What a Productivity Coaching Tool actually does
Generates weekly productivity review narratives from connected calendar and task data, then delivers AI coaching nudges to help clients close the gap between their stated goals and how they actually spend their time.
A white-label AI productivity coaching tool connects to Google Calendar and a task manager (Todoist, Linear, or Notion), then runs a weekly job that reads the client's meeting load, deep-work blocks, task completion rate, and snoozed items. Claude Sonnet 4.6 synthesizes this into a 300-word narrative: "Last week you spent 61% of your time in meetings against a stated goal of 40% deep work. You snoozed 'Write Q3 report' four times — that's a sign to break it into three 30-minute sub-tasks. This week's recommended focus: block two 90-minute deep-work slots before 10 AM Tuesday and Thursday." The coach receives this narrative via email or dashboard and can forward, annotate, and share it with the client — fully branded under the coaching business's name, not a third-party tool.
Research confirms that the productivity-AI category — Motion, Reclaim.ai, Sunsama, Akiflow, Magical AI — has zero white-label SaaS options at any price point. These are all end-user-facing tools with no agency or reseller tiers. For a coaching agency serving 20–100 professional clients, this means there is no off-the-shelf product to resell. A Lovable build on Supabase with Google Calendar OAuth and a weekly Sonnet 4.6 cron job costs roughly $50/mo in total infra at 20 clients — billable at $29–$59/mo per end-user or $499/mo per coach-bundle of 20 seats, yielding gross margin above 92%.
AI capabilities involved
Weekly productivity review narrative from calendar + task data
Deep-work vs. meeting-time ratio analysis and recommendations
Snoozed-task escalation and break-down coaching nudges
Goal-progress narrative for coach-to-client communication
Goal-to-task similarity matching for backlog prioritization
Who uses this
- Productivity-coaching agencies with 20–100 individual professional clients who want to deliver a weekly AI review under their own brand
- Solo productivity coaches who want to scale from 20 to 100+ clients without proportionally more coach time
- Corporate L&D vendors offering productivity programs to enterprise teams and wanting a branded reporting dashboard
- Executive coaching firms adding an AI-powered accountability layer to their monthly coaching engagements
SaaS alternatives on the market
Real products you can sign up for today — with current 2026 pricing, honest pros and cons.
Motion
Individual professionals who want AI-driven calendar scheduling and don't need their coach to white-label the tool
7-day trial
$19/mo (Individual, billed monthly)
$34/mo (Business, billed monthly)
Pros
- +Auto-schedules tasks into calendar blocks based on deadlines and priorities — the most feature-complete AI scheduling on the market
- +Meeting scheduling assistant included at all paid tiers
- +Native iOS and Android apps with real-time sync
Cons
- −Zero white-label: no agency program, no rebrand, no reseller tier at any price
- −At $19/mo per individual client, serving 20 clients costs $380/mo — before your coaching margin
- −AI decisions are a black box — you cannot customize the scheduling logic or prompt the AI to apply your coaching framework
- −Clients see Motion branding throughout; you cannot deliver this as your own product
Reclaim.ai
Individual users who want automated habit blocking and focus-time scheduling with minimal setup
Free tier (limited features)
$8/mo (Starter, billed annually)
$18/mo (Business, billed annually)
Pros
- +Habit scheduling and focus-time blocking are genuinely useful for productivity clients
- +Cheapest entry price in the category at $8/mo makes it accessible for clients to pay themselves
- +Slack integration for meeting-status updates works reliably
Cons
- −No white-label tier — research explicitly flags this as having zero rebrand at any price
- −AI features are limited to scheduling optimization; no coaching narrative or goal-progress analysis
- −The free tier is crippled enough that most real clients end up on Starter or higher
- −Coaching agencies cannot add their own prompts, framework, or branded communication layer
Sunsama
Individual clients who want a guided daily and weekly review ritual and are willing to run it manually each week
14-day trial
$16/mo (billed monthly)
Pros
- +Daily planning ritual with guided prompts resonates with coaching clients who want structure
- +Weekly review feature is the closest analog to what this AI tool automates
- +Integrates with Asana, Jira, Trello, Linear for task pull-in
Cons
- −No white-label tier — Sunsama branding throughout
- −The weekly review is manual, not AI-generated; coaches cannot customize the output format or apply their framework
- −Single flat pricing means you pay the same for a C-suite executive client as for a junior professional
- −No coach-to-client communication layer — you'd need a separate tool to share insights
Akiflow
Individual knowledge workers who want fast keyboard-driven task capture with strong calendar integration
7-day trial
$15/mo (billed annually)
Pros
- +Keyboard-driven task capture is extremely fast for power users
- +Deep integrations with 3,000+ tools via Zapier and native connectors
- +Time-blocking visualization is clean and client-presentable
Cons
- −No white-label or agency tier — Akiflow branding throughout
- −Primarily a desktop app; mobile experience is secondary, which creates friction for coaching clients
- −No AI-generated narrative or coaching layer — it's a productivity tool, not a coaching product
- −Cannot customize the tool's framework or output to match your coaching methodology
The AI stack
The AI footprint for a productivity coaching tool is intentionally lightweight — one LLM for weekly narratives, one for daily nudges, and embeddings for goal-task alignment. Don't over-engineer this: the coaching value is in the narrative quality, not in the number of models involved.
