Building an AI Agent in 2026 is no longer just about picking an LLM.
The real magic happens in the system around the model. 🤖
This roadmap perfectly breaks down how modern AI agents are actually built from scratch. 👇
A production-ready AI agent needs 8 core layers:
1️⃣ Define the Purpose
Before writing prompts, define:
• use case
• user needs
• constraints
• success metrics
Most AI projects fail because this step is skipped.
2️⃣ System Prompt Design
Prompts are becoming operating systems for agents.
A strong system prompt defines:
• role/persona
• goals
• instructions
• safety guardrails
3️⃣ Choose the Right LLM
Different models = different strengths.
• GPT-5.5 → versatility & tool usage
• Claude → reasoning & long context
• Perplexity → research & citations
There’s no “best model.”
Only the best model for the task.
4️⃣ Tools & Integrations
This is where AI becomes actionable.
Agents connected to:
• APIs
• MCP servers
• databases
• custom tools
• external apps
Can actually execute workflows instead of just generating text.
5️⃣ Memory Systems
Memory is the difference between:
“a chatbot”
and
“an intelligent assistant.”
Modern agents use:
• working memory
• vector databases
• structured storage
• episodic memory
6️⃣ Orchestration
This is the hidden layer most people ignore.
Workflows, triggers, queues, retries, routing, multi-agent coordination…
This is what turns prompts into systems.
7️⃣ User Interface
The best AI products win on UX, not just intelligence.
Chat apps, APIs, Slack bots, dashboards - interface matters.
8️⃣ Testing & Evaluations
If you don’t measure quality, latency, reliability & hallucinations…
your AI product will eventually break at scale.
The biggest takeaway?
AI Engineering is rapidly becoming a combination of:
Software Engineering + Prompting + Systems Design + Automation.
The engineers who understand orchestration, memory, tools & workflows will dominate the next decade of AI products.
Save this roadmap.
This is basically the blueprint for building AI agents in 2026. 🚀
Follow for more AI engineering breakdowns, prompts, workflows & agent architectures.
Made with seedance 2.0 + GPT Image 2
Prompt: Ultra-realistic sports broadcast still of a glamorous woman sitting in a packed football stadium crowd during a night match, wearing a dark brown sleeveless high-neck satin top and black square earrings, shoulder-length light brown/blonde hair styled in soft waves. She is casually drinking from a tall blue aluminum can while holding a half-eaten cheeseburger in the other hand. Around her are fans in bright yellow and blue football jerseys and scarves, creating strong team-color contrast. The scene feels candid and cinematic, captured mid-game from a TV broadcast camera angle with shallow depth of field. Include realistic stadium seating, crowded audience atmosphere, broadcast overlay graphics in the top-left corner showing a live football score and match timer, and a sports network watermark in the top-right. Natural arena lighting, detailed skin texture, sharp focus on the woman, slightly blurred background crowd, authentic live sports broadcast aesthetic, 16:9 composition.
The smartest people on the internet just open-sourced their brain.
11 GitHub repos worth bookmarking:
- iFixAi — Open-source AI misalignment diagnostic. 32 tests. Grades your AI stack in under 5 minutes.
https://t.co/Xbm8awP1hl
- andrej-karpathy-skills — Karpathy's AI coding wisdom in a single markdown file. 109K+ stars.
https://t.co/tOr4XGYPO0
- MemPalace — Milla Jovovich co-built this AI memory system with Claude Code. Near-perfect LongMemEval score.
https://t.co/zjSwfv3hpn
- OpenClaw — Peter Steinberger's personal AI assistant. 300K+ stars. Fastest growing repo in GitHub history.
https://t.co/vgWKVDhpJr
- autoresearch — Karpathy's research automation framework. 23K stars in three days.
https://t.co/fVnXmLiRn9
- awesome-claude-code — The canonical Claude Code playbook. Used inside FAANG, OpenAI, and Anthropic.
https://t.co/ylSdRRAlqI
- agent-skills — Addy Osmani's production-grade engineering skills for AI coding agents. 30K+ stars.
https://t.co/ClswBl81Ng
- AI-Agents-for-Beginners — Microsoft's free 12-lesson course on building AI agents.
https://t.co/DhS6mUIWNM
- awesome-llm-apps — 106K+ stars. The largest collection of working AI apps on GitHub.
https://t.co/ilZKbFOZzz
- hermes-agent — Self-evolving AI agent. Gets smarter the more you use it.
https://t.co/06jfIpE0ho
- qlib — Microsoft's full quant investment platform. A hedge fund brain, free to clone.
https://t.co/sBbYjvX1uZ
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How to set up Claude Code so it runs like a full dev team:
5 folders. That's the entire system.
