The AI capability stack behind AY Automate

Drives a dozen coding agents in parallel across isolated panes, each with its own task, lock, and commit history.

Pulls real ranking, backlink, and SERP data and turns it into a prioritized fix list scored by traffic and effort.

Breaks a large build into dependency-ordered tasks and routes each to the right specialized agent automatically.

Restructures pages with answer-first sections, FAQ and entity schema, and an llms.txt so AI answer engines can quote them by name.

Designs multi-touch email and social sequences with a distinct angle at every step, tuned to the buyer's seniority.

Forces an agent to prove what it changed actually works before marking a task complete, instead of trusting its own report.

Finds pages ranking 5–15 with real impressions and rewrites titles, structure, and schema to move them up and win more clicks.

Builds production-ready, directly importable n8n workflows from a plain-language automation description.

Chains multiple data providers so a missing email or phone number gets found by the next source in line automatically.

Maps every page into topic clusters and wires contextual links so authority flows from high-traffic pages into money pages.

Generates new pages and components that reuse a codebase's existing design tokens instead of inventing a new look each time.

Turns kickoff-call notes into a full onboarding packet: scope, access checklist, and week-one plan, same day.

Pauses long-running work mid-context and resumes it later with full state intact, so no session ever loses progress.

Reviews a pull request for correctness, security, and style before a human ever opens the diff.

Runs every draft through a forbidden-word and forbidden-pattern scrub so published copy reads like a person wrote it.

Scripts fan-out, pipeline, and adversarial-review patterns across agents so multi-step work runs the same way every time.

Screenshots the running output, reads it back into context, and iterates until the visual result actually matches the spec.

Reads inbound replies and sorts them into interest tiers with a suggested next action, so nothing sits unread in an inbox.

Runs a structured pass over a codebase for common vulnerability classes and supply-chain risk.

Spawns skeptic agents whose only job is to refute a finding, so plausible-but-wrong conclusions get killed before they ship.

Flags funding, hiring, and tech-stack change events and turns each into a timing rationale for outreach.

Wires CRM, calendar, and messaging tools together into one automated flow instead of a manual copy-paste routine.

Keeps narrow, high-context subagents on standby for search, security review, and prompt work, and routes to them by task shape.

Buckets inbound and outbound leads into hot/warm/cold with an auditable, evidence-backed reason for every tier.

Drives a real browser against a running app to verify flows work end to end, not just that the build succeeded.

Writes first-touch and follow-up copy calibrated to the exact seniority of the recipient, from IC to VP.

Compiles delivery progress, blockers, and next steps into a branded status report on a fixed cadence.

Anchors bottom-funnel content angles to a dated, citable news event so the piece targets people already holding a budget.

Ranks targets by which signals actually correlate with a closed deal historically, instead of chasing whichever signal is loudest that week.

Builds well-designed MCP servers that expose a new tool or data source to any agent that needs it.

Watches long-running agent jobs from a supervising process and escalates only when human judgment is actually needed.

Converts a raw call recording into a structured report with decisions, owners, and follow-ups extracted automatically.

Runs a fixed checklist against sender authentication, list quality, and volume thresholds before any campaign is allowed to launch.

Builds a fact-led competitive brief from firmographics, hiring shifts, and recent product moves in minutes, not days.

Runs every deploy through a fixed checklist with a rollback plan attached before anything goes to production.

Sweeps published articles for stale facts, pricing, and version numbers, and updates them without touching the ranking URL.

Runs personalized ad campaigns against individual target accounts, from one-to-one to one-to-many, synced to the same list an outbound sequence is already hitting.

Builds a verified company profile — funding, tech stack, headcount, recent signals — from a name or domain alone.

Reviews a shipped UI against a taste framework and applies the fixes itself instead of just listing complaints.

Produces a time-blocked, sub-500-word brief with tailored discovery questions before every call.

Maps every decision-maker, influencer, and blocker on a target account, with the coverage gap called out explicitly instead of assumed.

Puts a recurring automation on a cron schedule with logging and failure alerts, so it runs unattended and safely.

Sweeps 20+ free trend sources daily and converts what's moving into ranked, ready-to-brief content opportunities.

Extracts the profile of accounts that actually closed and searches for more companies like them instead of targeting off a guessed ICP.

Watches how a process actually gets done and documents it as a repeatable standard operating procedure.

Builds assignment logic and SLA enforcement so a qualified lead is never left unclaimed in a shared queue.

