Here are our recommendations for January 2026 video – Sora-2, Kling 2.6
image – nano banana pro
code – opus or sonnet 4.5
writing – GPT 5.2
app building – Abacus AI Deep Agent research – Gemini 3.0 pro
TOOLS
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January 2026 AI Tools Recommendations by Abacus AI
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Understanding Data Buzzwords: Mining, Analysis, Visualization, and Science
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Data buzzwords ≠ same meaning. Here’s a clear map: Data Mining = find patterns Data Analysis = interpret insights Data Viz = communicate visually Data Science = knowledge + ML Warehouse (structured) Lake (raw at scale) Lakehouse (best of both) Swamp
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FastAPI-Fullstack CLI Generator with LangGraph ReAct Agents
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fastapi-fullstack CLI Generator Made by the LangChain Community A CLI that generates production AI apps with LangChain or LangGraph. Creates FastAPI + Next.js apps with auth, WebSocket streaming, and LangSmith observability. v0.1.11 adds LangGraph ReAct agents. Get it:
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Near-instantaneous open-source vision models demo with webcam
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Near-instantaneous open-source vision models are here, and they’re cheap:
— AI Breakfast (@AiBreakfast) 4 janvier 2026
This is a real-time demo built with HuggingFace SmolVLM and llama.cpp using only a webcam
(Github link below) pic.twitter.com/yAkNt6P7PDNear-instantaneous open-source vision models are here, and they’re cheap: This is a real-time demo built with HuggingFace SmolVLM and llama.cpp using only a webcam (Github link below)
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Primer on how Claude Code creator uses Claude Code
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An amazing resource. A primer on how the creator of Claude Code is using Claude Code.
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9 Steps to Build Functional AI Agents from Scratch
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How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.
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Guide autocomplete toggle for prompt engineering
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*immediately goes to config to toggle the autocomplete for prompts* This is a great guide. Thanks.
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AI Agents: Reasoning, Planning, and Tool Use for Goal Achievement
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AI Agent = AI that reasons + plans + uses tools + acts to hit a goal.
Loop: goal → sense → plan → tool use → act → eval → memory → improve. Core parts: system prompt, tools/APIs, short- & long-term memory, adaptive traits. Shift: chatbots give answers; agents deliver -
New stunning AI models draw users away from older tools
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It usually isn't that they have become boring; it's that some new model like Anthropic Claude came along, which is stunningly useful. And so, you move all your time away from the other tools to using Anthropic Claude or whatever the new model is. This just keeps coming—it's hard
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All Prompts Work Across Any AI Generator
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Oui en fait tous les promots qu'on trouve peuvent être utilisé sur tous les générateurs