1. CLAUDE.md → Memory.
Your repo's constitution. Naming rules, structure, expectations. One global file for all projects, one local file per repo.
2. skills/ → Knowledge.
Reusable workflows Claude auto-invokes by matching the task description. No slash commands. It just knows.
3. hooks/ → Guardrails.
Shell scripts that run before and after every tool call. Block dangerous commands. Auto-lint on save. Ping Slack on deploy. Deterministic. Not AI.
4. subagents/ → Delegation.
Isolated agents with their own context window. A code reviewer that only sees the diff. A test runner with custom permissions. Keeps your main session clean.
5.plugins/ → Distribution.
Bundle the whole system into one install. Every teammate gets the same skills, same hooks, same agents. Aligned from day one.
This is the Agent Development Kit. Five layers, one stack.
To learn how and get the full Claude guide:
1. Go to https://t.co/xViEAXTX7v
2. Subscribe free by just writing your email.
3. Open my welcome email and get the free resources.
Repost ♻️ to help someone in your network.
I built 30 Claude Skills this year.
Now Claude handles my content workflow
without me re-explaining anything.
Here's every Skill worth building
as a content creator:
Writing & Publishing
↳ Write → LinkedIn Post Generator
↳ Hook → Viral Opener Writer
↳ Thread → X Thread Builder
↳ Caption → Instagram Caption Writer
↳ Script → Short Form Video Writer
↳ Newsletter → Email Sequence Writer
↳ Ghost → Client Post Writer
↳ Story → Brand Storytelling Writer
These 8 cover every content format.
I describe the topic. Claude writes it.
Repurposing & Recycling
↳ Repurpose → Carousel Converter
↳ Recycle → Top Post Refresher
↳ Batch → Bulk Content Generator
↳ Title → YouTube Title Optimizer
One post becomes 5 formats.
Claude handles the conversion.
Research & Ideation
↳ Research → Topic Deep Diver
↳ Idea → Content Ideation Engine
↳ Trend → Trending Topic Spotter
↳ Analyze → Viral Post Breakdown
I never run out of content ideas.
These 4 skills feed my calendar weekly.
Quality & Brand Control
↳ Edit → Anti-AI Humanizer
↳ Audit → Content QA Checker
↳ Review → Content Feedback Reviewer
↳ Brief → Brand Voice Guide
↳ Reply → Comment Persona Generator
Nothing leaves my desk without
running through these 5 first.
Planning & Strategy
↳ Plan → Content Calendar Builder
↳ Persona → Audience Profile Builder
↳ Report → Campaign Results Summarizer
Strategy used to take me hours.
Now it takes one prompt each week.
Client & Business Ops
↳ Pitch → Sponsorship Deck Builder
↳ Outreach → Cold DM Writer
↳ Onboard → Client Intake Processor
↳ Collab → Partnership Brief Writer
↳ Invoice → Client Invoice Creator
↳ Track → Brand Deal Tracker
From cold outreach to final invoice.
6 skills cover the full client cycle.
30 skills. 6 categories.
A prompt is a one-time instruction.
A skill is a permanent playbook.
Build once. Run forever.
Which workflow would you automate first?
Follow Muhammad Ayan ♻️ Repost to help others.
