Ailytics - Smarter Vision vs Deep Work Plan: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Ailytics - Smarter Vision and Deep Work Plan — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Ailytics - Smarter Vision
Ailytics
AI-powered video analytics platform that converts existing CCTV into 24/7 Smarter Vision for safety and productivity in heavy industries.
Key features
- AI Video Analytics: Processes live and recorded CCTV feeds to identify safety incidents, operational anomalies, and events of interest without replacing existing cameras.
- 24/7 Monitoring: Continuous, always-on analysis that flags incidents and trends in real time to reduce response time and improve situational awareness.
- Operational Insights: Quantifies productivity and process metrics from video data to help teams identify inefficiencies and optimize workflows on site.
- Scalable Integration: Designed to convert existing CCTV infrastructure into smart sensors and integrate with partner platforms and third-party systems for end-to-end workflows.
- Industry-Tuned Models: Models and detection logic tailored for heavy industries (construction, manufacturing, logistics) to handle real-world conditions and site variability.
- Alerting & Reporting: Generates actionable alerts and consolidated reports to support incident response, compliance auditing, and management decision-making.
- Project & Progress Tracking: Uses visual analytics to monitor project progress and site activities, enabling better planning and resource allocation.
- Converts existing CCTV infrastructure into AI-powered continuous monitoring
- 24/7 monitoring for safety, productivity, progress and security use cases
- Real-time event detection and alerting for incidents and unsafe conditions
- Analytics dashboards and metrics for operational insights
- Use-case templates tailored for construction, manufacturing and heavy industries
- Integrations and partnerships with camera/cloud providers to enable deployments
- Scalable deployments suitable for industrial environments (on-site/edge and cloud options implied)
- Case study / use-case driven implementation to map detections to operational workflows
Best for
- Construction Site Safety Monitoring: Continuous detection of unsafe events or hazardous conditions to reduce accidents and enforce safety protocols across large sites.
- Manufacturing Line Oversight: Identifying operational bottlenecks and anomalies on production lines to minimize downtime and improve throughput.
- Logistics Yard Management: Monitoring vehicle movements, loading/unloading operations, and yard activity to prevent collisions and optimize operations.
- Site Security & Intrusion Detection: Using CCTV feeds to detect unauthorized access, perimeter breaches, and suspicious activity for faster security response.
- Project Progress Tracking: Visual tracking of construction or installation milestones to validate progress, support reporting, and inform stakeholders.
- Compliance Monitoring: Capturing evidence and trends to demonstrate adherence to safety procedures and regulatory requirements in industrial environments.
- Construction site safety monitoring and incident detection
- Manufacturing line safety and productivity tracking
- Progress monitoring for project management and reporting
- Site security and intrusion detection using CCTV feeds
- Operational efficiency analysis and anomaly detection in heavy industry
Deep Work Plan
Dailybot
Open-source, spec-driven methodology that turns any repo into a harness so coding agents finish long-horizon work.
Key features
- Spec-In-Repo Planning: Writes atomic tasks, acceptance criteria, validation gates, and resumable state directly into the repository as a durable plan.
- Drift Resistance: Keeps agents from losing context or abandoning multi-hour tasks by anchoring them to the plan as the source of truth.
- Resumable Long Runs: State survives context resets so any agent can pick up exactly where the previous one stopped.
- DWP-Verify: Produces an objective pass/fail report against the spec so AI-first completion is verified, not assumed.
- Agent-Agnostic: Works with Claude Code, Codex, Cursor, or any coding agent, with no lock-in.
- Open Source: Released under the MIT license and free to adopt in any repository.
Best for
- Large Migrations: Driving multi-file migrations to completion without the agent drifting or stalling.
- New Subsystems: Building a new subsystem against explicit acceptance criteria and validation gates.
- Cross-File Refactors: Coordinating refactors across dozens of files with a durable, resumable plan.