ai-automation-workflows

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# AI Automation Workflows

Build automated AI workflows via [inference.sh](https://inference.sh) CLI.

![AI Automation Workflows](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg0v0nz7wv0qwqjtq1cam52z.jpeg)

## Quick Start

```bash
curl -fsSL https://cli.inference.sh | sh && infsh login

# Simple automation: Generate daily image
infsh app run falai/flux-dev --input '{
  "prompt": "Inspirational quote background, minimalist design, date: '"$(date +%Y-%m-%d)"'"
}'
```

> **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available.

## Automation Patterns

### Pattern 1: Batch Processing

Process multiple items with the same workflow.

```bash
#!/bin/bash
# batch_images.sh - Generate images for multiple prompts

PROMPTS=(
  "Mountain landscape at sunrise"
  "Ocean waves at sunset"
  "Forest path in autumn"
  "Desert dunes at night"
)

for prompt in "${PROMPTS[@]}"; do
  echo "Generating: $prompt"
  infsh app run falai/flux-dev --input "{
    \"prompt\": \"$prompt, professional photography, 4K\"
  }" > "output_${prompt// /_}.json"
  sleep 2  # Rate limiting
done
```

### Pattern 2: Sequential Pipeline

Chain multiple AI operations.

```bash
#!/bin/bash
# content_pipeline.sh - Full content creation pipeline

TOPIC="AI in healthcare"

# Step 1: Research
echo "Researching..."
RESEARCH=$(infsh app run tavily/search-assistant --input "{
  \"query\": \"$TOPIC latest developments\"
}")

# Step 2: Write article
echo "Writing article..."
ARTICLE=$(infsh app run openrouter/claude-sonnet-45 --input "{
  \"prompt\": \"Write a 500-word blog post about $TOPIC based on: $RESEARCH\"
}")

# Step 3: Generate image
echo "Generating image..."
IMAGE=$(infsh app run falai/flux-dev --input "{
  \"prompt\": \"Blog header image for article about $TOPIC, modern, professional\"
}")

# Step 4: Generate social post
echo "Creating social post..."
SOCIAL=$(infsh app run openrouter/claude-haiku-45 --input "{
  \"prompt\": \"Write a Twitter thread (5 tweets) summarizing: $ARTICLE\"
}")

echo "Pipeline complete!"
```

### Pattern 3: Parallel Processing

Run multiple operations simultaneously.

```bash
#!/bin/bash
# parallel_generation.sh - Generate multiple assets in parallel

# Start all jobs in background
infsh app run falai/flux-dev --input '{"prompt": "Hero image..."}' > hero.json &
PID1=$!

infsh app run falai/flux-dev --input '{"prompt": "Feature image 1..."}' > feature1.json &
PID2=$!

infsh app run falai/flux-dev --input '{"prompt": "Feature image 2..."}' > feature2.json &
PID3=$!

# Wait for all to complete
wait $PID1 $PID2 $PID3
echo "All images generated!"
```

### Pattern 4: Conditional Workflow

Branch based on results.

```bash
#!/bin/bash
# conditional_workflow.sh - Process based on content analysis

INPUT_TEXT="$1"

# Analyze content
ANALYSIS=$(infsh app run openrouter/claude-haiku-45 --input "{
  \"prompt\": \"Classify this text as: positive, negative, or neutral. Return only the classification.\n\n$INPUT_TEXT\"
}")

From concisegjh/openakita, Apache-2.0.

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