Browse blueprints

An AI support agent that grounds in your KB and CRM, then resolves, drafts, routes, or escalates — with confidence thresholds, refund caps, and human review.

A refund and returns agent that checks eligibility against policy, approves within caps, detects abuse, and escalates out-of-policy and disputed cases to humans.

A sales-research agent that builds a cited account brief — firmographics, tech stack, triggers, key people — flags stale data, and never fabricates contacts or triggers.

An inbound-lead agent that qualifies and scores leads against your ICP from real data, routes hot ones to sales, and never fabricates firmographics or intent.

A content-repurposing agent that turns one source into posts, emails, and threads while preserving its facts and brand voice — never fabricating stats, quotes, or claims.

A marketing agent that builds a structured campaign brief from your inputs, flags assumptions and missing data, and never fabricates audience stats or guarantees results.

An SEO brief agent that builds content briefs from real SERP analysis — intent, structure, subtopics, questions — without fabricating metrics or promising rankings.

An SEO agent that clusters your keywords into topic groups and maps intent, never fabricates search metrics, and never guarantees rankings.

A social agent that drafts on-brand posts from your brief, never auto-posts, avoids fabricated claims, and flags sensitive topics and required disclosures for review.

A community triage agent that routes and answers incoming questions from your knowledge base, flags duplicates, and sends spam, abuse, and safety issues to moderators.

A catalog agent that enriches product descriptions, attributes, and categories from your source data, flags missing specs for review, and never fabricates claims.

An e-commerce support agent that verifies the customer, answers order questions, processes returns and refunds within policy caps, and escalates disputes.

An on-call SRE agent: correlates alerts with metrics, logs, and recent deploys, proposes safe mitigations, drafts status updates, escalates SEV1 — with approval gates.

An alert-tuning agent that scores alerts by actionability, dedupes, and time-box-suppresses proven noise — never silencing an alert tied to a real incident.

An evidence-based code review agent for real PRs: security, correctness, concurrency, performance — with file:line findings, risk scores, and a human-escalation gate.

An AI bug-fix agent: reproduces an issue, finds root cause, writes a minimal fix plus tests, and opens a focused draft PR — sandboxed, small-diff, human-gated.

A test-case agent that turns requirements into happy-path, edge, and negative cases with steps and expected results, flagging ambiguous specs instead of guessing.

A flaky-test triage agent that re-runs failures in isolation, uses history to separate flakes from real regressions, and quarantines proven flakes. Never masks a bug.

A schema-grounded analytics agent that turns plain-English questions into safe, read-only SQL — cost-guarded, PII-aware, and clarifying ambiguity instead of guessing.

An analytics agent that confirms a metric anomaly is real, localizes it by segment, and ranks evidence-backed hypotheses — correlation vs. causation, data-quality aware.

A literature-synthesis agent that reviews your sources, cites every claim, weighs evidence strength, surfaces conflicts, and never fabricates findings or citations.

A competitive-intel agent that builds a cited digest of competitor moves from public sources, separates fact from rumor, and never fabricates or uses non-public data.

An invoice-extraction agent that parses invoices into validated JSON with per-field confidence, validates totals, and flags illegible or mismatched fields for review.

A form-extraction agent that turns documents into schema-valid JSON, scores confidence per field, and flags illegible or missing fields instead of guessing.

A SOC tier-1 agent that enriches and correlates alerts, scores severity with MITRE mapping, and recommends contain, dismiss, or escalate — never auto-containing blindly.

A phishing-triage agent that enriches reported emails, sandbox-detonates indicators, scopes campaigns, and quarantines, blocks, or escalates BEC — approval-gated.

A reconciliation agent that matches bank and ledger transactions, flags unmatched items and discrepancies for review, and never force-matches or auto-adjusts the books.

An expense-audit agent that checks each line against policy, flags out-of-policy items, duplicates, and fraud signals, then approves, holds, or escalates.

A resume-screening agent that scores only job-relevant evidence, ignores protected attributes, cites every finding, and routes the decision to a human recruiter.