Weekly review narrative generation
Synthesizes calendar + task data into a branded 300-word coaching narrative for each client
Claude Sonnet 4.6
$3/$15 per M tokensAll client tiers as the default — the quality difference from cheaper models is visible in coaching narratives
Claude Haiku 4.5
$1/$5 per M tokensDaily nudge messages and snoozed-task alerts where brevity matters more than depth
GPT-5.4 mini
$0.75/$4.50 per M tokensBudget tier for coaches with large client rosters who want to lower per-client AI cost below $0.01/week
Our pick: Use Claude Sonnet 4.6 for all weekly review narratives — the coaching quality difference is real and justifies the $0.022 per review. Switch to Claude Haiku 4.5 for daily nudge messages and snoozed-task alerts where brevity is more valuable than depth.
Goal-to-task alignment (embeddings)
Measures similarity between a client's stated goals and their open tasks to surface misalignment in the weekly review
text-embedding-3-small (OpenAI)
$0.02/M tokensEnglish-language coaching practices serving North American or UK clients
Gemini 3.1 Flash-Lite
$0.25/$1.50 per M tokensCoaching agencies with multilingual client bases where non-English goal text is common
Our pick: Default to text-embedding-3-small. At coaching-tool volumes (50 goals + 200 tasks per client per week), the monthly embedding cost per client is under $0.001. The only reason to switch is a multilingual client base.
Calendar and task data ingestion
Pulls structured calendar events and task completion data to feed the narrative generation layer
Google Calendar API (OAuth)
Free (Google API quotas apply)Coaching clients using Google Workspace — the majority of professional knowledge workers
Microsoft Graph API (Office 365 Calendar)
Free (Microsoft API quotas apply)Corporate L&D programs serving enterprise employees on Microsoft 365
Our pick: Launch with Google Calendar OAuth only — it covers the majority of coaching clients. Add Microsoft Graph in the second build sprint when you have a confirmed enterprise client. Don't build both simultaneously on the MVP.
Reference architecture
The pipeline is cron-driven: a weekly Supabase cron job fetches calendar and task data per client, passes it to Sonnet 4.6, stores the narrative, and queues an email delivery. The hardest engineering challenge is the Google Calendar OAuth refresh-token management — tokens expire and must be re-requested gracefully without losing the client's connection.
Coach creates an account and configures their agency workspace (logo, brand colors, coaching framework)
Next.js onboarding UI + Supabase workspaces table (RLS-isolated per coach)Each coach has a workspace row. Within the workspace, they add client profiles with name, email, goals, and weekly review schedule (e.g., every Monday at 7 AM). The coaching framework (which productivity principles the AI applies) is stored as a system-prompt template per workspace.
Client connects their Google Calendar via OAuth and optionally their task manager
Google OAuth flow → Supabase Vault (token storage) → client_integrations tableThe access token and refresh token are stored encrypted in Supabase Vault, associated with the client's row. The connection flow uses the calendar.readonly scope only — never read/write. A separate optional flow connects Todoist or Linear via API token.
Weekly cron job fetches the past 7 days of calendar events for each connected client
Supabase pg_cron → Google Calendar API edge functionThe job queries Google Calendar for events in the past 7 days. It aggregates: total meeting minutes, total focus-block minutes (events the client tagged as focus time), number of meetings vs. solo work sessions, and any recurring blocks that were skipped or deleted.
Task data is fetched from Todoist or Linear and normalized
Todoist/Linear API edge function → task_events tableCompleted tasks, snoozed tasks, and overdue tasks from the past 7 days are fetched and stored in a normalized format. Snoozed-task count per item is tracked — a task snoozed 3+ times triggers the break-down coaching nudge in the narrative.