Storyboard of this video created with GPT image 2
Prompt:
Create a wide 16-panel cinematic storyboard infographic showing the daily routine of a young Japanese woman running her own cozy coffee café. Use a realistic photography style with warm cinematic colors, soft café lighting, shallow depth of field, detailed interiors, and premium coffee-shop atmosphere. Each panel should feature the same realistic Japanese woman with a ponytail, white shirt, dark apron, and natural expressions. Arrange the storyboard in a clean 4x4 grid layout with numbered panels, bold titles, short bullet points, and smooth visual storytelling similar to a professional film-production storyboard. Scenes include: opening the café, grinding coffee beans, brewing espresso, steaming milk, creating latte art, serving customers, taking orders, baking desserts, cleaning the coffee counter, washing cups, restocking ingredients, managing the cash register, decorating the café, evening cleanup, closing the café, and relaxing with coffee at the end of the day. Add realistic steam, reflections, warm sunlight, café décor, cinematic camera angles, and cozy ambience throughout all scenes. Ultra-detailed, realistic human appearance, luxury café commercial aesthetic, visually organized storyboard composition, 4K quality.
If I had to learn AI agents in 7 days, I would not read a single paper.
I would build from these 10 GitHub repos.
1. awesome-llm-apps
The starting point. 100+ working agent apps you can clone and run on day one. 106K+ stars.
Repo → https://t.co/oXrD5A8K6a
2. AI-Agents-for-Beginners
Microsoft's free 12-lesson course. Real code, real exercises, no theory dump.
Repo → https://t.co/7dNsDw6bTj
3. CrewAI
Build your first multi-agent crew in under 3 hours. Used by 60% of the Fortune 500.
Repo → https://t.co/0xohE065sD
4. LangGraph
The orchestration layer every production AI system runs on in 2026. The skill on every senior AI engineer job description.
Repo → https://t.co/bzVBn9uecV
5. awesome-mcp-servers
MCP is the agent-tool standard in 2026. Plug your agent into 100+ tools without writing integrations.
Repo → https://t.co/ejVOgkRJDX
6. OpenHands
Study a real autonomous coding agent that ships pull requests on its own.
Repo → https://t.co/kqap76TDuB
7. Smolagents
Hugging Face's minimal agent framework. ~1000 lines. The cleanest way to understand how agents actually work.
Repo → https://t.co/HgK9yxMcUH
8. Pydantic AI
The type-safe agent framework production teams are migrating to. Best choice for shipping reliable agents at work.
Repo → https://t.co/ESZkxsTXIR
9. OpenAI Agents SDK
The official OpenAI framework for handoffs, tool calls, and conversation context.
Repo → https://t.co/zV3llhnbw7
10. Letta (formerly MemGPT)
Agents that remember. Long-term memory, self-editing prompts, persistent identity.
Repo → https://t.co/qx02lTEepP
Here's the wildest part:
You don't need a paper, a PhD, or a course. You need a laptop, 7 days, and these 10 repos.
The skill that pays $200K in 2026 is not understanding agents. It is shipping them.
Day 1 you clone. Day 7 you have a working agent. The rest is iteration.
Save this before you forget.
100% free. 100% open source.
CLAUDE + YouTube = $$$$
CLAUDE + YouTube = $$$$
CLAUDE + YouTube = $$$$
No degree. No camera. No editing skills.
Even a 15-year-old can do this.
I'm going to show you exactly how.
12 prompts that print money on YouTube 👇
I created a character sheet using ChatGPT image 2.0 to help AI video creators to create professionally directed video.
Try the prompt below inside GPT image 2.0....