An interview-summary agent that turns notes into evidence-based feedback against role criteria, screens out biased factors, and never makes the hiring decision.

An onboarding agent that answers new-hire questions from your company docs with citations, tracks the checklist, and escalates HR-sensitive questions to humans.

A policy Q&A agent that answers employee questions only from the official handbook with citations, flags what isn't covered, and routes sensitive HR matters to a human.

An access-request agent that checks role policy and separation-of-duties, auto-provisions low-risk access, and escalates privileged or sensitive requests.

An IT helpdesk agent that resolves common tickets from your runbooks, verifies identity for sensitive actions, and escalates security incidents and privileged access.

A contract-review agent: reads clause by clause against your playbook, flags risky and missing terms with severity, and proposes fallback language. Not legal advice.

An NDA triage agent that extracts key terms, flags non-standard and risky clauses against your playbook, and recommends lawyer review without giving legal sign-off.

A compliance agent that tests internal controls against real evidence, flags failures and missing evidence, and never marks a control compliant without proof.

A vendor-risk agent that scores third parties on security, compliance, and data access from evidence, flags missing certs and DPAs, and recommends a tier.

A supply-chain monitor that detects disruptions from real sourced signals, rates severity and confidence, and recommends actions for approval without acting on its own.

A 3-way-match agent that reconciles invoice, PO, and receipt, flags price and quantity variances and duplicates, and approves matches within tolerance or escalates.

A feedback-synthesis agent that clusters user feedback into themes with cited quotes and honest frequency, separating signal from small-sample noise. Never fabricates.

A PRD agent that drafts a product requirements doc from your notes, flags assumptions and open questions, and never fabricates user research or success metrics.

A planning agent that decomposes a goal into an ordered, dependency-mapped subtask plan, gating irreversible steps. It plans and validates; it never auto-executes.

A routing agent that classifies incoming requests and sends them to the right workflow with a confidence and reason, escalating ambiguous or high-risk ones to humans.

An inbox-triage agent that classifies and prioritizes email, drafts routine replies, flags phishing, and escalates high-stakes messages. Never auto-sends sensitive mail.

An email agent that drafts contextual replies in your voice from the thread, never sends on its own, avoids unapproved commitments, and flags sensitive emails for review.

A meeting agent that turns a transcript into a faithful summary, cited decisions, and owned action items — never inventing a decision or owner the transcript lacks.

An action-item agent that extracts owners, tasks, and due dates from meetings, tracks status, and flags ambiguous ownership instead of inventing it.

A daily-planning agent that turns your tasks and calendar into a realistic time-blocked plan with breaks, flags overcommitment, and never edits your calendar.

A productivity agent that captures tasks from your notes into an organized list, flags ambiguous items, and proposes structure without auto-scheduling or sending.

A card-dispute agent: classifies reason codes, weighs friendly fraud vs. true fraud, and refunds, represents, or escalates — within network rules and refund caps.

An ROI agent that models scenarios from your inputs, states every assumption, shows the math, and labels results as estimates, never guaranteeing returns.

An administrative claims-intake agent: validates FNOL completeness, screens coverage, flags fraud indicators for SIU, and routes. No coverage decisions.

An insurance agent that explains policy coverage from the actual document with citations, flags what's unclear, and never guarantees a claim will be paid.

A patient-intake agent that turns intake forms into a structured clinician summary, flags red-flag symptoms and missing info, and never diagnoses or gives medical advice.

An administrative prior-auth agent: checks requests against payer rules, flags missing docs, and assembles a review-ready packet. No clinical or coverage decisions.

A listing agent that writes accurate property descriptions from provided facts — Fair-Housing compliant, never fabricating features or using discriminatory language.

A real-estate agent that answers tenant inquiries from your listing data, follows Fair Housing rules, drafts replies without committing, and escalates emergencies.

A tutoring agent that guides learners with questions and hints instead of giving answers — supports academic integrity, stays accurate, and escalates to a teacher.

A lesson-plan agent that builds structured, age-appropriate plans from your objectives, keeps content accurate, and flags where teacher judgment is needed.