Sonnet 4.6 generates the weekly review narrative
Sonnet 4.6 edge function with the coach's system-prompt templateThe edge function builds a prompt with: (a) the coach's framework template, (b) the calendar summary (meeting%, deep-work%, skipped blocks), (c) the task summary (completed, snoozed, overdue), and (d) the client's stated goals from their profile. Sonnet 4.6 returns a 300-word narrative stored in weekly_reviews table.
Coach receives the narrative in their dashboard and can annotate or forward to the client
Next.js coach dashboard + client view toggleThe coach sees all this week's client reviews in a dashboard. They can add a comment, approve without changes, or edit the narrative. On approval, the system queues an email to the client with the review under the coaching brand — not any third-party name.
Mid-week nudges fire when a client's snoozed-task threshold is hit
Supabase pg_cron (daily check) → Haiku 4.5 edge function → email queueA daily lightweight check counts snoozed tasks per client. If any task has been snoozed 3+ times, Haiku 4.5 generates a 2-sentence break-down nudge: "You've snoozed 'Write Q3 report' 4 times — try splitting it into: (1) outline in 20 min, (2) draft section 1 in 30 min, (3) draft section 2 in 30 min." The nudge is sent as a branded email from the coach's domain.
Estimated cost per request
~$0.022 per weekly review narrative (Sonnet 4.6, ~4K tokens in + 700 out for a typical client profile); ~$0.002 per mid-week nudge (Haiku 4.5, ~200 in + 100 out); ~$0.0001 per goal-task embedding update per client per week
Cost calculator
Drag the sliders to model your actual usage. The numbers update in real time so you can stress-test economics before writing a single line of code.
Estimates monthly infrastructure and AI cost for a white-label productivity coaching tool. Baseline assumes Sonnet 4.6 weekly reviews, Haiku 4.5 mid-week nudges, and Google Calendar + Todoist as the data sources.
Estimated monthly cost
$56.92
≈ $683 per year
Calculator notes
- At 20 clients: total AI cost is roughly $1.90 (weekly reviews at $0.022 × 4.3 × 20) + $0.08 (nudges) = ~$1.98/mo. Fixed costs add $55. Total: ~$57/mo. Revenue at $49/mo × 20 clients = $980. Gross margin ~94%.
- The dominant fixed cost is Supabase Pro ($25/mo) — the AI spend is negligible until you reach 200+ clients.
- Google Calendar API has a free quota of 1M requests/day per project — this tool will never exceed it at coaching-tool volumes.
- Calculator assumes the coach approves all reviews before sending; if you add auto-send, add Resend's volume pricing above the included tier.
Build it yourself with vibe-coding tools
By Sunday night you'll have a working coach dashboard where you connect your own Google Calendar, run a manual weekly review, and get a Sonnet 4.6 narrative you can forward to a first pilot client — no onboarding flow for the client yet, but enough to prove the concept.
Time to MVP
12–16 hours (1 weekend)
Total cost to MVP
$25 Lovable Pro + ~$20 API credits
You'll need
Starter prompt
Build a white-label AI productivity coaching tool called [YOUR BRAND NAME]. Coaches use this to deliver branded weekly AI-powered reviews to their clients. TECH STACK: Next.js App Router + Supabase (DB + Auth + Edge Functions + pg_cron) + Tailwind CSS + shadcn/ui. No external UI libraries beyond these. SCHEMA (create with RLS in Supabase): - coaches (id, email, workspace_name, logo_url, brand_color, coaching_framework_prompt, created_at) - clients (id, coach_id, name, email, goals text[], timezone, review_day text, created_at) — RLS: coach_id must match auth.uid() - client_integrations (id, client_id, provider text, access_token_encrypted text, refresh_token_encrypted text, connected_at) — RLS: join through clients to verify coach_id - weekly_reviews (id, client_id, week_start date, calendar_summary jsonb, task_summary jsonb, narrative text, status text, sent_at, created_at) — RLS: join through clients - nudges (id, client_id, task_name text, snooze_count int, nudge_text text, sent_at, created_at) PAGES: 1. /login — Supabase Auth email/password for coaches only 2. /setup — brand setup: upload logo, pick brand color, enter coaching framework (text field: 'Describe your productivity philosophy in 2-3 sentences — the AI will apply this framework') 3. /clients — list of clients with status badges (review pending, sent this week, needs attention). Button: 'Add client' 4. /clients/[id] — client profile: name, email, goals list (add/remove), integrations status (Google Calendar connected? Todoist connected?). Button: 'Generate review now' 5. /reviews — list of all pending reviews across clients. Each row: client name, week of, narrative preview, Approve & Send / Edit / Skip buttons 6. /reviews/[id] — full review view with editable narrative textarea + Send button EDGE FUNCTIONS (scaffold stubs, I will wire the actual API calls): - fetch-calendar: given client_id, fetches past 7 days from Google Calendar using stored OAuth token - generate-review: given client_id + calendar_summary + task_summary, calls Sonnet 4.6 and returns narrative - send-review: given review_id, sends branded email via Resend to the client - generate-nudge: given client_id + task_name + snooze_count, calls Haiku 4.5 and returns a 2-sentence break-down suggestion IMPORTANT: Every database query must enforce RLS through coach_id. Never expose a client's data to a different coach. Store API tokens in Supabase Vault, not in plain text columns.