"Create a cinematic, film-production-grade character design sheet intended for a director, casting team, and costume department. This must feel like a high-budget animated film pitch board, not a generic model sheet. CORE DIRECTIVE (NON-NEGOTIABLE)No generic layouts No evenly spaced grids No symmetry for the sake of neatness Composition must feel art-directed, intentional, slightly asymmetrical Every section should feel placed, not auto-generated CHARACTER IDENTITY Name: [Full character name] Alias / ID: [Nickname, codename, symbolic title] Age: [Real or stylized age logic] Height: [Exact height in cm/ft] Build: [Detailed body type with nuance — proportions, weight distribution, posture tendencies] Ethnicity / Design Language:[Real-world influence or stylized hybrid approach — Pixar-esque, anime-inspired, culturally grounded, etc.] FACE DESIGN Structure:[Face shape, bone structure, exaggeration level, asymmetry] Skin / Surface:[Texture, tone, subsurface softness, imperfections, stylization level] Eyes:[Size, spacing, color, expressiveness, quirks] Hair:[Style, texture, behavior (physics), imperfections, movement logic] Distinct Features:[Any defining traits — scars, dimples, stretch, elasticity, etc.] PSYCHOLOGICAL PROFILE (DRIVES PERFORMANCE) Core Traits:[3–5 dominant personality traits] Internal Conflict:[What they want vs what sabotages them] Behavior Patterns: [Habit 1] [Habit 2] [Habit 3] Emotional Baseline:[Default emotional state + how quickly it shifts] PERFORMANCE DIRECTION (CRITICAL) Character must feel like a real actor caught mid-moment, not posing. Expression Notes: Micro-expressions required (lip tension, eye movement, eyebrow shifts) Avoid staged symmetry Capture transitional emotion (before/after reaction) Body Language: [Posture tendencies] [Movement rhythm: stiff, bouncy, dragging, sharp, etc.] [Idle behavior: fidgeting, stillness, tension] WARDROBE (PRODUCTION-REALISTIC WITH STYLIZATION) Primary Outfit: [Garment 1: fabric type, wear, imperfections] [Garment 2: fit, distortion, stitching details] [Layering logic] Footwear:[Material, wear patterns, realism vs stylization] Accessories:[Functional + character-revealing items] Props:[Objects frequently carried that reinforce personality] MATERIAL & TEXTURE ACCURACY Fabrics must show stretch, stitching, wrinkles, wear Surfaces must avoid plastic look unless intentionally stylized Skin should have soft light interaction, slight bounce Include imperfections: dirt, smudges, aging, usage marks TURNAROUND REQUIREMENTS (STRICT CONSISTENCY) Generate full-body turnaround with identical proportions and design fidelity: Front View 3/4 View Side View Back View 3/4 Back View No drift in proportions, face, or costume. HEAD STUDY (ACTOR REFERENCE QUALITY) Include expressive head variations: Front (neutral or controlled expression) 3/4 (primary personality expression) Profile (structure clarity) Looking Down (emotion: [insert]) Looking Up (emotion: [insert]) Dynamic Angle (emotion: [insert intense state]) Expressions must feel captured mid-thought, not posed. CINEMATIC PORTRAIT (FILM STILL) Environment:[Specific location tied to character behavior] Lighting:[Motivated sources — practical lights, ambient glow, contrast level] Color Tone:[Palette direction — warm, cool, mixed, stylized] Expression:[Specific narrative moment] Camera:[Real-world lens feel — 50mm, 85mm, etc.] Shallow depth of field, cinematic realism CAMERA + LIGHTING SPECIFICATIONS Full Body: Lens: [e.g., 35mm] Lighting: soft key + bounce Natural exposure, no HDR Portrait: Lens: [e.g., 85mm] Depth of field: shallow Focus priority: eyes and expression COMPOSITION & LAYOUT Clean but art-directed sheet layout Neutral background (gray or soft tone) for turnaround Structured but visually dynamic section placement Include: Height scale reference Annotation callouts (fabric stretch, personality cues, prop usage) Wardrobe breakdown section Notes for production Layout must feel like a premium studio presentation board STYLE [Define clearly] Examples: Pixar-style stylized realism Hyper-expressive animation realism Semi-realistic cinematic character design Must include: Appealing exaggeration Soft geometry Cinematic lighting High emotional readability CONSISTENCY RULE (STRICT) Face, proportions, costume, and details must remain identical across all views and sections No reinterpretation between angles. OUTPUT QUALITY Extremely high detail Sharp focus Production-ready fidelity Suitable for film development, merchandising, and pitch decks
"
10 GitHub repos that print money while you sleep:
1. AutoHedge
https://t.co/vpAFgGlRRX…
2. Vibe-Trading
https://t.co/IUiBQyyuoJ…
3. Claude Ads
https://t.co/7012CDa2sx…
4. Toprank
https://t.co/15q8wnFqNB…
5. Fincept Terminal
https://t.co/mEvDhPbhn1…
6. Agentic Inbox
https://t.co/5sj1lAtIIi…
7. ClawRouter
https://t.co/1ZpLub24xv…
8. Camofox Browser
https://t.co/QM9xhWBQv4…
9. Open Higgsfield AI
https://t.co/HG8TM4Wj6J…
10. Hyperframes
https://t.co/xuJo3sY5it…
If you’d love to see more content like this, don’t forget to follow @I_am_Aiabir for more AI magic.