Prevents two agents from colliding on the same files using lightweight lock files instead of a heavyweight message bus.

Tracks past champions and closed-won contacts as they move to new companies and resurfaces them as a fresh opportunity automatically.

Turns a fuzzy sense of 'who we sell to' into a scored, tiered targeting matrix the whole team applies the same way.

Diagnoses broken n8n workflows from an error message or screenshot and returns the exact fix.

Builds structured 'best X tools' and head-to-head comparison posts against a repeatable evidence and formatting standard.

Writes the connection-accepted follow-up sequence for LinkedIn outreach, calibrated to the platform's conversational tone.

Scores account-level engagement across ads, email, and outreach against a defined threshold before it gets handed to sales.

Builds and keeps competitor battlecards current with positioning, strengths, weaknesses, and talk tracks a rep can use live on a call.

Builds forecast models from live pipeline-stage data and flags a number as optimistic before it reaches leadership.

Sorts active accounts onto a tiered ladder using intent signals and deal-size potential, so reps know exactly where to spend time first.

Drafts scoped proposals from a discovery conversation, priced and structured to the engagement type.

Confirms title, seniority, and tenure on a contact before it ever reaches a sequence, cutting bounce and misfire rates.

Extracts what went wrong and what worked at the end of every session and feeds it back into future runs.

Rewrites titles and descriptions around the query a page actually ranks for, then re-crawls to confirm the change stuck.

Watches job postings at target accounts as a standing buying signal and only triggers outreach once the signal is verified, not on every listing.

Scans live accounts for expansion or churn risk signals and drafts the recommended next action per account.

Produces self-contained, on-brand infographics and social carousels straight from a topic outline.

Pins package versions to exact resolved commits and scans for known indicators of a compromised supply chain.

Replaces generic 'book a call' asks with low-friction value offers calibrated to sparks genuine replies.

Synthesizes reviews, forums, and public data into a structured market brief with pain points and urgency triggers.

Runs standing deduplication and validation passes across CRM records instead of a once-a-year cleanup project.

Finds the shortest real connection path into a target account before defaulting to a cold approach.

Publishes client-ready reports and proposals behind a password on a dedicated docs surface, with instant updates.

Runs a standing weekly watch on competitor pricing, positioning, hiring, and news, with sourced links attached to every finding.

Catches environment and credential issues before an agent starts building, instead of failing mid-task.

Consolidates email, Slack, and LinkedIn into one prioritized action queue instead of five open tabs and a missed reply.

Reverse-engineers a sample of writing into a fidelity report an agent can follow to reproduce that voice reliably.

Mines sales call transcripts for goals, objections, and verbatims and rolls them into a structured persona report.

Stands up approval routing, discount governance, and quote workflows so a deal never stalls waiting on a human bottleneck.

Scores reply rate, open rate, and acceptance rate against real outbound benchmarks instead of guessing what's normal.

Designs the underlying data model and identity-resolution layer that every other go-to-market automation depends on.

Moves accounts through a defined stage ladder automatically based on the signals actually observed, not a rep's gut call.

Writes structured handoff notes between engineers on the same engagement so context never lives in one person's head.

Turns a script or source clip into edited short-form video content ready for publishing.

Diagnoses where deals actually stall by stage and applies the specific unstick tactic for that stage instead of a generic push.

Runs an intake, searches for matching candidates, and returns a ranked shortlist with per-candidate reasoning.

Produces a one-page account brief built for a QBR or deal review — the kind that actually gets read, not skimmed and shelved.

Scores duplicate records, proposes a field-level merge plan, and flags invalid rows before they poison a CRM.

Audits the automation platforms and workspaces themselves for configuration drift and gaps before they cause a bigger failure.

Keeps every workstream tied to a written, agreed definition of done so scope creep gets caught early.

Builds polished, presentation-ready decks from a source document — sales, QBR, and case-study formats included.

Records a multi-step product walkthrough as a clean, shareable GIF or clip without manual screen-recording setup.

Infers a target company's reporting structure from public role data and flags who to actually talk to.

Turns a written process or org structure into a clean diagram, no manual whiteboard tool required.

Builds GTM compensation plans and quota structures benchmarked against comparable data instead of a guess carried over from last year.

Keeps a file-based kanban board as the single source of truth for what's queued, in progress, and shipped.

Pulls real, hotlink-safe brand logos and assets into decks and pages instead of hallucinating placeholder art.