Paste this into Lovable
Follow-up prompts (run in order)
- 1
Wire the fetch-calendar edge function: use the stored Google OAuth access_token from Supabase Vault. Call Google Calendar API v3 /calendars/primary/events with timeMin = 7 days ago, timeMax = now, singleEvents = true, orderBy = startTime. Aggregate the results into: total_meeting_minutes (sum of event durations where attendees > 1), total_focus_minutes (events created by the client themselves with no other attendees), meeting_count, events_deleted_count (cancelled events). Return this as a JSON object stored in weekly_reviews.calendar_summary.
- 2
Wire the generate-review edge function: import Anthropic SDK, read ANTHROPIC_API_KEY from Deno.env.get(). Build the prompt: system = 'You are a productivity coach assistant for {coach_workspace_name}. Apply this coaching framework: {coaching_framework_prompt}. Write a 300-word weekly review for the client. Use second-person voice ("you"). Include: 1) How they spent their time this week vs. their goals. 2) One specific pattern to celebrate. 3) One specific pattern to improve. 4) Two concrete actions for next week. Do not use bullet points — write in flowing paragraphs.' User message = JSON.stringify({calendar_summary, task_summary, client_goals}). Call claude-sonnet-4-6. Return the narrative string.
- 3
Wire the send-review edge function: import Resend SDK, read RESEND_API_KEY from Deno.env.get(). Read the coach's workspace_name, logo_url, and brand_color from the coaches table. Fetch the review narrative and client email. Send via Resend using an inline HTML template: the coach's logo at the top, the week label, the narrative text, and a footer 'Sent by {workspace_name}'. No mention of any third-party tool name. On success, update weekly_reviews.status = 'sent' and sent_at = now().
- 4
Wire the Google OAuth connection flow for clients: add a 'Connect Google Calendar' button on /clients/[id]. Clicking it opens a Google OAuth popup with scope calendar.readonly. On callback, exchange the code for access_token and refresh_token. Store both encrypted in Supabase Vault under the key 'gcal_{client_id}'. Show a green 'Connected' badge on the client profile after success.
- 5
Add a Supabase pg_cron job that runs every Monday at 6 AM UTC: for each client where review_day = 'Monday' and no weekly_review exists for this week, trigger the fetch-calendar edge function followed by the generate-review edge function. Set the resulting review status to 'pending' so the coach sees it in /reviews awaiting approval.
- 6
Add the nudge detection cron: run daily at 9 AM UTC. For each client with an active Todoist connection, fetch tasks snoozed in the past 24 hours. Increment the snooze_count in the nudges table per task. If snooze_count >= 3 and no nudge was sent today, call the generate-nudge edge function and send via Resend. Cap nudges at 1 per client per day to avoid overwhelming clients.
Expected output
A working coach dashboard where you can add a pilot client, run a manual Google Calendar fetch, and generate a Sonnet 4.6 weekly review — ready to email under your coaching brand within 48 hours of starting.
Known gotchas
- !Google OAuth consent screen review: if you request the calendar.readonly sensitive scope, Google requires app verification before allowing external users (anyone outside your Google Workspace organization) to connect. The review process takes 2–4 weeks. For the MVP, set the app to 'Testing' mode and add pilot clients as test users — they can connect without verification. Start the verification process in parallel.
- !Supabase Edge Function execution timeout is 150 seconds: for clients with dense calendars (10+ events per day), the Google Calendar API call + Sonnet 4.6 generation can approach this limit. Add a streaming response to the generate-review function to avoid timeouts on large contexts.
