Changelog
New features, improvements and fixes to help you streamline your career growth.
This page lists Applivo's historical release notes, newest first. Each entry records what shipped in that version, so you can see how the product has evolved and when a feature first appeared.
v3.1.0 — AI Orchestration Engine (June 13, 2026)
Multi-Provider AI Infrastructure
Applivo now routes AI requests through a unified orchestration layer spanning three providers — Groq, Gemini, and OpenRouter. This enables higher reliability, broader model coverage, and intelligent provider switching without any user-facing disruption.
Dynamic Model Selection
Users can now select their preferred AI model directly from Settings. Models are grouped by plan tier with real-time availability gating.
| Model | Provider | Plan |
|---|---|---|
| Auto | Groq | Free |
| Llama 3.1 8B | Groq | Free |
| Llama 3.3 70B | Groq | Free |
| Gemini 1.5 Flash | Gemini | Free |
| DeepSeek V3 | OpenRouter | Free |
| Qwen 3 | OpenRouter | Free |
| Claude Sonnet 4 | OpenRouter | Pro |
| Gemini 2.5 Pro | Gemini | Pro |
| DeepSeek R1 | OpenRouter | Pro |
| Claude Opus 4.1 | OpenRouter | Premium |
| GPT-5 | OpenRouter | Premium |
Intelligent Model Routing
A new routing engine determines the optimal model for every request based on user preference, plan permissions, real-time availability, and latency signals — without any manual intervention.
- User preference
- Plan permissions
- Real-time availability
- Performance signals
- Latency optimization
- Cost awareness
Smart Fallback System
When a model becomes unavailable due to rate limits, provider outages, or capacity restrictions, Applivo automatically reroutes to the next best alternative. Three strategies available:
| Strategy | Order |
|---|---|
| Fastest | Groq → Gemini Flash → DeepSeek |
| Balanced | Groq 70B → Gemini → DeepSeek |
| Best quality | Claude Sonnet → R1 → Gemini Pro |
Reasoning Profiles
New reasoning modes control inference depth, injected into every AI request across the platform.
| Profile | Settings | Description |
|---|---|---|
| Fast | temp=0.2, 1k tokens | Lowest latency, cost optimized |
| Balanced | temp=0.4, 2.5k tokens | Speed / quality tradeoff |
| Deep | temp=0.7, 5k tokens | Extended reasoning, max quality |
Application Generation Styles
Four specialized generation frameworks injected into every cover letter, resume optimization, follow-up, and AI chat response.
| Style | Description |
|---|---|
| Professional | Enterprise and ATS-optimized communication. |
| Technical | Engineering-focused language and terminology. |
| Startup | Builder-oriented, impact-driven communication. |
| Enterprise | Executive-level, process-oriented communication. |
Persistent Settings Engine
All AI preferences now survive page refresh, logout/login, and deployment restarts. Provider, model, reasoning profile, generation style, and fallback strategy are stored per-user in the database.
- Settings V2 API
- User Settings Database
- Audit Log System (full change history)
- Session Management
- Active session listing
- Logout from all devices
7-Day Free Trial
New users now receive 7-day Starter access with full AI features — no credit card required upfront. Includes AI resume generation, AI cover letters, job automation, AI chat, multi-model access and dynamic model routing.
v3.0.0 — The AI Transformation (April 15, 2026)
Dual-LLM Job Analysis Engine Launched
Applivo now uses a two-pass AI system for job matching. Pass 1 runs a fast rule-based keyword filter using LLaMA-8B — jobs with less than 30% skill overlap are scored and skipped instantly with no LLM cost. Pass 2 sends qualified jobs to LLaMA-70B for deep structured extraction: required skills, tech stack, ATS keywords, responsibilities, match scores, and personalized recommendations.
Models used: llama-3.3-70b-versatile and llama-3.1-8b-instant. Inference: Groq primary with Google Gemini fallback.
6-Hour Autonomous Agent Cycle
Celery Beat fires the full pipeline every 6 hours: scrape, analyze, gate, queue, apply, notify, follow-up. A Priority Queue ensures Premium subscribers' applications are processed before lower-tier users.
- 7 named Celery queues
- In-memory min-heap backed by Redis
- Concurrency level 4
- Daily application limits enforced
AI Career Assistant Chat
| Plan | Monthly credits |
|---|---|
| Starter | 100 messages |
| Pro | 500 messages |
| Premium | Unlimited |
v2.0.0 — Infrastructure & Payments (March 20, 2026)
Razorpay Subscription Billing
Full Razorpay payment flow integrated with HMAC-SHA256 verification. Automated 30-day subscription provisioning on successful capture.
6-Container Docker Compose Stack
| Container | Role | Port |
|---|---|---|
| backend | FastAPI / Uvicorn | 8000 |
| worker | Celery Worker | internal |
| database | PostgreSQL 16 | 5433 |
| redis | Redis 7 | 6379 |
v1.0.0 — Foundation (February 12, 2026)
AES-256-GCM Encryption
Applied session cookies and credentials encrypted at rest with random nonces. Credentials never stored in plaintext.
Lifecycle Machine
Every application tracked via immutable event logs. Logic handles transitions from Pending to Offer Accepted or Failure.