Client meetings → implementation briefs.

You just finished a 47-minute call with the client. The requirements? Somewhere in your head. The decisions? Half-remembered. The action items? Good luck finding them next Monday.

CallWise records the meeting, and AI extracts every action item, technical decision, and requirement into a structured brief. Pull it via API. Feed it to your coding agent. Start implementing with full context — not scattered notes.

No credit card · 5-minute setup · API access from day one

// GET /api/v1/calls/cl_8f3k2m/brief
{
  "call_id": "cl_8f3k2m",
  "client": "Acme Corp",
  "duration": "47min",
  "brief": {
    "action_items": [
      {
        "task": "Add OAuth2 login flow",
        "assignee": "frontend-team",
        "priority": "high",
        "deadline": "2025-02-14"
      },
      {
        "task": "Migrate user DB to PostgreSQL",
        "assignee": "backend-team",
        "priority": "medium"
      }
    ],
    "decisions": [
      "Use Next.js App Router (not Pages)",
      "PostgreSQL over MongoDB for ACID",
      "Deploy on Vercel, DB on Supabase"
    ],
    "requirements": [
      "SSO with Google Workspace",
      "Sub-200ms API response times",
      "GDPR compliance for EU users"
    ]
  }
}

From meeting to code in 4 steps

You talk to the client. AI does the rest. You code with full context.

1

Record the meeting

Use built-in VoIP, upload MP3/WAV, or connect Google Meet. Zero config — it works in the background while you talk to the client.

2

AI analyzes everything

Full transcript in 38 languages, action items with assignees and deadlines, technical decisions, client priorities. Every detail captured — even the ones you would have forgotten by lunchtime.

3

Pull the brief via API

GET /api/v1/calls/{id}/brief returns structured JSON. Or set up a webhook — we push call.analyzed to your endpoint the moment it's ready.

4

Feed your coding agent

Paste the brief into Claude Code, Copilot, or Cursor. Or pipe it automatically via CLI. Full meeting context in your agent's context window — zero manual copying.

Built for developers who read docs, not brochures

Real endpoints. Real payloads. No marketing abstractions.

# Ingest a call recording
curl -X POST https://staging-api.callwise.awesomeworks.ai/api/v1/calls/ingest \
  -H "Authorization: Bearer sk-a3b9c1d4e5f6..." \
  -F "file=@meeting-2025-02-10.mp3" \
  -F "language=en"

# → 202 Accepted
{ "id": "cl_8f3k2m", "status": "processing" }

Everything your brain forgets after a meeting

AI captures what matters. Structured, searchable, ready to implement.

Action items

Tasks with assignees, priorities, and deadlines. Extracted from natural conversation — not templates.

Technical decisions

Framework choices, architecture calls, infrastructure preferences. Captured verbatim from the discussion.

Client requirements

Functional specs, performance targets, compliance needs. No more "what did they say about the deadline?"

Priorities & constraints

Budget limits, timeline pressure, must-haves vs nice-to-haves. The context that shapes every implementation choice.

Follow-up commitments

Who promised what by when. SOW deadlines, review dates, deliverable milestones. Never drop the ball again.

Implementation context

Technical stack preferences, existing systems to integrate with, deployment constraints. Everything your coding agent needs to write the right code.

Meeting at 10am. Feature in the repo by 2pm.

Real workflows. Not theoretical possibilities.

You: @claude Here's the brief from today's client call:
{paste brief JSON}

Based on this, create the OAuth2 login flow.
Requirements: Google Workspace SSO, GDPR-compliant
session storage. Use Next.js App Router.

Feed to Claude Code

Paste the brief. Claude has full context — requirements, decisions, constraints. No more "let me explain what the client wants..."

Auto-create GitHub issues

Webhook fires → GitHub Action creates issues → your backlog is ready before you finish your coffee.

# .github/workflows/callwise-webhook.yml
on:
  repository_dispatch:
    types: [callwise-brief]

jobs:
  create-issues:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/github-script@v7
        with:
          script: |
            const items = ${{ toJSON(github.event.client_payload.action_items) }};
            for (const item of items) {
              await github.rest.issues.create({
                owner: context.repo.owner,
                repo: context.repo.repo,
                title: item.task,
                labels: [item.priority],
                body: `Assignee: ${item.assignee}\nFrom: client meeting ${item.call_id}`
              });
            }
#!/bin/bash
# sync-latest-brief.sh
CALL_ID=$(curl -s "https://staging-api.callwise.awesomeworks.ai/api/v1/calls?limit=1" \
  -H "Authorization: Bearer $CALLWISE_KEY" | jq -r '.[0].id')

curl -s "https://staging-api.callwise.awesomeworks.ai/api/v1/calls/$CALL_ID/brief" \
  -H "Authorization: Bearer $CALLWISE_KEY" \
  > .callwise/latest-brief.json

echo "Brief synced: .callwise/latest-brief.json"

Cursor context file

Run after every client call. Cursor picks up .callwise/latest-brief.json as context. Your IDE knows what the client wants.

Cheaper than one hour of your freelancer

API access in every plan. No hidden "Enterprise only" gates.

  • API tokens, webhooks, and full transcript access from Starter (€19/mo per user)
  • 50+ AI Agent tool calls included — action items, notes, search, CRM auto-fill
  • 14-day free trial. No credit card. Cancel with one click.

Every unrecorded meeting is lost context you'll never recover

Your next client call has requirements your coding agent needs. Make sure they get captured.