- !OAuth refresh token rotation: Google silently rotates refresh tokens in some scenarios. If the stored refresh_token is revoked, the next fetch-calendar call will return a 401. Add error handling that sets the client's integration status to 'reconnect required' and sends a coach notification rather than failing silently.
- !Multi-tenant RLS is the most important safety check before going live: create two test coaches with one test client each, then verify from coach A's session that you cannot read coach B's clients or reviews via direct Supabase API calls.
- !The coaching framework prompt stored per workspace is the most valuable part of the product: if it's too generic ('be a helpful coach'), Sonnet 4.6 will produce generic output. Help coaches write a specific framework ('Apply the GTD methodology. Flag any task that has been waiting more than 5 days as a stuck item. Always end with a specific time-blocking recommendation for the coming week.').
- !Resend free tier is 100 emails/day: with 20 clients getting 1 weekly review + occasional nudges, you'll use roughly 3–4 emails/day per client = 60–80 emails/day total. The free tier is adequate for the MVP but upgrade to Resend Pro ($20/mo, 50K emails) before launching beyond 20 clients.
Compliance & risk reality check
A productivity coaching tool that reads calendar and task data operates in a sensitive personal-data category — Google Calendar data is explicitly classified as sensitive by Google's OAuth policy, and coaching relationships that touch mental health or executive performance add confidentiality obligations beyond standard data processing.
Google Calendar API sensitive scope — OAuth verification
The calendar.readonly scope is classified as a sensitive Google API scope. Apps requesting it from users outside the developer's own Google Workspace organization must complete Google's OAuth app verification process. Unverified apps can only have test users added manually. Attempting to launch to 100+ clients without verification will result in Google blocking new OAuth connections.
Mitigation: Submit for Google OAuth verification at console.cloud.google.com before launch. The process requires a privacy policy URL, a demo video of the OAuth flow, and a justification for why the scope is necessary. Build the app first with test users, then run verification in parallel — typical review time is 2–4 weeks.
GDPR — calendar and task data as personal data
Calendar event titles, attendee names, and task descriptions are personal data under GDPR Article 4(1). Processing this data on behalf of your coaching clients (who are the data controllers for their end-users) requires a Data Processing Agreement. Anthropic and Supabase are sub-processors that must be disclosed in your DPA.
Mitigation: Include a GDPR DPA in your coach onboarding agreement. List Anthropic (anthropic.com/legal/dpa) and Supabase (supabase.com/privacy) as sub-processors with their own DPAs in place. Select EU regions in Supabase for EU coaching clients. Do not store raw calendar event data longer than 30 days — keep only the aggregated summary.
Coaching-relationship confidentiality and HIPAA-adjacent posture
If any coach serves clients with mental-health-adjacent coaching (burnout recovery, anxiety management, executive wellness), the calendar and task data collected may reveal medically relevant patterns. While general productivity coaching is not regulated healthcare, coaches serving clients in employee assistance programs (EAPs) or wellness programs may have contractual confidentiality obligations that extend to AI-processed data.
Mitigation: Add a coaching-relationship confidentiality clause to your coach onboarding agreement specifying that AI-generated reviews are not stored or used for model training. Use the Anthropic API (not Claude.ai) so data is not used for training by default. For coaches in EAP-adjacent contexts, consult a healthcare attorney before processing calendar data.
GDPR Article 22 — automated coaching recommendations
GDPR Article 22 gives individuals the right not to be subject to solely automated decisions that significantly affect them. A weekly coaching narrative is advisory (the coach reviews and approves before sending), so this is unlikely to trigger Article 22. However, if you add auto-send without coach review, you should include a disclosure in the client-facing email about the automated nature of the review.
Mitigation: Keep the coach-approval step in the default workflow — it is the simplest protection against Article 22 concerns and also the most valuable product feature (coaches who review and annotate create more client trust than purely automated sends).
Build vs buy: the real math
6–9 weeks
Custom build time
$13,000–$25,000
One-time investment
4–6 months
Breakeven vs buying
Motion at $19/mo per client costs $380/mo for 20 clients — with zero rebrand and zero coaching-brand positioning. A RapidDev custom build at $13K–$25K with Google Calendar OAuth, Sonnet 4.6 narratives, and a coach approval dashboard recovers its cost at 20 clients paying $49/mo within roughly 13–25 months ($980/mo revenue vs. ~$57/mo infra). But the economics shift dramatically at 50 clients: $2,450/mo revenue against ~$120/mo infra = $2,330/mo margin, recovering $13K in under 6 months. The math further improves as Sonnet 4.6 pricing continues to decline — Anthropic dropped Opus pricing 67% in 2025 and has signaled ongoing reduction across tiers, meaning the per-review cost of $0.022 is effectively a ceiling, not a floor.
