BusinessSSO. Portfolio view. Webhooks. Unlimited seats. Dedicated support.
Contact salesHire a coach who keeps up.
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