OneWave AI

Transform text-heavy slides into visual storytelling. Suggest layout improvements, icon usage, and data visualization.

日本語の概要は準備中です。原文の説明を表示しています。

Design and roll out a price increase or packaging change without triggering churn. Segments the base by price sensitivity, models revenue and churn scenarios, decides grandfathering and notice strategy, and produces the full comms kit (customer email, in-app notice, sales talk track, support FAQ, objection handling). Use when raising prices, repackaging tiers, or moving customers to new plans.

日本語の概要は準備中です。原文の説明を表示しています。

Generates professional Statements of Work from a project brief. Use when a user needs to create an SOW, scope a project, define deliverables and milestones, or produce a consulting engagement document.

日本語の概要は準備中です。原文の説明を表示しています。

Aggregate prospect intelligence from multiple sources including news, social media, company websites, and financial data.

日本語の概要は準備中です。原文の説明を表示しています。

Top-down vs bottom-up quota models. Historical attainment, market growth assumptions, ramp periods, territory complexity.

日本語の概要は準備中です。原文の説明を表示しています。

Market salary research, accomplishment quantification, negotiation scripts, total compensation analysis, timing strategy.

日本語の概要は準備中です。原文の説明を表示しています。

Reviews pitch decks and investor presentations. Reads slide content, evaluates narrative flow, problem/solution clarity, market sizing, competitive positioning, financial projections, team credibility, and ask clarity. Generates a scored pitch-review.md with slide-by-slide feedback, overall score, top improvements, investor objection predictions, and comparisons to successful decks. Use when reviewing fundraising materials, investor decks, or pitch presentations.

日本語の概要は準備中です。原文の説明を表示しています。

Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.

日本語の概要は準備中です。原文の説明を表示しています。

Define a product's motion design language -- duration and easing scales, choreography rules, and signature moves -- and export it as tokens plus ready-to-use Framer Motion variants and CSS. The difference between animations and a motion system: everything moves like it belongs to the same product.

日本語の概要は準備中です。原文の説明を表示しています。

Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter. Real consulting workflow that produces a complete client assessment.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency. Auto-generates qualification questions, routes to right rep, and suggests personalized first touch. Use for qualifying and routing inbound leads at scale.

日本語の概要は準備中です。原文の説明を表示しています。

Generates customized client onboarding checklists with phased tasks, ownership assignments, dependencies, acceptance criteria, and email templates. Adapts to consulting, SaaS, or agency engagement models.

日本語の概要は準備中です。原文の説明を表示しています。

Use to build, wire up, or debug an MCP (Model Context Protocol) server that gives Claude access to an internal API, database, or SaaS tool. Trigger when the user wants Claude to connect to their own system, asks for an MCP server, needs custom tools for Claude Code or the Claude app, or an existing server's tools are not showing up.

日本語の概要は準備中です。原文の説明を表示しています。

Construct statistical arguments for MVP/awards. Narrative framing, comparison to past winners, advanced metrics, counter-arguments.

日本語の概要は準備中です。原文の説明を表示しています。

Build targeted prospect lists by analyzing LinkedIn profiles, extracting job titles, companies, locations, and recent activity. Identifies decision-makers, tracks job changes for warm outreach, and enriches contact data. Use when users need to find prospects, build lead lists, or track decision-maker movements.

日本語の概要は準備中です。原文の説明を表示しています。

Get a local business found on Google -- audit and optimize the Google Business Profile, local pack ranking factors, review velocity, NAP consistency across directories, and location pages. For businesses whose customers search "near me," this outranks everything else in marketing.

日本語の概要は準備中です。原文の説明を表示しています。

Input your best customers and find 100+ companies that match the profile. Uses firmographic data, tech stack, growth signals, and similarity scoring to identify ideal prospects. Use when building target account lists or expanding to new markets.

日本語の概要は準備中です。原文の説明を表示しています。

Professional narrative style with line breaks, hashtag strategy, and hooks in first 2 lines to avoid truncation

日本語の概要は準備中です。原文の説明を表示しています。

Wire a System One model (Jev, or an open reproduction like Von) into a product feature — routing, guardrails, scoring, classification. Use when replacing an LLM call that returns a label rather than prose, when adding a typed decision to an agent loop, or when deciding between the hosted Jev API and a local open model. Covers question design, the eval-set-first workflow, threshold calibration, confidence gates, and the traps measured on real data.

日本語の概要は準備中です。原文の説明を表示しています。

TAM/SAM/SOM calculator with deep market research. Produces comprehensive market-sizing.md with top-down and bottom-up estimates, methodology, data sources, assumptions, sensitivity ranges, growth projections, competitive landscape, and Mermaid visualizations. Use when user needs market size estimates, addressable market analysis, go-to-market sizing, investor-ready market analysis, or business plan market validation.

日本語の概要は準備中です。原文の説明を表示しています。

Mine lost deal notes to identify recurring objection patterns. Create objection response playbooks from won deals.

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Write job posts that make the right person apply -- real role clarity, honest selling points, salary range handling, and requirements pruned to what actually predicts success. Small businesses lose great candidates to bad posts long before the interview. Feeds cowork-hiring-screener and hiring-scorecard downstream.

日本語の概要は準備中です。原文の説明を表示しています。

Creates structured hiring scorecards for any role. Takes job title, requirements, and team context. Generates comprehensive scorecard with weighted scoring rubric, interview questions per competency, evaluation matrix, red/green flags, and reference check questions.

日本語の概要は準備中です。原文の説明を表示しています。

Find out which clients and jobs actually make money -- allocate real costs (labor hours, materials, subs, overhead) against what each job billed, and rank every client by true margin. Most service businesses discover their biggest client is their least profitable.

日本語の概要は準備中です。原文の説明を表示しています。