Skip the DIY — RapidDev builds the production version
A Lovable MVP gets you a demo. Production needs auth that doesn't leak data, AI calls that don't bankrupt you, observability when models drift, and code you can audit. That's what we ship.
Discovery call (free)
30 minWe map your exact Productivity Coaching Tool use case: who uses it, target volume, AI model choice, integrations, compliance scope. You get a detailed scope document and fixed-price quote within 48 hours.
AI-accelerated build
6–9 weeksOur engineers use Claude Code, Lovable, and custom tooling to ship 3–5x faster than agencies. You see weekly progress in a staging environment — not a black box.
Launch + handoff
1 weekWe deploy to your infrastructure, transfer the GitHub repo, set up CI/CD and monitoring, and train your team. You own 100% of the source code, prompts, and model configurations.
What you get
Timeline
6–9 weeks
Investment
$13,000–$25,000
vs SaaS
ROI in 4–6 months
30-min call. Fixed-price quote within 48 hours. No commitment.
Frequently asked questions
How much does it cost to build a white-label AI productivity coaching tool?
A Lovable MVP costs $25 (Pro subscription) plus roughly $20 in API credits — enough to validate the concept with 3–5 pilot clients over a weekend. A full RapidDev custom build with Google Calendar OAuth, coach-approval dashboard, branded email delivery, and automated nudges runs $13,000–$25,000 and takes 6–9 weeks. At 20 clients paying $49/mo, the custom build recovers within 13–25 months depending on build cost — faster at higher client counts.
How long does it take to ship a productivity coaching tool?
A Lovable MVP with manual Google Calendar fetch and Sonnet 4.6 narrative generation takes 12–16 hours over a weekend. A production build with automated weekly crons, OAuth refresh management, mid-week nudges, and coach-approval workflow takes 6–9 weeks with RapidDev. The longest single delay is typically Google OAuth app verification — submit that application on day one of the build, not the last week.
Can RapidDev build this for my coaching business?
Yes. RapidDev has shipped 600+ applications including multi-tenant Supabase tools with Google Workspace OAuth integrations and Anthropic API pipelines. A free 30-minute consultation at rapidevelopers.com will scope the specific connectors you need (Todoist vs. Linear vs. Notion), your coaching framework, and the email-delivery requirements — usually enough to estimate precisely within the $13K–$25K band.
Is there any productivity AI SaaS with a white-label agency tier?
No — not as of mid-2026. Motion, Reclaim.ai, Sunsama, Akiflow, BeforeSunset, and Magical AI are all end-user consumer products with no agency, reseller, or white-label tier at any price. This is a genuine market gap: productivity-AI SaaS vendors have built for individual professionals, not for coaching agencies that need to deliver branded insights to clients.
What AI models generate the weekly reviews?
The recommended stack uses Claude Sonnet 4.6 ($3/$15 per M tokens) for weekly review narratives — the coaching quality and instruction-following are noticeably better than cheaper alternatives when applying a specific coaching framework. Claude Haiku 4.5 ($1/$5 per M) handles daily nudge messages where brevity matters more than depth. text-embedding-3-small ($0.02/M) handles goal-task alignment. Total AI cost per client per month is roughly $0.10 at default settings.
What coaching frameworks work best with the AI narrative?
The Sonnet 4.6 system prompt accepts any framework as a natural-language description — Getting Things Done (GTD), Eisenhower Matrix, Time Blocking, and Deep Work all perform well. The more specific and opinionated the framework description, the more distinctive and useful the output. Generic prompts like 'be a helpful productivity coach' produce generic advice; specific prompts like 'Apply GTD. Flag any task not assigned to a project as an inbox item. Always include a specific time-blocking recommendation for the week ahead' produce branded, distinctive coaching output.
How do I handle the Google OAuth verification requirement?
Google requires app verification for the calendar.readonly sensitive scope when external users (anyone outside your own Google Workspace org) connect their calendar. The verification process takes 2–4 weeks and requires a privacy policy URL, a demo video, and a written justification. During the MVP phase, run the app in 'Testing' mode and manually add pilot clients as test users (up to 100 test users allowed). Start the verification application on day one of the build so it runs in parallel — don't wait until launch week.
Want the production version?
- Delivered in 6–9 weeks
- You own 100% of the code
- AI cost monitoring built in
30-min call. No commitment.